This is not a true dictionary, but rather a phonetic transformation from english words to Quickscript. Some standardized spellings may be transformed incorrectly. Submit any suggestions as an issue on this project's github page.
The "Phenomes" section displayes the phenomes obtained from the Carnegie Mellon Pronouncing Dictionary. For more information on these phenomes, see the ARPABET wikipedia article.
You can view this page's source on this project's github page.
http://www.speech.cs.cmu.edu/cgi-bin/cmudict


教学楼： [[${classroom.buildingName}]]
教室名称： [[${classroom.classroomName}]]
教室人数： [[${classroom.classroomStudentAmount}]]


{# Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. #} {% extends "airflow/master.html" %} {% block title %}Chart{% endblock %} {% block tail %} {{ super() }}
{{ sql }}
{% endif %}


| goog.Disposable | |
| goog.events.EventTarget | goog.Disposable |
| goog.testing.net.XhrIo | goog.events.EventTarget |
|
opt_testQueue
: goog.testing.TestQueue=
Test queue for inserting test events.
|
|
abort(opt_failureCode)
Abort the current XMLHttpRequest
Arguments:
|
code » | ||
|
getLastError()
⇒
Gets the last error message.
Returns:
Last error message.
|
code » | ||
|
getLastErrorCode()
⇒
goog.net.ErrorCode
Gets the last error message.
Returns:
goog.net.ErrorCode
Last error code.
|
code » | ||
|
getLastUri()
⇒
Gets the last URI that was requested.
Returns:
Last URI.
|
code » | ||
|
getReadyState()
⇒
Returns the readystate.
Returns:
goog.net.XmlHttp.ReadyState.*.
|
code » | ||
|
getResponseHeader(key)
⇒
Get the value of the response-header with the given name from the Xhr object
Will only return correct result when called from the context of a callback
and the request has completed
|
code » | ||
|
getResponseJson()
⇒
Gets the response and evaluates it as JSON from the Xhr object. Will only
return correct result when called from the context of a callback.
Returns:
JavaScript object.
|
code » | ||
|
getResponseText()
⇒
Gets the response text from the Xhr object. Will only return correct result
when called from the context of a callback.
Returns:
Result from the server.
|
code » | ||
|
getResponseXml()
⇒
Gets the response XML from the Xhr object. Will only return correct result
when called from the context of a callback.
Returns:
Result from the server if it was XML.
|
code » | ||
|
getStatus()
⇒
Get the status from the Xhr object. Will only return correct result when
called from the context of a callback.
Returns:
Http status.
|
code » | ||
|
getStatusText()
⇒
Get the status text from the Xhr object. Will only return correct result
when called from the context of a callback.
Returns:
Status text.
|
code » | ||
|
getTimeoutInterval()
⇒
Returns the number of milliseconds after which an incomplete request will be
aborted, or 0 if no timeout is set.
Returns:
Timeout interval in milliseconds.
|
code » | ||
|
isActive()
⇒
No description.
Returns:
Whether there is an active request.
|
code » | ||
|
isComplete()
⇒
Has the request completed.
Returns:
Whether the request has completed.
|
code » | ||
|
isSuccess()
⇒
Has the request compeleted with a success.
Returns:
Whether the request compeleted successfully.
|
code » | ||
|
send(url, opt_method, opt_content, opt_headers)
Simulates the XhrIo send.
|
code » | ||
|
setTimeoutInterval(ms)
Sets the number of milliseconds after which an incomplete request will be
aborted and a goog.net.EventType.TIMEOUT event raised; 0 means no
timeout is set.
Arguments:
|
code » | ||
|
simulateReady()
No description.
|
code » | ||
|
simulateReadyStateChange(readyState)
Simulates changing to the new ready state.
Arguments:
|
code » | ||
|
simulateResponse(statusCode, response, opt_headers)
Simulates receiving a response.
|
code » | ||
|
simulateTimeout()
No description.
|
code » |
|
addEventListener(type, handler, opt_capture, opt_handlerScope)
Adds an event listener to the event target. The same handler can only be
added once per the type. Even if you add the same handler multiple times
using the same type then it will only be called once when the event is
dispatched.
Supported for legacy but use goog.events.listen(src, type, handler) instead.
Arguments:
|
code » | |||||
|
dispatchEvent(e)
⇒
Dispatches an event (or event like object) and calls all listeners
listening for events of this type. The type of the event is decided by the
type property on the event object.
If any of the listeners returns false OR calls preventDefault then this
function will return false. If one of the capture listeners calls
stopPropagation, then the bubble listeners won't fire.
Arguments:
Returns:
If anyone called preventDefault on the event object (or if any of the handlers returns false this will also return false.
|
code » | |||||
|
disposeInternal()
Unattach listeners from this object. Classes that extend EventTarget may
need to override this method in order to remove references to DOM Elements
and additional listeners, it should be something like this:
MyClass.prototype.disposeInternal = function() { MyClass.superClass_.disposeInternal.call(this); // Dispose logic for MyClass }; |
code » | |||||
|
getParentEventTarget()
⇒
Returns the parent of this event target to use for bubbling.
Returns:
The parent EventTarget or null if there is no parent.
|
code » | |||||
|
removeEventListener(type, handler, opt_capture, opt_handlerScope)
Removes an event listener from the event target. The handler must be the
same object as the one added. If the handler has not been added then
nothing is done.
Arguments:
|
code » | |||||
|
setParentEventTarget(parent)
Sets the parent of this event target to use for bubbling.
Arguments:
|
code » |
|
dispose()
No description.
|
code » | |
|
disposeInternal()
Deletes or nulls out any references to COM objects, DOM nodes, or other
disposable objects. Classes that extend
goog.Disposable should
override this method. For example:
mypackage.MyClass = function() { goog.Disposable.call(this); // Constructor logic specific to MyClass. ... }; goog.inherits(mypackage.MyClass, goog.Disposable); mypackage.MyClass.prototype.disposeInternal = function() { mypackage.MyClass.superClass_.disposeInternal.call(this); // Dispose logic specific to MyClass. ... }; |
code » | |
|
getDisposed()
⇒
No description.
Returns:
Whether the object has been disposed of.
|
code » | |
|
isDisposed()
⇒
No description.
Returns:
Whether the object has been disposed of.
|
code » |
|
active_
:
Whether MockXhrIo is active.
|
Code » | |
|
lastError_
:
Last error message.
|
Code » | |
|
lastUri_
:
Last URI that was requested.
|
Code » | |
|
readyState_
:
Mock ready state.
|
Code » | |
|
timeoutId_
:
Window timeout ID used to cancel the timeout event handler if the request
completes successfully.
|
Code » | |
|
timeoutInterval_
:
Number of milliseconds after which an incomplete request will be aborted and
a goog.net.EventType.TIMEOUT event raised; 0 means no timeout is set.
|
Code » |
|
goog.testing.net.XhrIo.cleanupSend_(XhrIo)
Disposes of the specified goog.testing.net.XhrIo created by
goog.testing.net.XhrIo.send and removes it from
goog.testing.net.XhrIo.pendingStaticSendInstances_.
Arguments:
|
code » | |||||||
|
Returns an Array containing all non-disposed instances of
goog.testing.net.XhrIo created by goog.testing.net.XhrIo.send.
Returns:
Array of goog.testing.net.XhrIo instances.
|
code » | |||||||
|
goog.testing.net.XhrIo.send(url, opt_callback, opt_method, opt_content, opt_headers, opt_timeoutInterval)
Simulates the static XhrIo send method.
Arguments:
|
code » |
|
All non-disposed instances of goog.testing.net.XhrIo created
by goog.testing.net.XhrIo.send are in this Array.
|
Code » |


Delhi air quality may see further improvement due to wind, rainfall
According to SAFAR, the AQI is likely to improve further in the event of adequate rainfall.
by BS Web TeamThere was further relief for residents of Delhi as light rains helped improve Air Quality Index (AQI) to some extent. As of 7:30 am, the overall AQI for the city stood at 314, which is classified under 'Poor'.
According to SAFAR, the AQI is likely to improve further in the event of adequate rainfall.
The agency further noted, "The effective biomass fire counts observed on 6th Nov were high (3534) but the wind direction is not favorable for any stubble fire plume intrusion."
Going by to the IMD's forecast for Delhi, Friday will see more improvement with, "Partly cloudy sky. Possibility of very light rain/thunder showers. Shallow/moderate fog in the morning."
Delhi's overall AQI improved significantly (from very poor to poor) the day before, on Thursday, more rapidly than predicted. The PM 2.5 -- tiny particulate matter less than 2.5 microns in diameter that can enter into the lungs and event the bloodstream -- and PM 10 levels also dropped.
An AQI between 0-50 is considered good, 51-100 satisfactory, 101-200 moderate, 201-300 poor, 301-400 very poor, and 401-500 severe. Above 500 is severe-plus emergency category.
| Place | PM2.5 | PM10 |
| Gurugram | 348 | 205 |
| New Delhi | 315 | 184 |
| Noida | 328 | 226 |
| Delhi University | 311 | 192 |
| Chandani Chowk | 364 | 364 |


Here javadoc information the the Der Die Das software is provided. The open source project can be found
here
.


WITNESS LIST Ways & Means Committee April 20, 2005-10:30A HB 483 For: Coggins, Linda (Self and Texas Licensed Child Care Association President-Elect) HB 1743 For: Utter, Tom (City of Corpus Christi) HB 1874 For: McEwen, Clark (Texas Recreational Vehicle Association) Nemeth, Mark S. (Escapee RV Club) HB 1897 For: Alvarado, Paul (Self and Villa Muse Studios) Atherton, Liz (Self and The Alliance) Burklund, Janis (Representing Dallas Film & Video Industry. Director - Dallas Film Commission) Faucett, Greg (Self) Garcia, Hector (Self and Screen Actors Guild (SAG)/American Federation of Television & Radio Artists (AFTRA)) Long, David (Self) Mayer-Oakes, Drew (City of San Antonio/San Antonio Convention & Visitors Bureau) Rector, Ken (Internation Alliance of Theatrical Stage Employees (IATSE) Local 484 - Texas) Rowe, Step (Self) Schrimpf, John (Panavision Dallas) On: Copeland, Tom (Governors Offfice/Texas Film Commission) HB 2787 For: Aghamalian, Brandon (City of Fort Worth/Mayor, Council, City Manager) McCarthy, Francis E (Self and Central City Committee) HB 3108 For: Reed, Cyrus (Texas Center for Policy Studies/LoneStar Chapter of Sierra Club) Against: Baum, Walt ((AECT) Association of Electric Companies of Texas) Gerstenschlager, MerryLynn (Self and Texas Eagle Forum - Education Liaison) On: Fullerton, Don (Self) HB 3301 For: Aghamalian, Brandon (City of Fort Worth Mayor, City Council, City Manager) Lister, Weldon (City of San Antonio Fire Department) HB 3463 For: Michel, Lorri (Self and Texas Protax/Aaron Rets) HJR 18 For: Coggins, Linda (Self and Texas Licensed Child Care Association, President-Elect)


Introducing Invento AI Assistant
AI Assistant on desktop which uses Terminal
and is a super fast and open-source as well
as a cross-platform Assistant.
Information
Language - Python3
SpeechRecognition Engine - Google Speech API
Text to speech conversion Engine - pyttsx3
Avaliable for :-
How to run it ?
To run it download the zip from the button above and unzip the folder and open the dist folder and run the application inside it.
More to see
Invento Crystal IO Website
Ninja CSS
Invento Docker


{% extends "base.html" %} {% block title %}
The aim of this step is to establish, for the system which is under the scope of this assessment, a detailed and prioritized list of all threats related to the primary and supporting assets of processing operations identified in the previous step that would trigger different risks.
{% endblock %} {% block content %}| # | Affected Supporting Asset | Supporting Asset Type | Added threats |
|---|


Getting Host List From Master Server
If you have not already, we would suggest reviewing the Master Server Quick Start documentation to get familiar with the Master Server and to setup the stand alone executable and then reviewing Connecting to Master Server to learn how to register your game server on the master server.
Request stages
There are a few stages when requesting the list of servers from the master server:
- Connect to Master Server
- Create a JSONNode request
- Send the request to the server
- Get response from the server
- Parse response from server
- Implement your code
(1) So the very first thing you have to do is to connect to the master server. We have created a helper class to get you doing this quickly:
// TODO: This will be the address of the machine your master server is running on
string host = "<IP_ADDRESS>";
ushort port = 15937;
// The Master Server communicates over TCP
TCPMasterClient client = new TCPMasterClient();
// Just call the connect method and you are ready to go
client.Connect(host, ort);
(2) Once your server is accepted (which you can use the serverAccepted
event) you can create your request to the master server. The request is a JSONNode object that follows this structure:
{
get:
{
id: "myGame",
type: "any",
mode: "all"
}
}
You can do this with code similar to the following:
// The overall game id to select from
string gameId = "myGame";
// The game type to choose from, if "any" then all types will be returned
string gameType = "any";
// The game mode to choose from, if "all" then all game modes will be returned
string gameMode = "all";
// Create the get request with the desired filters
JSONNode sendData = JSONNode.Parse("{}");
JSONClass getData = new JSONClass();
// The id of the game to get
getData.Add("id", gameId);
getData.Add("type", gameType);
getData.Add("mode", gameMode);
sendData.Add("get", getData);
(3) Now that we have the json sendData
we need to send it to the server. Since JSON can be a string representation, you can send it directly to the server as a Text frame in Forge:
// Send the request to the server
client.Send(Frame.Text.CreateFromString(client.Time.Timestep, sendData.ToString(), true, Receivers.Server, MessageGroupIds.MASTER_SERVER_GET, true));
(4) If you listen to the textMessageReceived
event on the client
object you will be able to capture the response from the server. This response will contain any errors (if any) and most importantly, your game list!
(5) Now that you have the JSON response from the server, you will need to parse it into the MasterServerResponse
object. Lets imagine that your json response variable is called data
, then the code you will need to parse the response to this object is:
// Create a C# object for the response from the master server
MasterServerResponse response = new MasterServerResponse(data["hosts"].AsArray);
Note: If data["hosts"]
is null, then there was an error.
(6) Now that you have the MasterServerResponse
object, you are ready to start writing your code for the UI and any other behaviors you want to execute based on the server listing.
foreach (MasterServerResponse.Server server in response.serverResponse)
{
// TODO: Do something with the server information here!
}
Refresh Complete Sample
Below is a complete example of how to:
- Connect to master server
- Request the games list from the master server
- Process the list of games returned from the master server
- Disconnect from the master server
The below example can be used to refresh the current listings of hosts from the master server. Please be sure to read the comments within the code to better understand what is going on. It is also good to scroll up and reference the top of this page to see why and when things happen in this sample.
public void Refresh()
{
// TODO: Clear out any previously listed servers
// The Master Server communicates over TCP
TCPMasterClient client = new TCPMasterClient();
// Once this client has been accepted by the master server it should sent it's get request
client.serverAccepted += () =>
{
try
{
// The overall game id to select from
string gameId = "myGame";
// The game type to choose from, if "any" then all types will be returned
string gameType = "any";
// The game mode to choose from, if "all" then all game modes will be returned
string gameMode = "all";
// Create the get request with the desired filters
JSONNode sendData = JSONNode.Parse("{}");
JSONClass getData = new JSONClass();
// The id of the game to get
getData.Add("id", gameId);
getData.Add("type", gameType);
getData.Add("mode", gameMode);
sendData.Add("get", getData);
// Send the request to the server
client.Send(Frame.Text.CreateFromString(client.Time.Timestep, sendData.ToString(), true, Receivers.Server, MessageGroupIds.MASTER_SERVER_GET, true));
}
catch
{
// If anything fails, then this client needs to be disconnected
client.Disconnect(true);
client = null;
}
};
// An event that is raised when the server responds with hosts
client.textMessageReceived += (player, frame) =>
{
try
{
// Get the list of hosts to iterate through from the frame payload
JSONNode data = JSONNode.Parse(frame.ToString());
if (data["hosts"] != null)
{
// Create a C# object for the response from the master server
MasterServerResponse response = new MasterServerResponse(data["hosts"].AsArray);
if (response != null && response.serverResponse.Count > 0)
{
// Go through all of the available hosts and add them to the server browser
foreach (MasterServerResponse.Server server in response.serverResponse)
{
Debug.Log("Name: " + server.Name);
Debug.Log("Address: " + server.Address);
Debug.Log("Port: " + server.Port);
Debug.Log("Comment: " + server.Comment);
Debug.Log("Type: " + server.Type);
Debug.Log("Mode: " + server.Mode);
Debug.Log("Players: " + server.Players);
Debug.Log("Max Players: " + server.MaxPlayers);
Debug.Log("Protocol: " + server.Protocol);
// TODO: Update UI or something with the above data
}
}
}
}
finally
{
if (client != null)
{
// If we succeed or fail the client needs to disconnect from the Master Server
client.Disconnect(true);
client = null;
}
}
};
client.Connect(masterServerHost, (ushort)masterServerPort);
}


This simple page lets you securely encrypt a message with a password. Your message will not leave your computer, and will not be sent over the Internet.
Once it's encoded, you'll be able to share your message with anyone else who has the password.


| Selection | Article | PMID | Species | Topics | Cells | Samples |
|---|---|---|---|---|---|---|
| {{ study.article }} | {{ study.pmid }} | {{ study.species | join:"," }} | {{ study.topics | join:"," }} | {{ study.cell_sorted | join:"," }} | {{ study.samples_count | join:"," }} |
{% extends "base.html" %} {% load static i18n %} {% load crispy_forms_tags %} {% block content %}
| Selection | Article | PMID | Species | Topics | Cells | Samples |
|---|---|---|---|---|---|---|
| {{ study.article }} | {{ study.pmid }} | {{ study.species | join:"," }} | {{ study.topics | join:"," }} | {{ study.cell_sorted | join:"," }} | {{ study.samples_count | join:"," }} |


For a given matrix A with entries aij, the transpose, AT, is the matrix with entries aji.
For example, the transpose of $ \left ( \begin{array}{cc} 1 & 2 \\ 3 & 4 \end{array} \right ) $ is $ \left ( \begin{array}{cc} 1 & 3 \\ 2 & 4 \end{array} \right ) . $


Your privacy is important to us. It is kubenav's policy to respect your privacy regarding any information we may collect from you across our website/app, https://kubenav.io, and other sites we own and operate.
We only ask for personal information when we truly need it to provide a service to you. We collect it by fair and lawful means, with your knowledge and consent. We also let you know why we're collecting it and how it will be used.
We only retain collected information for as long as necessary to provide you with your requested service. What data we store, we'll protect within commercially acceptable means to prevent loss and theft, as well as unauthorized access, disclosure, copying, use or modification.
We don't share any personally identifying information publicly or with third-parties, except when required to by law.
Our website/app may link to external sites that are not operated by us. Please be aware that we have no control over the content and practices of these sites, and cannot accept responsibility or liability for their respective privacy policies.
You are free to refuse our request for your personal information, with the understanding that we may be unable to provide you with some of your desired services.
Your continued use of our website/app will be regarded as acceptance of our practices around privacy and personal information. If you have any questions about how we handle user data and personal information, feel free to contact us via email (admin@kubenav.io).
This policy is effective as of 6 February 2020.


class RleMatrixD extends MatriD with Error with Serializable
The RleMatrixD
class stores and operates on Numeric Matrices of type Double
.
Rather than storing the matrix as a 2 dimensional array, it is stored as an array
of RleVectorD's.
- Alphabetic
- By Inheritance
- RleMatrixD
- Serializable
- Serializable
- MatriD
- Error
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Instance Constructors
-
new
RleMatrixD(d1: Int, d2: Int, v: Array[RleVectorD] = null, deferred: Boolean = false)
- d1
the first/row dimension
- d2
the second/column dimension
- v
the 1D array used to store matrix elements
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
def
*(b: MatriD): MatriD
Multiply 'this' matrix by matrix 'b'.
Multiply 'this' matrix by matrix 'b'.
- b
the matrix to multiply by (requires 'sameCrossDimensions')
- Definition Classes
- RleMatrixD → MatriD
-
def
*(x: Double): RleMatrixD
Multiply 'this' matrix by scalar 'x'.
Multiply 'this' matrix by scalar 'x'.
- x
the scalar to multiply by
- Definition Classes
- RleMatrixD → MatriD
-
def
*(u: VectoD): VectoD
Multiply 'this' matrix by (column) vector 'u'
Multiply 'this' matrix by (column) vector 'u'
- u
the vector to multiply by
- Definition Classes
- RleMatrixD → MatriD
-
def
**(u: VectoD): MatriD
Multiply 'this' matrix by vector 'u' to produce another matrix 'a_ij * u_j'.
Multiply 'this' matrix by vector 'u' to produce another matrix 'a_ij * u_j'. E.g., multiply a matrix by a diagonal matrix represented as a vector.
- u
the vector to multiply by
- Definition Classes
- RleMatrixD → MatriD
-
def
**=(u: VectoD): MatriD
Multiply in-place 'this' matrix by vector 'u' to produce another matrix 'a_ij * u_j'.
Multiply in-place 'this' matrix by vector 'u' to produce another matrix 'a_ij * u_j'.
- u
the vector to multiply by
- Definition Classes
- RleMatrixD → MatriD
-
def
*:(u: VectoD): VectoD
Multiply (row) vector 'u' by 'this' matrix.
Multiply (row) vector 'u' by 'this' matrix. Note '*:' is right associative. vector = vector *: matrix
- u
the vector to multiply by
- Definition Classes
- MatriD
-
def
*=(b: MatriD): MatriD
Multiply in-place 'this' matrix by matrix 'b'
Multiply in-place 'this' matrix by matrix 'b'
- b
the matrix to multiply by (requires square and 'sameCrossDimensions')
- Definition Classes
- RleMatrixD → MatriD
-
def
*=(x: Double): RleMatrixD
Multiply in-place 'this' matrix by matrix 'x'
Multiply in-place 'this' matrix by matrix 'x'
- x
the matrix to multiply by
- Definition Classes
- RleMatrixD → MatriD
-
def
+(u: VectoD): MatriD
Add 'this' matrix and vector 'u'.
Add 'this' matrix and vector 'u'.
- u
the matrix to add (requires leDimensions)
- Definition Classes
- RleMatrixD → MatriD
-
def
+(x: Double): RleMatrixD
Add 'this' matrix and scalar 'x'.
-
def
+(b: MatriD): RleMatrixD
Add 'this' matrix and matrix 'b'.
Add 'this' matrix and matrix 'b'.
- b
the matrix to add (requires leDimensions)
- Definition Classes
- RleMatrixD → MatriD
-
def
++(b: MatriD): RleMatrixD
Concatenate (row-wise) 'this' matrix and matrix 'b'.
Concatenate (row-wise) 'this' matrix and matrix 'b'. FIX
- b
the matrix to be concatenated as the new last rows in new matrix
- Definition Classes
- RleMatrixD → MatriD
-
def
++^(b: MatriD): RleMatrixD
Concatenate (column-wise) 'this' matrix and matrix 'b'.
Concatenate (column-wise) 'this' matrix and matrix 'b'.
- b
the matrix to be concatenated as the new last columns in new matrix
- Definition Classes
- RleMatrixD → MatriD
-
def
+:(u: VectoD): RleMatrixD
Concatenate (row) vector 'u' and 'this' matrix, i.e., prepend 'u' to 'this'.
Concatenate (row) vector 'u' and 'this' matrix, i.e., prepend 'u' to 'this'.
- u
the vector to be prepended as the new first row in new matrix
- Definition Classes
- RleMatrixD → MatriD
-
def
+=(b: MatriD): MatriD
Add in-place 'this' matrix and matrix 'b'.
Add in-place 'this' matrix and matrix 'b'.
- b
the matrix to add (requires 'leDimensions')
- Definition Classes
- RleMatrixD → MatriD
-
def
+=(u: VectoD): MatriD
Add in-place 'this' matrix and vector 'u'.
-
def
+=(x: Double): MatriD
Add in-place 'this' matrix and scalar 'x'.
-
def
+^:(u: VectoD): RleMatrixD
Concatenate (column) vector 'u' and 'this' matrix, i.e., prepend 'u' to 'this'.
Concatenate (column) vector 'u' and 'this' matrix, i.e., prepend 'u' to 'this'.
- u
the vector to be prepended as the new first column in new matrix
- Definition Classes
- RleMatrixD → MatriD
-
def
-(b: MatriD): MatriD
From 'this' matrix subtract matrix 'b'.
From 'this' matrix subtract matrix 'b'.
- b
the matrix to subtract
- Definition Classes
- RleMatrixD → MatriD
-
def
-(u: VectoD): RleMatrixD
From 'this' matrix subtract vector 'u'.
From 'this' matrix subtract vector 'u'.
- u
the vector to subtract
- Definition Classes
- RleMatrixD → MatriD
-
def
-(x: Double): MatriD
From 'this' matrix subtract scalar 'x'.
From 'this' matrix subtract scalar 'x'.
- x
the scalar to subtract
- Definition Classes
- RleMatrixD → MatriD
-
def
-=(b: MatriD): MatriD
From 'this' matrix subtract in-place matrix 'b'.
From 'this' matrix subtract in-place matrix 'b'.
- b
the matrix to subtract (requires 'leDimensions')
- Definition Classes
- RleMatrixD → MatriD
-
def
-=(u: VectoD): MatriD
From 'this' matrix subtract in-place vector 'u'.
From 'this' matrix subtract in-place vector 'u'.
- u
the vector to subtract
- Definition Classes
- RleMatrixD → MatriD
-
def
-=(x: Double): MatriD
From 'this' matrix subtract in-place scalar 'x'.
From 'this' matrix subtract in-place scalar 'x'.
- x
the scalar to subtract
- Definition Classes
- RleMatrixD → MatriD
-
def
/(x: Double): MatriD
Divide 'this' matrix by scalar 'x'.
-
def
/=(x: Double): MatriD
Divide in-place 'this' matrix by scalar 'x'.
Divide in-place 'this' matrix by scalar 'x'.
- x
the scalar to divide by
- Definition Classes
- RleMatrixD → MatriD
-
def
:+(u: VectoD): RleMatrixD
Concatenate 'this' matrix and (row) vector 'u', i.e., append 'u' to 'this'.
Concatenate 'this' matrix and (row) vector 'u', i.e., append 'u' to 'this'.
- u
the vector to be appended as the new last row in new matrix
- Definition Classes
- RleMatrixD → MatriD
-
def
:^+(u: VectoD): RleMatrixD
Concatenate 'this' matrix and (column) vector 'u', i.e., append 'u' to 'this'.
Concatenate 'this' matrix and (column) vector 'u', i.e., append 'u' to 'this'.
- u
the vector to be appended as the new last column in new matrix
- Definition Classes
- RleMatrixD → MatriD
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
apply(): Array[RleVectorD]
Get the underlying 1D array for 'this' matrix.
-
def
apply(ir: Range, jr: Range): MatriD
Get a slice 'this' matrix row-wise on range 'ir' and column-wise on range 'jr'.
Get a slice 'this' matrix row-wise on range 'ir' and column-wise on range 'jr'. Ex: b = a(2..4, 3..5)
- ir
the row range
- jr
the column range
- Definition Classes
- RleMatrixD → MatriD
-
def
apply(i: Int): RleVectorD
Get 'this' matrix's vector at the 'i'-th index position ('i'-th row).
Get 'this' matrix's vector at the 'i'-th index position ('i'-th row).
- i
the row index
- Definition Classes
- RleMatrixD → MatriD
-
def
apply(i: Int, j: Int): Double
Get 'this' matrix's element at the 'i, j'-th index position.
Get 'this' matrix's element at the 'i, j'-th index position.
- i
the row index
- j
the column index
- Definition Classes
- RleMatrixD → MatriD
-
def
apply(i: Int, jr: Range): VectoD
Get a slice 'this' matrix row-wise at index 'i' and column-wise on range 'jr'.
Get a slice 'this' matrix row-wise at index 'i' and column-wise on range 'jr'. Ex: u = a(2, 3..5)
- i
the row index
- jr
the column range
- Definition Classes
- MatriD
-
def
apply(ir: Range, j: Int): VectoD
Get a slice 'this' matrix row-wise on range 'ir' and column-wise at index j.
Get a slice 'this' matrix row-wise on range 'ir' and column-wise at index j. Ex: u = a(2..4, 3)
- ir
the row range
- j
the column index
- Definition Classes
- MatriD
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
bsolve(y: VectoD): RleVectorD
Solve for 'x' using back substitution in the equation 'u*x = y' where 'this' matrix ('u') is upper triangular (see 'lud' above).
Solve for 'x' using back substitution in the equation 'u*x = y' where 'this' matrix ('u') is upper triangular (see 'lud' above).
- y
the constant vector
- Definition Classes
- RleMatrixD → MatriD
-
def
clean(thres: Double = TOL, relative: Boolean = true): MatriD
Clean values in 'this' matrix at or below the threshold 'thres' by setting them to zero.
Clean values in 'this' matrix at or below the threshold 'thres' by setting them to zero. Iterative algorithms give approximate values and if very close to zero, may throw off other calculations, e.g., in computing eigenvectors.
- thres
the cutoff threshold (a small value)
- relative
whether to use relative or absolute cutoff
- Definition Classes
- RleMatrixD → MatriD
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
def
col(col: Int, from: Int = 0): VectorD
Get column 'col' from the matrix, returning it as a vector.
Get column 'col' from the matrix, returning it as a vector.
- col
the column to extract from the matrix
- from
the position to start extracting from
- Definition Classes
- RleMatrixD → MatriD
-
def
col(col: Int): RleVectorD
Get column 'col' from the matrix, returning it as a vector.
Get column 'col' from the matrix, returning it as a vector.
- col
the column to extract from the matrix
-
def
copy(): RleMatrixD
Create an exact copy of 'this' m-by-n matrix.
Create an exact copy of 'this' m-by-n matrix.
- Definition Classes
- RleMatrixD → MatriD
-
def
csize: VectorI
Get size of each column of 'this' RleMatrix
- val d1: Int
- val d2: Int
- val deferred: Boolean
-
def
det: Double
Compute the determinant of 'this' matrix.
Compute the determinant of 'this' matrix. The value of the determinant indicates, among other things, whether there is a unique solution to a system of linear equations (a nonzero determinant).
- Definition Classes
- RleMatrixD → MatriD
-
def
diag(b: MatriD): RleMatrixD
Combine 'this' matrix with matrix 'b', placing them along the diagonal and filling in the bottom left and top right regions with zeros; '[this, b]'.
Combine 'this' matrix with matrix 'b', placing them along the diagonal and filling in the bottom left and top right regions with zeros; '[this, b]'.
- b
the matrix to combine with 'this' matrix
- Definition Classes
- RleMatrixD → MatriD
-
def
diag(p: Int, q: Int = 0): MatriD
Form a matrix '[Ip, this, Iq]' where Ir is a 'r-by-r' identity matrix, by positioning the three matrices 'Ip', 'this' and 'Iq' along the diagonal.
Form a matrix '[Ip, this, Iq]' where Ir is a 'r-by-r' identity matrix, by positioning the three matrices 'Ip', 'this' and 'Iq' along the diagonal. Fill the rest of matrix with zeros.
- p
the size of identity matrix Ip
- q
the size of identity matrix Iq
- Definition Classes
- RleMatrixD → MatriD
-
lazy val
dim1: Int
Dimension 1
Dimension 1
- Definition Classes
- RleMatrixD → MatriD
-
lazy val
dim2: Int
Dimension 2
Dimension 2
- Definition Classes
- RleMatrixD → MatriD
-
def
dot(b: RleMatrixD): RleVectorD
Compute the dot product of 'this' matrix and matrix 'b'.
Compute the dot product of 'this' matrix and matrix 'b'. Results in a Vector.
- b
the matrix to multiply by (requires same first dimensions)
-
def
dot(b: MatriD): RleVectorD
Compute the dot product of 'this' matrix and matrix 'b'.
Compute the dot product of 'this' matrix and matrix 'b'. Results in a Vector.
- b
the matrix to multiply by (requires same first dimensions)
- Definition Classes
- RleMatrixD → MatriD
-
def
dot(b: VectoD): VectoD
Compute the dot product of 'this' matrix and vector 'b', by first transposing 'this' matrix and then multiplying by 'b' (i.e., 'a dot u = a.t * b').
Compute the dot product of 'this' matrix and vector 'b', by first transposing 'this' matrix and then multiplying by 'b' (i.e., 'a dot u = a.t * b').
- b
the vector to multiply by (requires same first dimensions)
- Definition Classes
- RleMatrixD → MatriD
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(b: Any): Boolean
Override equals to determine whether 'this' vector equals vector 'b'.
Override equals to determine whether 'this' vector equals vector 'b'.
- b
the vector to compare with this
- Definition Classes
- RleMatrixD → AnyRef → Any
-
def
eye(m: Int, n: Int = 0): RleMatrixD
Create an 'm-by-n' identity matrix I (ones on main diagonal, zeros elsewhere).
Create an 'm-by-n' identity matrix I (ones on main diagonal, zeros elsewhere). If 'n' is <= 0, set it to 'm' for a square identity matrix. FIX: store as a diagonal matrix.
- m
the row dimension of the matrix
- n
the column dimension of the matrix (defaults to 0 => square matrix)
-
val
fString: String
Format string used for printing vector values (change using 'setFormat')
Format string used for printing vector values (change using 'setFormat')
- Attributes
- protected
- Definition Classes
- MatriD
-
def
finalize(): Unit
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
final
def
flaw(method: String, message: String): Unit
Show the flaw by printing the error message.
Show the flaw by printing the error message.
- method
the method where the error occurred
- message
the error message
- Definition Classes
- Error
-
def
foreach[U](f: (Array[Double]) ⇒ U): Unit
Iterate over 'this' matrix row by row applying method 'f'.
Iterate over 'this' matrix row by row applying method 'f'.
- f
the function to apply
- Definition Classes
- MatriD
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
-
def
getDiag(k: Int = 0): RleVectorD
Get the 'k'th diagonal of 'this' matrix.
Get the 'k'th diagonal of 'this' matrix.
- k
how far above the main diagonal, e.g., (-1, 0, 1) for (sub, main, super)
- Definition Classes
- RleMatrixD → MatriD
-
def
hashCode(): Int
Must also override hashCode for 'this' vector to be compatible with equals.
Must also override hashCode for 'this' vector to be compatible with equals.
- Definition Classes
- RleMatrixD → AnyRef → Any
-
def
inverse: MatriD
Invert 'this' matrix (requires a square matrix) and use partial pivoting.
Invert 'this' matrix (requires a square matrix) and use partial pivoting.
- Definition Classes
- RleMatrixD → MatriD
-
def
inverse_ip(): MatriD
Invert in-place 'this' matrix (requires a square matrix) and uses partial pivoting.
Invert in-place 'this' matrix (requires a square matrix) and uses partial pivoting. Note: this method turns the original matrix into the identity matrix. The inverse is returned and is captured by assignment.
- Definition Classes
- RleMatrixD → MatriD
-
def
isBidiagonal: Boolean
Check whether 'this' matrix is bidiagonal (has non-zero elements only in main diagonal and super-diagonal).
Check whether 'this' matrix is bidiagonal (has non-zero elements only in main diagonal and super-diagonal). The method may be overriding for efficiency.
- Definition Classes
- MatriD
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
def
isNonnegative: Boolean
Check whether 'this' matrix is nonnegative (has no negative elements).
Check whether 'this' matrix is nonnegative (has no negative elements).
- Definition Classes
- MatriD
-
def
isRectangular: Boolean
Check whether 'this' matrix is rectangular (all rows have the same number of columns).
Check whether 'this' matrix is rectangular (all rows have the same number of columns).
- Definition Classes
- RleMatrixD → MatriD
-
def
isSquare: Boolean
Check whether 'this' matrix is square (same row and column dimensions).
Check whether 'this' matrix is square (same row and column dimensions).
- Definition Classes
- MatriD
-
def
isSymmetric: Boolean
Check whether 'this' matrix is symmetric.
Check whether 'this' matrix is symmetric.
- Definition Classes
- MatriD
-
def
isTridiagonal: Boolean
Check whether 'this' matrix is bidiagonal (has non-zero elements only in main diagonal and super-diagonal).
Check whether 'this' matrix is bidiagonal (has non-zero elements only in main diagonal and super-diagonal). The method may be overriding for efficiency.
- Definition Classes
- MatriD
-
def
leDimensions(b: MatriD): Boolean
Check whether 'this' matrix dimensions are less than or equal to 'le' those of the other matrix 'b'.
Check whether 'this' matrix dimensions are less than or equal to 'le' those of the other matrix 'b'.
- b
the other matrix
- Definition Classes
- MatriD
-
def
lowerT: RleMatrixD
Return the lower triangular of 'this' matrix (rest are zero).
Return the lower triangular of 'this' matrix (rest are zero).
- Definition Classes
- RleMatrixD → MatriD
-
def
lud: (RleMatrixD, RleMatrixD)
Factor 'this' matrix into the product of lower and upper triangular matrices '(l, u)' using the 'LU' Factorization algorithm.
Factor 'this' matrix into the product of lower and upper triangular matrices '(l, u)' using the 'LU' Factorization algorithm.
- Definition Classes
- RleMatrixD → MatriD
-
def
lud_ip(): (RleMatrixD, RleMatrixD)
Factor in-place 'this' matrix into the product of lower and upper triangular matrices '(l, u)' using the 'LU' Factorization algorithm.
Factor in-place 'this' matrix into the product of lower and upper triangular matrices '(l, u)' using the 'LU' Factorization algorithm.
- Definition Classes
- RleMatrixD → MatriD
-
def
mag: Double
Find the magnitude of 'this' matrix, the element value farthest from zero.
Find the magnitude of 'this' matrix, the element value farthest from zero.
- Definition Classes
- MatriD
-
def
max(e: Int = dim1): Double
Find the maximum element in 'this' matrix.
Find the maximum element in 'this' matrix.
- e
the ending row index (exclusive) for the search
- Definition Classes
- RleMatrixD → MatriD
-
def
mdot(b: RleMatrixD): RleMatrixD
Compute the matrix dot product of 'this' matrix and matrix 'b'.
Compute the matrix dot product of 'this' matrix and matrix 'b'.
- b
the matrix to multiply by (requires same first dimensions)
-
def
mdot(b: MatriD): RleMatrixD
Compute the matrix dot product of 'this' matrix and matrix 'b'.
Compute the matrix dot product of 'this' matrix and matrix 'b'.
- b
the matrix to multiply by (requires same first dimensions)
- Definition Classes
- RleMatrixD → MatriD
-
def
mean: VectoD
Compute the column means of this matrix.
Compute the column means of this matrix.
- Definition Classes
- MatriD
-
def
min(e: Int = dim1): Double
Find the minimum element in 'this' matrix.
Find the minimum element in 'this' matrix.
- e
the ending row index (exclusive) for the search
- Definition Classes
- RleMatrixD → MatriD
-
def
mul2(u: RleVectorD): RleVectorD
Multiply 'this' matrix by (column) vector 'u'
Multiply 'this' matrix by (column) vector 'u'
- u
the vector to multiply by
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
norm1: Double
Compute the 1-norm of 'this' matrix, i.e., the maximum 1-norm of the column vectors.
Compute the 1-norm of 'this' matrix, i.e., the maximum 1-norm of the column vectors. This is useful for comparing matrices '(a - b).norm1'.
- Definition Classes
- MatriD
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
-
def
nullspace: VectoD
Compute the (right) nullspace of 'this' 'm-by-n' matrix (requires 'n = m+1') by performing Gauss-Jordan reduction and extracting the negation of the last column augmented by 1.
Compute the (right) nullspace of 'this' 'm-by-n' matrix (requires 'n = m+1') by performing Gauss-Jordan reduction and extracting the negation of the last column augmented by 1.
nullspace (a) = set of orthogonal vectors v s.t. a * v = 0
The left nullspace of matrix 'a' is the same as the right nullspace of 'a.t'. FIX: need a more robust algorithm for computing nullspace (@see Fac_QR.scala). FIX: remove the 'n = m+1' restriction.
- Definition Classes
- RleMatrixD → MatriD
- See also
/solving-ax-0-pivot-variables-special-solutions/MIT18_06SCF11_Ses1.7sum.pdf
http://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/ax-b-and-the-four-subspaces
-
def
nullspace_ip(): VectoD
Compute in-place the (right) nullspace of 'this' 'm-by-n' matrix (requires 'n = m+1') by performing Gauss-Jordan reduction and extracting the negation of the last column augmented by 1.
Compute in-place the (right) nullspace of 'this' 'm-by-n' matrix (requires 'n = m+1') by performing Gauss-Jordan reduction and extracting the negation of the last column augmented by 1.
nullspace (a) = set of orthogonal vectors v s.t. a * v = 0
The left nullspace of matrix 'a' is the same as the right nullspace of 'a.t'. FIX: need a more robust algorithm for computing nullspace (@see Fac_QR.scala). FIX: remove the 'n = m+1' restriction.
- Definition Classes
- RleMatrixD → MatriD
- See also
/solving-ax-0-pivot-variables-special-solutions/MIT18_06SCF11_Ses1.7sum.pdf
http://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/ax-b-and-the-four-subspaces
-
val
range1: Range
Range for the storage array on dimension 1 (rows)
Range for the storage array on dimension 1 (rows)
- Definition Classes
- MatriD
-
val
range2: Range
Range for the storage array on dimension 2 (columns)
Range for the storage array on dimension 2 (columns)
- Definition Classes
- MatriD
-
def
rank(upper: Boolean = false): Int
Determine the rank of 'this' m-by-n matrix by taking the upper triangular matrix 'u' from the 'LU' Decomposition and counting the number of non-zero diagonal elements.
Determine the rank of 'this' m-by-n matrix by taking the upper triangular matrix 'u' from the 'LU' Decomposition and counting the number of non-zero diagonal elements. Implementing classes may override this method with a better one (e.g., using 'SVD' or Rank Revealing 'QR').
- upper
flag indicating whether this matrix is already upper triangular
- Definition Classes
- MatriD
- See also
http://en.wikipedia.org/wiki/Rank_%28linear_algebra%29
-
def
reduce: RleMatrixD
Use Gauss-Jordan reduction on 'this' matrix to make the left part embed an identity matrix.
Use Gauss-Jordan reduction on 'this' matrix to make the left part embed an identity matrix. A constraint on this 'm-by-n' matrix is that 'n >= m'. It can be used to solve 'a * x = b': augment 'a' with 'b' and call reduce. Takes '[a | b]' to '[I | x]'.
- Definition Classes
- RleMatrixD → MatriD
-
def
reduce_ip(): Unit
Use Gauss-Jordan reduction in-place on 'this' matrix to make the left part embed an identity matrix.
Use Gauss-Jordan reduction in-place on 'this' matrix to make the left part embed an identity matrix. A constraint on this 'm-by-n' matrix is that 'n >= m'. It can be used to solve 'a * x = b': augment 'a' with 'b' and call reduce. Takes '[a | b]' to '[I | x]'.
- Definition Classes
- RleMatrixD → MatriD
-
def
sameCrossDimensions(b: MatriD): Boolean
Check whether 'this' matrix and the other matrix 'b' have the same cross dimensions.
Check whether 'this' matrix and the other matrix 'b' have the same cross dimensions.
- b
the other matrix
- Definition Classes
- MatriD
-
def
sameDimensions(b: MatriD): Boolean
Check whether 'this' matrix and the other matrix 'b' have the same dimensions.
Check whether 'this' matrix and the other matrix 'b' have the same dimensions.
- b
the other matrix
- Definition Classes
- MatriD
-
def
selectCols(colIndex: Array[Int]): RleMatrixD
Select columns from 'this' matrix according to the given index/basis.
Select columns from 'this' matrix according to the given index/basis. Ex: Can be used to divide a matrix into a basis and a non-basis.
- colIndex
the column index positions (e.g., (0, 2, 5))
- Definition Classes
- RleMatrixD → MatriD
-
def
selectRows(rowIndex: Array[Int]): RleMatrixD
Select rows from 'this' matrix according to the given index/basis.
Select rows from 'this' matrix according to the given index/basis.
- rowIndex
the row index positions (e.g., (0, 2, 5))
- Definition Classes
- RleMatrixD → MatriD
-
def
set(u: Array[Array[Double]]): Unit
Set all the values in 'this' matrix as copies of the values in 2D array 'u'.
Set all the values in 'this' matrix as copies of the values in 2D array 'u'.
- u
the 2D array of values to assign
- Definition Classes
- RleMatrixD → MatriD
-
def
set(i: Int, u: VectoD, j: Int = 0): Unit
Set 'this' matrix's 'i'-th row starting at column 'j' to the vector 'u'.
Set 'this' matrix's 'i'-th row starting at column 'j' to the vector 'u'.
- i
the row index
- u
the vector value to assign
- j
the starting column index
- Definition Classes
- RleMatrixD → MatriD
-
def
set(x: Double): Unit
Set all the elements in 'this' matrix to the scalar 'x'.
Set all the elements in 'this' matrix to the scalar 'x'.
- x
the scalar value to assign
- Definition Classes
- RleMatrixD → MatriD
-
def
setCol(col: Int, u: VectoD): Unit
Set column 'col' of the matrix to a vector.
Set column 'col' of the matrix to a vector.
- col
the column to set
- u
the vector to assign to the column
- Definition Classes
- RleMatrixD → MatriD
-
def
setDiag(u: VectoD, k: Int = 0): Unit
Set the 'k'th diagonal of 'this' matrix to the vector 'u'.
Set the 'k'th diagonal of 'this' matrix to the vector 'u'. Assumes 'dim2 >= dim1'.
- u
the vector to set the diagonal to
- k
how far above the main diagonal, e.g., (-1, 0, 1) for (sub, main, super)
- Definition Classes
- RleMatrixD → MatriD
-
def
setDiag(x: Double): Unit
Set the main diagonal of 'this' matrix to the scalar 'x'.
Set the main diagonal of 'this' matrix to the scalar 'x'.
- x
the scalar to set the diagonal to
- Definition Classes
- RleMatrixD → MatriD
-
def
setFormat(newFormat: String): Unit
Set the format to the 'newFormat'.
-
def
slice(r_from: Int, r_end: Int, c_from: Int, c_end: Int): RleMatrixD
Slice 'this' matrix row-wise 'r_from' to 'r_end' and column-wise 'c_from' to 'c_end'.
Slice 'this' matrix row-wise 'r_from' to 'r_end' and column-wise 'c_from' to 'c_end'.
- r_from
the start of the row slice
- r_end
the end of the row slice
- c_from
the start of the column slice
- c_end
the end of the column slice
- Definition Classes
- RleMatrixD → MatriD
-
def
slice(from: Int, end: Int): RleMatrixD
Slice 'this' matrix row-wise 'from' to 'end'.
Slice 'this' matrix row-wise 'from' to 'end'.
- from
the start row of the slice (inclusive)
- end
the end row of the slice (exclusive)
- Definition Classes
- RleMatrixD → MatriD
-
def
sliceCol(from: Int, end: Int): RleMatrixD
Slice 'this' matrix column-wise 'from' to 'end'.
Slice 'this' matrix column-wise 'from' to 'end'.
- from
the start column of the slice (inclusive)
- end
the end column of the slice (exclusive)
- Definition Classes
- RleMatrixD → MatriD
-
def
sliceExclude(row: Int, col: Int): RleMatrixD
Slice 'this' matrix excluding the given row and/or column.
Slice 'this' matrix excluding the given row and/or column.
- row
the row to exclude
- col
the column to exclude
- Definition Classes
- RleMatrixD → MatriD
-
def
solve(b: VectoD): RleVectorD
Solve for 'x' in the equation 'a*x = b' where 'a' is 'this' matrix.
Solve for 'x' in the equation 'a*x = b' where 'a' is 'this' matrix.
- b
the constant vector.
- Definition Classes
- RleMatrixD → MatriD
-
def
solve(u: MatriD, b: VectoD): RleVectorD
Solve for 'x' in the equation 'l*u*x = b' where 'l = this'.
Solve for 'x' in the equation 'l*u*x = b' where 'l = this'. Requires 'l' to be lower triangular.
- u
the upper triangular matrix
- b
the constant vector
-
def
solve(lu: (MatriD, MatriD), b: VectoD): RleVectorD
Solve for 'x' in the equation 'l*u*x = b'
Solve for 'x' in the equation 'l*u*x = b'
- lu
the lower and upper triangular matrices
- b
the constant vector
- Definition Classes
- RleMatrixD → MatriD
-
def
solve(l: MatriD, u: MatriD, b: VectoD): RleVectorD
Solve for 'x' in the equation 'l*u*x = b'
Solve for 'x' in the equation 'l*u*x = b'
- l
the lower triangular matrix
- u
the upper triangular matrix
- b
the constant vector
- Definition Classes
- RleMatrixD → MatriD
-
def
sum: Double
Compute the sum of 'this' matrix, i.e., the sum of its elements.
Compute the sum of 'this' matrix, i.e., the sum of its elements.
- Definition Classes
- RleMatrixD → MatriD
-
def
sumAbs: Double
Compute the 'abs' sum of 'this' matrix, i.e., the sum of the absolute value of its elements.
Compute the 'abs' sum of 'this' matrix, i.e., the sum of the absolute value of its elements. This is useful for comparing matrices '(a - b).sumAbs'.
- Definition Classes
- RleMatrixD → MatriD
-
def
sumLower: Double
Compute the sum of the lower triangular region of 'this' matrix.
Compute the sum of the lower triangular region of 'this' matrix.
- Definition Classes
- RleMatrixD → MatriD
-
def
swap(i: Int, k: Int, col: Int = 0): Unit
Swap the elements in rows 'i' and 'k' starting from column 'col'.
Swap the elements in rows 'i' and 'k' starting from column 'col'.
- i
the first row in the swap
- k
the second row in the swap
- col
the starting column for the swap (default 0 => whole row)
- Definition Classes
- MatriD
-
def
swapCol(j: Int, l: Int, row: Int = 0): Unit
Swap the elements in columns 'j' and 'l' starting from row 'row'.
Swap the elements in columns 'j' and 'l' starting from row 'row'.
- j
the first column in the swap
- l
the second column in the swap
- row
the starting row for the swap (default 0 => whole column)
- Definition Classes
- MatriD
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
t: RleMatrixD
Transpose 'this' matrix (columns => rows).
Transpose 'this' matrix (columns => rows).
- Definition Classes
- RleMatrixD → MatriD
-
def
toDense: MatrixD
Convert 'this' matrix to a dense matrix.
Convert 'this' matrix to a dense matrix.
- Definition Classes
- RleMatrixD → MatriD
-
def
toInt: MatrixI
Convert 'this'
RleMatrixD
into aMatrixI
.Convert 'this'
RleMatrixD
into aMatrixI
.- Definition Classes
- RleMatrixD → MatriD
-
def
toString(): String
Convert 'this' real (Double precision) matrix to a string.
Convert 'this' real (Double precision) matrix to a string.
- Definition Classes
- RleMatrixD → AnyRef → Any
-
def
trace: Double
Compute the trace of 'this' matrix, i.e., the sum of the elements on the main diagonal.
Compute the trace of 'this' matrix, i.e., the sum of the elements on the main diagonal. Should also equal the sum of the eigenvalues.
- Definition Classes
- RleMatrixD → MatriD
- See also
Eigen.scala
-
def
update(ir: Range, jr: Range, b: MatriD): Unit
Set a slice 'this' matrix row-wise on range ir and column-wise on range 'jr'.
Set a slice 'this' matrix row-wise on range ir and column-wise on range 'jr'. Ex: a(2..4, 3..5) = b
- ir
the row range
- jr
the column range
- b
the matrix to assign
- Definition Classes
- RleMatrixD → MatriD
-
def
update(i: Int, u: VectoD): Unit
Set 'this' matrix's row at the 'i'-th index position to the vector 'u'.
Set 'this' matrix's row at the 'i'-th index position to the vector 'u'.
- i
the row index
- u
the vector value to assign
- Definition Classes
- RleMatrixD → MatriD
-
def
update(i: Int, j: Int, x: Double): Unit
Set 'this' matrix's element at the 'i, j'-th index position to the scalar 'x'.
Set 'this' matrix's element at the 'i, j'-th index position to the scalar 'x'.
- i
the row index
- j
the column index
- x
the scalar value to assign
- Definition Classes
- RleMatrixD → MatriD
-
def
update(i: Int, jr: Range, u: VectoD): Unit
Set a slice of 'this' matrix row-wise at index 'i' and column-wise on range 'jr' to vector 'u'.
Set a slice of 'this' matrix row-wise at index 'i' and column-wise on range 'jr' to vector 'u'. Ex: a(2, 3..5) = u
- i
the row index
- jr
the column range
- u
the vector to assign
- Definition Classes
- MatriD
-
def
update(ir: Range, j: Int, u: VectoD): Unit
Set a slice of 'this' matrix row-wise on range 'ir' and column-wise at index 'j' to vector 'u'.
Set a slice of 'this' matrix row-wise on range 'ir' and column-wise at index 'j' to vector 'u'. Ex: a(2..4, 3) = u
- ir
the row range
- j
the column index
- u
the vector to assign
- Definition Classes
- MatriD
-
def
upperT: RleMatrixD
Return the upper triangular of 'this' matrix (rest are zero).
Return the upper triangular of 'this' matrix (rest are zero).
- Definition Classes
- RleMatrixD → MatriD
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
def
write(fileName: String): Unit
Write 'this' matrix to a CSV-formatted text file with name 'fileName'.
Write 'this' matrix to a CSV-formatted text file with name 'fileName'.
- fileName
the name of file to hold the data
- Definition Classes
- RleMatrixD → MatriD
-
def
zero(mm: Int, nn: Int): RleMatrixD
Create an m-by-n matrix with all elements intialized to zero.
Create an m-by-n matrix with all elements intialized to zero.
- Definition Classes
- RleMatrixD → MatriD
-
def
~^(p: Int): RleMatrixD
Raise 'this' matrix to the 'p'th power (for some integer 'p' >= 2).
Raise 'this' matrix to the 'p'th power (for some integer 'p' >= 2). FIX - make compatible with imple in BldMatrix
- p
the power to raise 'this' matrix to
- Definition Classes
- RleMatrixD → MatriD


Main inspiration for that feature have been dependency injection frameworks. Preferred way to inject fields'
values to classes is to do it via constructor. This forces very repetitive construction of constructors where
we always have argument passed and assigned to the corresponding field in a class. TypeScript Fields feature
is designed to let programmer get rid of that redundancy with possibility of automatic fields' generation.
There are 4 annotations that contribute to that feature: @Private
, @PackagePrivate
,
@Protected
and @Public
. Each of it should be applied to the constructor in a class
and causes Kendal to generate field with proper access modifier. There is also an optional attribute
makeFinal
which let's programmer decide whether new field should be final or not. It defaults to true
.
@Service
class FooService {
private final SomeFactory someFactory;
private final SpecialValidator specialValidator;
private final ItemRepository itemRepository;
@Autowired
FooService(SomeFactory someFactory, SpecialValidator specialValidator, ItemRepository itemRepository) {
this.someFactory = someFactory;
this.specialValidator = specialValidator;
this.itemRepository = itemRepository;
// some logic
}
Object createNewItem(Object newItemDto) {
specialValidator.validate(newItemDto);
Object newItem = someFactory.construct(newItemDto);
return itemRepository.save(newItem);
}
}
@Service
class FooService {
@Autowired
FooService(@Private SomeFactory someFactory, @Private SpecialValidator specialValidator,
@Private ItemRepository itemRepository) {
// some logic
}
Object createNewItem(Object newItemDto) {
specialValidator.validate(newItemDto);
Object newItem = someFactory.construct(newItemDto);
return itemRepository.save(newItem);
}
}


Based on the scatter plot above, you can see that shockingly there were more locations with higher humidity levels above the equator. Unaware of the humidity levels in the winter months, it was interesting to see the wide spectrum of high humidity north of the equator. I was aware that it was very humid around the equator, but after some research of my own it was interesting to learn humidity levels were significantly higher in the winter months than expected which could explain the trend above.


Quiz Title/Header
Question title would go right here...
Far left
Left
Middle
Right
Far right
Question two would go right here...
Far left 2
Left 2
Middle 2
Right 2
Far right 2
Question three would go right here...
Far left 3
Left 3
Middle 3
Right 3
Far right 3
Question four would go right here...
Far left 4
Left 4
Middle 4
Right 4
Far right 4
Question five would go right here...
Far left 5
Left 5
Middle 5
Right 5
Far right 5


Landfills and the natural environment are the final destinations for more than three-quarters of non-degradable plastic trash (Geyer et al. 2017). Since the ocean is downstream from nearly every terrestrial location, it is the receiving body for much of the plastic waste generated on land. The plastic that finds its way into the ocean is mostly mismanaged. It consists of small particles hidden just below the surface of the water that circulates and concentrates in the ocean gyres, large circular systems of ocean currents
Relatively little of our plastic waste is recycled because there are various types of plastic with different chemical compositions, and recycled plastics can be contaminated by the mixing of types. Plastic waste is also contaminated by materials such as paper and ink. Separating plastics from non-plastics in the recycling process, and different types of plastic from each other, is labor-intensive and so far there has been no easy solution.
Since, we currently recycle only a small percentage of our plastic output. Unless some basic changes take place soon, the global plastic problem will only grow more and more severe over time. If we assume a business as usual projection with growing populations, increasing plastic consumption and increased waste generation, by 2025, this number doubles – we may be adding 17.5 million metric tons of plastic per year. If that happens, then our cumulative input over time from 2010 to 2025 is projected to be 155 million metric tons (Jambeck et al, 2015).


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WITNESS LIST Elections Committee April 14, 1999-2:00P HB 311 Against: COOK, HAROLD (TEXAS DEMOCRATIC PARTY) On: MCGEEHAN, ANN (SECRETARY OF STATE) Registering, but not testifying: For: COLLINS, MARY ANN (REPUBLICAN PARTY OF TEXAS) PEREZ, J.R. (Self and THE TEXAS ASSOCIATIO OF ELECTIONS ADMINISTRATORS) HB 705 For: KIMBROUGH, JOHN D. (LIONS CLUB INTERNATIONAL MD 2) ROSE SR., LINDALL C. (LION CLUB INTERNATIONAL MD-2) Against: SMOOT, SAMANTHA (TEXAS FREEDOM NETWORK) Registering, but not testifying: For: COLLINS, MARY ANN (REPUBLICAN PARTY OF TX) GALBREATH, THOMAS (MD-2 LIONS OF TEXAS; JOE AL PICONE, COUNCIL CHAIRMAN) GARDEN, WILLIAM E. (Self) HB 866 Against: COLLINS, MARY ANN (REPUBLICAN PARTY OF TEXAS) Registering, but not testifying: For: PEREZ, J.R. (Self and THE TEXAS ASSOCIATION OF ELECTION ADMINISTRATORS) On: COOK, HAROLD (TEXAS DEMOCRATIC PARTY) HB 927 For: DEBEAUVOIR, DANA (Self and COUNTY CLERKS LEGISLATIVE CMTE) Against: COLLINS, MARY ANN (REPUBLICAN PARTY OF TEXAS) CUSACK, PAULINE (Self and GILLESPIE COUNTY REPUBLICAN PARTY) KILGORE, JEAN (REPUBLICAN PARTY OF BURLESON CO.) KOOCK, BILL (REPUBLICAN PARTY MASON CO) LONG, ROBERT (BOB) K. (Self and REPUBLICAN PARTY OF BASTROP COUNTY) SIMMONS, BILL (Self) On: COOK, HAROLD (TEXAS DEMOCRATIC PARTY) Registering, but not testifying: For: PEREZ, J.R. (Self and THE TEXAS ASSOCIATION OF ELECTION ADMINISTRATORS) HB 940 For: DEBEAUVOIR, DANA (Self and COUNTY CLERKS LEGISLATIVE CMTE) PEREZ, J.R. (Self and THE TEXAS ASSOCIATION OF ELCTION ADMINISTRATORS) Against: COLLINS, MARY ANN (REPUBLICAN PARTY OF TEXAS) CUSACK, PAULINE (Self and GILLESPIE COUNTY REP. PARTY) KILGORE, JEAN (REPUBLICAN PARTY OF BURLESON CO.) KING, ROBERT (BOB) (Self and REPUBLICAN PARTY OF BASTROP COUNTY) KOOCK, BILL (REPUBLICAN PARTY MASON CO.) PARDUE, CRAIG (DALLAS COUNTY) SIMMONS, BILL (REPUBLICAN PARTY LLANO CO TX) On: COOK, HAROLD (TEXAS DEMOCRATIC PARTY) HB 1548 Against: COLLINS, MARY ANN (REPUBLICAN PARTY OF TEXAS) COOK, HAROLD (TEXAS DEMOCRATIC PARTY) HB 1577 For: COLLINS, MARY ANN (REPUBLILCAN PARTY OF TEXAS) PEREZ, J.R. (Self and THE TEXAS ASSOCIATION OF ELECTION ADMINISTRATORS) Against: MARTIN, ED (Self and TEXAS DEMOCRATIC PARTY (AT REQUEST OF ED, HAROLD COOK)) On: MCGEEHAN, ANN (SECRETARY OF STATE) HB 1698 For: COLLINS, MARY ANN (REPUBLICAN PARTY OF TEXAS) On: MARTIN, ED (Self and AS A CONSULTANT, IN BEHALF OF THE TEXAS DEOMOCRATIC PARTY AT THE REQUEST OF THE E.D. & CHAIR) PEREZ, J.R. (Self and THE TEXAS ASSOCIATION OF ELECTION ADMINISTRATORS) HB 2057 Against: PEREZ, J.R. (Self and THE TEXAS ASSOCIATION OF ELECTION ADMINISTRATORS) On: COOK, HAROLD (TEXAS DEMOCRATIC PARTY) HB 2862 For: COOK, HAROLD (TEXAS DEMOCRATIC PARTY) DEBEAUVOIR, DANA (Self and COUNTY CLERKS LEGISLATIVE CMTE) PEREZ, J.R. (Self and THE TEXAS ASSOCIATION OF ELECTION ADMINISTRATORS) HB 3712 For: GUALTIERE, CRAIG (Self and RANDALL COUNTY, TEXAS) On: HANSHAW, ELIZABETH (SECRETARY OF STATE) Registering, but not testifying: For: COLLINS, MARY ANN (REPUBLICAN PARTY OF TEXAS)


SoftBank's Yahoo Japan, Line Corp announce merger
by ReutersHighlights:
- SoftBank, Naver to form 50:50 venture controlling Line, Yahoo
- Tender offer for Line's shares planned at 5,200 yen per share
- Line's share up 2.6% at 5,180 yen in early trading
Japanese telco SoftBank Corp announced on Monday plans to merge its internet unit Yahoo Japan with messaging app operator Line Corp, as it scoops up struggling internet companies to bulk up against rivals such as Rakuten.
SoftBank said in a statement that Yahoo Japan, which last month changed its name to Z Holdings, will merge with Line, owned by South Korea's Naver Corp, in a deal to be completed by October 2020.
The companies aim for a definitive agreement by next month in a transaction that will see SoftBank Corp and Naver form a 50:50 venture that will control Z Holdings, which will in turn operate Line and Yahoo.
SoftBank Corp is a unit of investment behemoth SoftBank Group Corp.
SoftBank Corp and Naver, which owns 73% of money-losing Line, plan to launch a tender offer for Line's remaining shares at 5,200 yen per share, a 13.4% premium to the share price before news of the merger broke. Line's shares were up 2.6% at 5,180 yen in early trading on Monday.
Z Holdings will continue to be a consolidated subsidiary of SoftBank. It will hold a press conference with Line at 0800 GMT.


Exodus 1:20
Therefore God dealt well with the midwives: and the people multiplied, and waxed very mighty.


OW Scrims
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| Package | Description |
|---|---|
| org.apache.drill.common.expression |
Logical expression tree representation.
|
| org.apache.drill.exec.expr |
Drill expression materialization and evaluation facilities.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BooleanPredicate<C extends Comparable<C>> |
class |
ComparisonPredicate<C extends Comparable<C>>
Comparison predicates for metadata filter pushdown.
|
class |
DrillFuncHolderExpr
Represents the call of a function within a query and includes
the actual arguments and a reference to the function declaration (as a
"function holder.")
|
class |
HiveFuncHolderExpr |
class |
IsPredicate<C extends Comparable<C>> |
Copyright © 2021 The Apache Software Foundation. All rights reserved.


More than one in three in Haiti need urgent food aid: UN
GENEVA: More than a third of Haitians are facing "severe food insecurity", sparked by price hikes, dwindling agricultural production and widespread social unrest, the UN's World Food Programme warned Friday (Nov 8).
A study conducted last month showed that out of Haiti's 11 million inhabitants, nearly 3.7 million are in a situation of "severe food insecurity," WFP spokesman Herve Verhoosel told journalists in Geneva.
Among them, more than one million people are considered to be facing a food "emergency" - just one step away from "famine" - meaning families face extreme hardship to meet their food needs, the agency said.
The poorest country in the Americas has been roiled for two months by protests, which were triggered by fuel shortages but have turned violent and morphed into a broader campaign against President Jovenel Moise.
According to UN figures, at least 42 people have been killed and dozens injured during anti-government protests since mid-September.
Verhoosel lamented that the dire security situation in Haiti had hampered WFP and other aid organisations' efforts to reach people in need for more than seven weeks.
"WFP's school feeding programme has been badly affected and many deliveries have had to be postponed," he said.
"WFP has also postponed food distributions through cash-based transfers," he said, warning that "This is affecting some of the most vulnerable communities in Haiti who were counting on this assistance to provide food to their families."
Verhoosel pointed out that food insecurity had swelled by 15 per cent in rural areas of the country since the previous study was conducted there nearly a year ago.
And last month's analysis had for the first time looked at urban areas in the Port-au-Prince, finding that some neighbourhoods of Cite Soleil in the capital were categorised as facing a food "emergency".
"Without immediate assistance, the situation is expected to deteriorate further," Verhoosel warned, pointing out that the analysis conducted last month indicated that the number of people in urgent need of food assistance would swell to 4.1 million by next March.


-
- Title:
- {{book.title | limitTo:35}}
- Pages:
- {{book.pages}}
- Authors:
-
{{getAuthors(book.authors) | limitTo:17}}
- Average Rating:
- {{book.averageRating}}
- Ratings Count:
- {{book.ratingsCount}}
- Saleability:
- {{formatSaleability(book.saleability)}}
- Price:
- {{book.listPrice | currency}}


Glasgow Warriors 13-7 Sale: Warriors survive fightback in Champions Cup
by Tom English| Champions Cup |
|---|
| Glasgow Warriors: 13 (13) |
| Try: Van der Merwe Con: Hastings Pens: Hastings 2 |
| Sale Sharks: 7 (0) |
| Try: Oosthuizen Con: MacGinty |
Nervy Glasgow Warriors held off a second-half fightback by Sale Sharks to open their Champions Cup campaign with a 13-7 win.
DTH van der Merwe's try at the end of the first half was reward for a dominant display as Sale struggled to make inroads into Warriors' 22.
Sale were better after the break and cut the deficit to six points after Coenie Oosthuizen's try.
That kept the hosts on edge but Sale could not find another score.
The visitors were left to rue a poor first 40 minutes in what was their first Champions Cup match since the 2016-17 season.
Relief for Glasgow, frustration for Sale
Glasgow lost their opening home game in Europe last season against Saracens, but the English visitors then were of an altogether different order to the English visitors here. Sale are going solidly in the Premiership but the chance of them suffocating Dave Rennie's team the way the reigning champions did a year ago was always remote.
The chances of them making a fight of this looked impossible for large parts of it. They were outplayed for vast chunks. Their lineout was a mess, their amount of ball negligible until the hour mark when Glasgow's previously comfortable day suddenly became sweaty as Sale stirred.
They had come to Scotland without their stellar names, of course. No Faf de Klerk, no Tom Curry, no Mark Wilson. No Lood de Jager either. That's an amount of brilliance and muscle to go without.
The hosts faced Saracens in their first game in Europe last season and also in their last, a pummelling defeat to the soon-to-be-champions. Perhaps with that physical monstering in mind, Glasgow had an edge about them from the start, an edge that brought a few early off-the-ball scraps.
Glasgow owned the ball for an hour. Even when early pressure and phase upon phase on the Sale five metre line went unrewarded in the face of the visitors' aggression there was always the sense that the points would come. Slowly, they did. Hastings banged over a penalty towards the end of the first quarter and then put over another early in the second quarter.
They'd played with a thunder that Sale struggled badly to cope with. Penalties started to flow as a consequence of the heat the visitors were under. After half an hour, Glasgow had enjoyed 77% possession and 82% territory. Sale's tackle stats were soaring. Ross Harrison, the loosehead, was sitting on 15 tackles all on his own.
Something had to give - and it did. In a rare sortie into Glasgow's 22, Sale got turned over. From the scrum, Glasgow won a penalty. Hastings rifled it to touch. Finally, Glasgow made their pressure count off a set-piece move, George Horne linking with Sam Johnson who fed it on to Van der Merwe. The wing cut inside the confused Marland Yarde and ran away to score.
The conversion made it 13-0, not quite a reflection of Glasgow's control but a handsome enough lead all the same. It was a lead you couldn't see them giving up, not even when Steve Diamond got angry and made five substitutions inside the first 10 minutes of the second half.
Things did change, though. Sale got up a head of steam and Oosthuizen, one of Diamond's emergency crew off the bench, drove over from close range. AJ MacGinty's conversion was good and out of the blue we had a single-score game on our hands.
Sale's new forwards gave them a power that they lacked earlier on and a menace that few inside Scotstoun could see coming. Rennie brought on Pete Horne for Hastings in an attempt to regain some control, a process that was helped no end by Sale's continuing lineout woes.
When they lost a fourth throw close to the end, Sale gave the impetus back to Glasgow, who were now a shadow of the side they looked in the first 40 minutes. Sale had another crack at them with the clock on red but the home defence repelled them.
Relief for Glasgow for holding out. Frustration for Sale for waking up too late. A bizarre game but four precious points for Glasgow from a game they said they had to win. They did, just about.
Glasgow Warriors: Seymour; Tagive, Grigg, Johnson, Van der Merwe; Hastings, G Horne; Kebble, Brown, Z Fagerson, Harley, Cummings, Wilson, Gibbins, M Fagerson.
Replacements: Turner, Allan, Rae, Swinson, Fusaro, Price, P Horne, Steyn.
Sale Sharks: Hammersley; Yarde, Redpath, James, McGuigan; MacGinty, Papier; Harrison, Webber, Cooper-Woolley, Evans, Phillips, J Du Preez, Curry, D Du Preez.
Replacements: Van der Merwe, Morozov, Oosthuizen, Postlethwaite, Ross, Cliff, R Du Preez, Ashton.


Benchmarking¶
Canterbury Corpus¶
The Canterbury Corpus is a set of small sized files that represent a wide range of data formats and is used to compare lossless compression algorithm performance. Applications can compare typical data sets with the corpus files to determine a rough estimate of compression performance. Since the benchmark does not measure compression speed the LZ4 compression utility has been compiled without modifications using GCC and run on a Windows PC to obtain the following results. The results are comparable to the original LZ4 implementation with the default command line options (fast compression).
| File | Category | Size (bytes) | Ratio (H2LS 10) | Ratio (H2LS 12) | Ratio (H2LS 14) |
|---|---|---|---|---|---|
alice29.txt |
English text | 152089 | 1.3079 | 1.5266 | 1.6782 |
asyoulik.txt |
Shakespeare | 125179 | 1.2684 | 1.4457 | 1.585 |
cp.html |
HTML source | 24603 | 1.6461 | 1.9097 | 2.0294 |
fields.c |
C source | 11150 | 1.9161 | 2.0614 | 2.0896 |
grammar.lsp |
LISP source | 3721 | 1.8512 | 1.9062 | 1.9141 |
kennedy.xls |
Excel Spreadsheet | 1029744 | 2.3826 | 2.5877 | 2.7481 |
lcet10.txt |
Technical writing | 426754 | 1.3491 | 1.6052 | 1.7899 |
plrabn12.txt |
Poetry | 481861 | 1.1735 | 1.3459 | 1.5018 |
ptt5 |
CCITT test set | 513216 | 5.6318 | 5.8115 | 5.9357 |
sum |
SPARC Executable | 38240 | 1.6961 | 1.9148 | 1.9827 |
xargs.1 |
GNU manual page | 4227 | 1.4526 | 1.5326 | 1.5632 |
| Total | 2810784 | 1.8572 | 2.0987 | 2.2825 |
The benchmark files, additional details and results for other compression algorithms can be found on the Canterbury Corpus webpage.
Silesia Corpus¶
The Silesia Corpus is a set of large size files that represent a wide range of data formats and is used to compare lossless compression algorithm performance. While large file sizes are not typical in embedded applications they can still be used to compare typical data sets with the corpus files to determine a rough estimate of compression performance. Since the benchmark does not measure compression speed the LZ4 compression utility has been compiled without modifications using GCC and run on a Windows PC to obtain the following results. The results are comparable to the original LZ4 implementation with the default command line options (fast compression).
| File | Category | Size (bytes) | Ratio (H2LS 10) | Ratio (H2LS 12) | Ratio (H2LS 14) |
|---|---|---|---|---|---|
alice29.txt |
English Text | 10192446 | 1.2268 | 1.4259 | 1.5882 |
mozilla |
Executable | 51220480 | 1.7236 | 1.8536 | 1.9501 |
mr |
Medical image | 9970564 | 1.5728 | 1.6653 | 1.7521 |
nci |
Database | 33553445 | 4.5649 | 5.357 | 5.7073 |
ooffice |
Executable | 6152192 | 1.2934 | 1.3811 | 1.466 |
osdb |
Database | 10085684 | 1.1354 | 1.4785 | 1.965 |
reymont |
Polish pdf | 6627202 | 1.5583 | 1.7694 | 1.8747 |
samba |
Source code | 21606400 | 2.1857 | 2.5442 | 2.7149 |
sao |
Binary data | 7251944 | 1.0208 | 1.0538 | 1.0945 |
webster |
HTML | 41458703 | 1.5805 | 1.8459 | 2.0475 |
xml |
HTML | 5345280 | 3.2759 | 3.8561 | 4.1454 |
x-ray |
Medical image | 8474240 | 1.0036 | 1.0115 | 1.0441 |
| Total | 211938580 | 1.7244 | 1.9328 | 2.0910 |
The benchmark files, additional details and results for other compression algorithms can be found on the Silesia Corpus webpage.
LZ4 Compression Speed¶
The speed at which data can be compressed is directly related to the compression ratio of the data. Data that can be compressed at a higher ratio can be compressed faster because there are more matched bytes and fewer literals that must be hashed into the table. The plot below shows a synthetic benchmark created to show how well the LZ4 algorithm performs on an embedded device. The original file being compressed is 32KB and a hash table size of 4096 is used.
As the compression ratio decreases the advantage becomes even more significant. This is because lower compression ratio results in less matches and more calls to the hashing function, decreasing the overall compression speed.


Coins
问题描述 :
People in Silverland use coins.They have coins of value A1,A2,A3…An Silverland dollar.One day Tony opened his money-box and found there were some coins.He decided to buy a very nice watch in a nearby shop. He wanted to pay the exact price(without change) and he known the price would not more than m.But he didn’t know the exact price of the watch.
You are to write a program which reads n,m,A1,A2,A3…An and C1,C2,C3…Cn corresponding to the number of Tony’s coins of value A1,A2,A3…An then calculate how many prices(form 1 to m) Tony can pay use these coins.
You are to write a program which reads n,m,A1,A2,A3…An and C1,C2,C3…Cn corresponding to the number of Tony’s coins of value A1,A2,A3…An then calculate how many prices(form 1 to m) Tony can pay use these coins.
输入:
The input contains several test cases. The first line of each test case contains two integers n(1<=n<=100),m(m<=100000).The second line contains 2n integers, denoting A1,A2,A3...An,C1,C2,C3...Cn (1<=Ai<=100000,1<=Ci<=1000). The last test case is followed by two zeros.
输出:
For each test case output the answer on a single line.
样例输入:
3 10 1 2 4 2 1 1 2 5 1 4 2 1 0 0
样例输出:
8 4
解题代码:
/* @author: */ import java.util.Scanner; import java.util.Arrays; public class Main{ public static void main(String args[]) { int N, M; Scanner sc=new Scanner(System.in); while(sc.hasNext()) { N=sc.nextInt();//硬币的种数 M=sc.nextInt();// if(N==0&&M==0) break; int a[]=new int[100];//a[i]表示第i种硬币的面值 int c[]=new int [100];//c[i]表示第i种硬币的个数 for (int i=0; i< N; i++) a[i]=sc.nextInt(); for (int i=0; i< N; i++) c[i]=sc.nextInt(); int nRes=0; boolean s[]=new boolean[100001]; s[0]=true; for (int i=0; i< N; i++) { int u[]=new int[100001]; for (int j=a[i]; j<=M; j++) { if (!s[j] && s[j-a[i]] && u[j-a[i]]< c[i]) { s[j]=true; u[j]=u[j-a[i]]+1; nRes++; } } } System.out.printf("%d\n", nRes); } } }
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这个还不错
感谢分享 学习了`(*∩_∩*)′
good !
写的好····· Pollard Rh
值得分享！
能不能说一下tmp数组和solve都是干嘛的？
不错的代码！
递归实现的代码部分
14句和18句的 wt[n - 1]是不是应该改为 wt[ n ] ?
刚开始学，非常好
大哥，你复制也看看是不是这题的答案才复制吧。
刚开始学，非常好


RetroProxy
instances.service
interface.value
.annotations
contains an instance of cls
.Request.Priority
on a request.RetroProxy
.Request.Priority
on a request.Response
as is,
i.e.RetroProxy.create(java.lang.Class<T>)
on the resulting RetroProxy
instance, eagerly validate
the configuration of all methods in the supplied interface.RetroProxy.create(java.lang.Class<T>)
on the resulting RetroProxy
instance, eagerly validate
the configuration of all methods in the supplied interface.