代码搜索:Generates

找到约 10,000 项符合「Generates」的源代码

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m genbounddatauniform.m

% Generates data for controlled L^p norm example when: % M constant, P constant, N varies, for random dictionaries % drawn from the spherical uniform ensemble. P = 0.5:0.25:1; M = [1024 2048]
www.eeworm.com/read/470720/1446063

c explarg1.c

// Bug: g++ generates an error trying to generate the first foo, when // it should silently fail and go on to the next one. template class A { }; template void foo
www.eeworm.com/read/470693/1458009

c explarg1.c

// Bug: g++ generates an error trying to generate the first foo, when // it should silently fail and go on to the next one. template class A { }; template void foo
www.eeworm.com/read/468170/1492230

js textdate.js

/* * Ext JS Library 0.20 * Copyright(c) 2006-2008, Ext JS, LLC. * licensing@extjs.com * * http://extjs.com/license */ // generates a renderer function to be used for textual date group
www.eeworm.com/read/459110/1573588

java srp6verifiergenerator.java

package org.bouncycastle.crypto.agreement.srp; import java.math.BigInteger; import org.bouncycastle.crypto.Digest; /** * Generates new SRP verifier for user */ public class SRP6VerifierGenerator
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js textdate.js

/* * Ext JS Library 0.20 * Copyright(c) 2006-2008, Ext JS, LLC. * licensing@extjs.com * * http://extjs.com/license */ // generates a renderer function to be used for textual date group
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pl ht-pre.pl

# Script parses trace file and generates another trace file , # It adds the event of BACK_OFF which can be later addded in # the mac file sub usage { print STDERR "usage: $0
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m qmatrix.m

function qmat=qmatrix(q,t,w,tw) %QMATRIX ... create a matrix that applies a forward Q filter % % qmat=qmatrix(q,t,w,tw) % % Generates a matrix which applies a forward q filter. The qmatrix is %
www.eeworm.com/read/251838/4414626

m learn_map.m

seed = 1; rand('state', seed); randn('state', seed); obs_model = 'unique'; % each cell has a unique label (essentially fully observable) %obs_model = 'four'; % each cell generates 4 observation
www.eeworm.com/read/251522/4418911

m learn_map.m

seed = 1; rand('state', seed); randn('state', seed); obs_model = 'unique'; % each cell has a unique label (essentially fully observable) %obs_model = 'four'; % each cell generates 4 observation