代码搜索:optimize

找到约 6,026 项符合「optimize」的源代码

代码结果 6,026
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m bay_optimize.m

function [model,A,B,C,D] = bay_optimize(model,level, type, nb, bay) % Optimize the posterior probabilities of model (hyper-) parameters with respect to the different levels in Bayesian inference % %
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m bay_optimize.m

function [model,A,B,C,D] = bay_optimize(model,level, type, nb, bay) % Optimize the posterior probabilities of model (hyper-) parameters with respect to the different levels in Bayesian inference % %
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m bay_optimize.m

function [model,A,B,C,D] = bay_optimize(model,level, type, nb, bay) % Optimize the posterior probabilities of model (hyper-) parameters with respect to the different levels in Bayesian inference % %
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m bay_optimize.m

function [model,A,B,C,D] = bay_optimize(model,level, type, nb, bay) % Optimize the posterior probabilities of model (hyper-) parameters with respect to the different levels in Bayesian inference % %
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m bay_optimize.m

function [model,A,B,C,D] = bay_optimize(model,level, type, nb, bay) % Optimize the posterior probabilities of model (hyper-) parameters with respect to the different levels in Bayesian inference % %
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cpp optimize1.cpp

#include "mathclass.h" #define GOLD 1.61803398874989484820 #define GLIMIT 100.0 #define TINY 1.0e-20 #define ITMAX 100 #define CGOLD 0.3819660 #define ZEPS 1.0e-10 void error( char* msg ) { cerr
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cpp optimize2.cpp

#include "mathclass.h" #define TOL 2.0e-4 int ncom; m_real (*nrfunc) (vectorN const&); static vectorN pcom, xicom; m_real f1dim(m_real x) { static vectorN xt; xt.setSize(ncom); for (int j=0;
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pro correl_optimize.pro

pro correl_optimize, image_A, image_B, xoffset_optimum, yoffset_optimum, $ XOFF_INIT = xoff_init, $ YOFF_INIT = yoff_init, $ PRINT=print, MONITOR=monitor, $ NUMPIX=numpix, MAGN
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afl macd optimize.afl

//------------------------------------------------------------------------------ // // Formula Name: MACD optimize // Author/Uploader: Grayesso // E-mail: grayesso@rambler.ru //
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afl stochastic optimize.afl

//------------------------------------------------------------------------------ // // Formula Name: Stochastic optimize // Author/Uploader: Grayesso // E-mail: grayesso@rambler.ru