代码搜索：evaluate
找到约 3,619 项符合「evaluate」的源代码
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www.eeworm.com/read/414697/11105941
m enorm_constr.m
function [f,g]=enorm_constr(e,Xin,y,Mp,w,ps,ms,qs,order,input_delay,pds,qds)
% Complementary sensitivity function for the MIMO system
% Xwc_ub_w Xwc_lb_w are the upper and lower bound tables
% with
www.eeworm.com/read/366065/9834721
3 recevalobj.3
'\"
'\" Copyright (c) 1997 Sun Microsystems, Inc.
'\"
'\" See the file "license.terms" for information on usage and redistribution
'\" of this file, and for a DISCLAIMER OF ALL WARRANTIES.
'\"
'\" RC
www.eeworm.com/read/365862/9843066
m kernel_distance_bayes.m
function D = kernel_distance_bayes(g1, g2)
%
% Evidence of hypothesis, or Bayes normaliser, or probability of observation p(z|Z)
dim = size(g1.x, 1);
S = g1.P + g2.P;
Sc = chol(S)';
denom =
www.eeworm.com/read/351998/10589098
m kernel_distance_bayes.m
function D = kernel_distance_bayes(g1, g2)
%
% Evidence of hypothesis, or Bayes normaliser, or probability of observation p(z|Z)
dim = size(g1.x, 1);
S = g1.P + g2.P;
Sc = chol(S)';
denom =
www.eeworm.com/read/261064/11667851
f fnewt.f
subroutine fnewt( x, a, Nm, f, D)
integer*4 Nm
real*8 x(Nm), a(Nm), f(Nm), D(Nm,Nm)
! Function used by the N-variable Newton's method
! Inputs
! x State vector [x y z]
www.eeworm.com/read/251851/12315047
m eval_strong_negate.m
function f = eval_strong_negate(node)
% STRONG_NEGATE Evaluate strong negation
%
% Example
%
global GLOBAL_AP
symbol = node.symbol;
production = node.production;
value = node.value;
s
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m contents.m
% Optimization functions library -- J.P. LeSage
%
%
% banana : Banana function for testing optimization
% banana_d : Demonstrate optimization functions
% dfp_min : DFP m
www.eeworm.com/read/438782/7727069
cpp sample.cpp
#include
#include
class objective_function
{
protected:
lbfgsfloatval_t *m_x;
public:
objective_function() : m_x(NULL)
{
}
virtual ~objective_function()
www.eeworm.com/read/142434/12945728
m fnewt.m
function [f,D] = fnewt(x,a)
% Function used by the N-variable Newton's method
% Inputs
% x State vector [x y z]
% a Parameters [r sigma b]
% Outputs
% f Lorenz model r.h.
www.eeworm.com/read/142433/12945843
cpp fnewt.cpp
#include "NumMeth.h"
void fnewt(Matrix x, Matrix a, Matrix& f, Matrix& D) {
// Function used by the N-variable Newton's method
// Inputs
// x State vector [x y z]
// a Parameters [r