代码搜索:evaluate

找到约 3,619 项符合「evaluate」的源代码

代码结果 3,619
www.eeworm.com/read/364264/9916950

m evaluate_tree.m

function ret=evalutate_tree(tree,X) %EVALUATE_TREE Alternative to using 'eval' in 'regfitness' in GPLAB. % EVALUATE_TREE(TREE,X) evaluates a GPLAB tree when the "nesting 32" % error is issue
www.eeworm.com/read/360340/10101842

m evaluate_objective.m

function f = evaluate_objective(x,problem) % Function to evaluate the objective functions for the given input vector % x. x has the decision variables switch problem case 1 f = []
www.eeworm.com/read/161803/10372746

h evaluate_move.h

/* evaluate_move.c ** ** evaluate moves for dfferent gametypes ** Copyright (C) 2001 Florian Berger ** Email: harpin_floh@yahoo.de, florian.berger@jk.uni-linz.ac.at ** ** This program is
www.eeworm.com/read/161803/10372797

c evaluate_move.c

/* evaluate_move.c ** ** evaluate moves for dfferent gametypes ** Copyright (C) 2001 Florian Berger ** Email: harpin_floh@yahoo.de, florian.berger@jk.uni-linz.ac.at ** ** This program is
www.eeworm.com/read/423565/10547310

m nco_evaluate.m

%================================================================ % nco_evaluate.m is a program that evaluate rom sin output using FFT % Copyright :blutea 2004_10_20 % vionsion: 1.0 %==========
www.eeworm.com/read/351998/10588998

m gmm_evaluate.m

function w = gmm_evaluate(g,x) % % assumes weights are not log-likelihood % TODO: implement the fast gauss transform (FGT) N = size(x, 2); w = zeros(1, N); for i=1:size(g.x, 2) dx = x -
www.eeworm.com/read/351998/10589075

m kernel_evaluate.m

function w = kernel_evaluate(g,x) % % assumes weights are not log-likelihood N = size(x, 2); w = zeros(1, N); for i=1:size(g.x, 2) dx = x - repcol(g.x(:,i), N); w = w + g.w(i)*gaus
www.eeworm.com/read/466832/7021291

m evaluate_objective.m

function f = evaluate_objective(x,problem) % Function to evaluate the objective functions for the given input vector % x. x has the decision variables switch problem case 1 f = [];
www.eeworm.com/read/462764/7196479

m evaluate_objective.m

function f = evaluate_objective(x,problem) % Function to evaluate the objective functions for the given input vector % x. x has the decision variables switch problem case 1 f = []