代码搜索：Objective
找到约 3,719 项符合「Objective」的源代码
代码结果 3,719
www.eeworm.com/read/442927/7641770
m stepkm2.m
function [center_index, obj_fcn, U] = stepkm(center_index, distmat)
%STEPKM One step in k-means clustering.
% [CENTER, ERR] = STEPKM(CENTER, DATA)
% performs one iteration of k-means clustering, wh
www.eeworm.com/read/245644/12786241
res lp.res
Value of objective function: 2701.53
A0000010 0
A0000012 0
A0000014 0
A0000015 100
A0000017 24.8275
A0000018 100
A0000020
www.eeworm.com/read/480701/6660031
c implicit.c
/*
This program is originally made by by Jeroen J. Dirks (jeroend@tor.numetrix.com)
Adapted by Peter Notebaert (lpsolve@peno.be)
*/
#include
#include "lp_lib.h"
extern int EndOfPgr(int
www.eeworm.com/read/400232/11580296
m non_domination_sort_mod.m
%% Non-Donimation Sort
% This function sort the current popultion based on non-domination. All the
% individuals in the first front are given a rank of 1, the second front
% individuals are assigne
www.eeworm.com/read/251851/12315134
m stretch_func_ode_equal.m
function [f,g] = ...
stretch_func_ode_equal(X,sys_eq,ode_param,n_vector,C_matrix,d_vector,t0,tf)
% Compute objective function for the optimization problem in the flow pipe
% segment approxima
www.eeworm.com/read/227962/14405195
m non_domination_sort_mod.m
%% Non-Donimation Sort
% This function sort the current popultion based on non-domination. All the
% individuals in the first front are given a rank of 1, the second front
% individuals are assigne
www.eeworm.com/read/217557/14958688
m stretch_func_ode_equal.m
function [f,g] = ...
stretch_func_ode_equal(X,sys_eq,ode_param,n_vector,C_matrix,d_vector,t0,tf)
% Compute objective function for the optimization problem in the flow pipe
% segment approxima
www.eeworm.com/read/159715/5581886
h capture-cli.h
/**
* @file rtems/capture-cli.h
*/
/*
------------------------------------------------------------------------
$Id: capture-cli.h,v 1.3 2004/12/02 18:20:50 ralf Exp $
------------------------
www.eeworm.com/read/267760/11163977
m example4.m
f = [143 60];
A = [120 210; 110 30; 1 1];
b = [15000; 4000; 75];
lp = lp_maker(f, A, b, [-1; -1; -1], [], [], [], 1, 0);
solvestat = mxlpsolve('solve', lp)
format bank
obj = mxlpsolve('get_objec
www.eeworm.com/read/248202/12589794
m nmf.m
% Non-negative matrix factorization...
function [W, H, obj, num_iter] = nmf(V, W_in, H_in, max_iter, lambda)
fprintf('Starting NMF algorithm...\n');
W = W_in;
H = H_in;
n = size(W