代码搜索：optimization
找到约 10,000 项符合「optimization」的源代码
代码结果 10,000
www.eeworm.com/read/13871/284570
m contents.m
% Netlab Toolbox
% Version 3.3.1 18-Jun-2004
%
% conffig - Display a confusion matrix.
% confmat - Compute a confusion matrix.
% conjgrad - Conjugate gradients optimization.
% consist
www.eeworm.com/read/42031/1148052
js projecta.js
/* Producer-generated file */
//Generated settings file for Microsoft Producer project.
var g_nDuration = 1045.666667;
var g_szLoadingDesc = "The design and optimization of a micostrip branchline
www.eeworm.com/read/482889/1285395
hpp x86_fast_rounding_control.hpp
/* Boost interval/detail/x86gcc_rounding_control.hpp file
*
* This header provides a rounding control policy
* that avoids flushing results to memory. In
* order for this optimization to be re
www.eeworm.com/read/470720/1452021
c sparc-constant-1.c
/* PR optimization/10876 */
/* { dg-do compile { target sparc*-*-* } } */
/* Verify that adding the constant 4096 is turned
into substracting the constant -4096. */
int foo(int a)
{
return a+40
www.eeworm.com/read/470693/1463967
c sparc-constant-1.c
/* PR optimization/10876 */
/* { dg-do compile { target sparc*-*-* } } */
/* Verify that adding the constant 4096 is turned
into substracting the constant -4096. */
int foo(int a)
{
return a+40
www.eeworm.com/read/459172/1573017
c mpegvideo_mmi.c
/*
* Copyright (c) 2000,2001 Fabrice Bellard.
*
* MMI optimization by Leon van Stuivenberg
*
* This file is part of FFmpeg.
*
* FFmpeg is free software; you can redistribute it and/or
* modify
www.eeworm.com/read/457216/1599677
m ml_covariance_est.m
% Section 7.1.1: Covariance estimation for Gaussian variables
% Boyd & Vandenberghe "Convex Optimization"
% Joëlle Skaf - 04/24/08
%
% Suppose y \in\reals^n is a Gaussian random variable with zero
www.eeworm.com/read/457216/1599686
m ex_4_3.m
% Exercise 4.3: Solve a simple QP with inequality constraints
% From Boyd & Vandenberghe, "Convex Optimization"
% Jo雔le Skaf - 09/26/05
%
% Solves the following QP with inequality constraints:
%
www.eeworm.com/read/457216/1599688
m logopt_investment.m
% Exercise 4.60: Log-optimal investment strategy
% Boyd & Vandenberghe "Convex Optimization"
% Joëlle Skaf - 04/24/08
% (a figure is generated)
%
% The investment strategy x that maximizes the lon
www.eeworm.com/read/457216/1599696
m fig6_6.m
% Example 6.3: Optimal input design
% Section 6.3.2, Figure 6.6
% Boyd & Vandenberghe "Convex Optimization"
% Original by Lieven Vandenberghe
% Adapted for CVX by Joelle Skaf - 09/26/05
%
% Consider a