代码搜索:optimization

找到约 10,000 项符合「optimization」的源代码

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m alm_7_4_1.m

% % Optimization with MATLAB % copyright Dr. P.Venkataraman % % Chapter 7. Sec 7.2.2 % Augmented Lagrange Multiplier Method % Example 7.2 in Section 7.4.1 % % An Indirect Method for Constrain
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m ex744.m

% Optimization with MATLAB % Dr. P.Venkataraman % Published by John Wiley % % Chapter 7, Section 7.3.3 % Example 7.4 % Optimal Control - Find feasible trajectory % Uses unconstrained minimizer
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m smlfun.m

function [output, Rss, sigma2] = smlfun(theta,Rhat,antenna,lambda) %SMLFUN Calculates the optimization criterion , source correlation matrix and noise power for SML. % %-------- %Synopsis: % [output
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m imperialistcompetitvealgorithm_globaloptimizationstrategy.m

%% Imperialist Competitive Algorithm (CCA); % A Socio Politically Inspired Optimization Strategy. % 2008 % To use this code, you should only prepare your cost function and apply % CCA to it. P
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pas szcrc32.pas

{$O+}// Optimization must be ON Unit SZCRC32; { Version 1.0.0 The contents of this file are subject to the Mozilla Public License Version 1.1 (the "License"); you may not use this file exc
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m feasreal.m

% FEASREAL Generates a random sparse optimization problem with % linear, quadratic and semi-definite constraints. Output % can be used by SEDUMI. All data will be real-valued. % % The follow
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makefile

# # C compiler specification # CC = cc # # C optimization, only one CFLAGS line should be uncommented # The -Xcpluscomm flags is required for the SGI cc compiler to recognize the C++ # style comment
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texi min.texi

@cindex optimization, see minimization @cindex maximization, see minimization @cindex minimization, one-dimensional @cindex finding minima @cindex non-linear functions, minimization This chapter desc
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asm imgprcs2.asm

; IMGPRCS2.ASM ; ; An image processing program (First optimization pass). ; ; This program blurs an eight-bit grayscale image by averaging a pixel ; in the image with the eight pixels around it.
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texi min.texi

@cindex optimization, see minimization @cindex maximization, see minimization @cindex minimization, one-dimensional @cindex finding minima @cindex non-linear functions, minimization This chapter desc