代码搜索:Algorithm
找到约 10,000 项符合「Algorithm」的源代码
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www.eeworm.com/read/392548/2495007
c unimplod.c
/*---------------------------------------------------------------------------
unimplod.c
The Imploding algorithm is actually a combination of two distinct algor-
ithms. The first algorithm co
www.eeworm.com/read/315328/13545843
m rank_one.m
% Program: rank_one.m
% Title: Quasi_Newton Rank-One algorithm
% Description: Implements the quasi-Newton algorithm
% with the rank-one updating formula in Eq. (7.20) as
% described in Algorithm
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c cksum.c
#include
#include "cksum.h"
// Determine whether an addition or subtraction algorithm is used.
#if (_ALGORITHM < 0)
#define _SUM(x,y) x -= y
#define _BYTEOP (_ALGORITHM * -1)
#else
#define
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m haoren.m
%classical high resolution DOA estimation algorithm
%including Bartlett beamforming algorithm;Capon algorithm;Esprit;
%MUSIC; WSF; etc;
clear all; close all;clc;
J=sqrt(-1);
source_number=3;
s
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java sortutil.java
package org.rut.util.algorithm.support;
//import org.rut.util.algorithm.support.MergeSort;
//import org.rut.util.algorithm.support.QuickSort;
/**
* @author treeroot
* @since 2006-2-2
*
www.eeworm.com/read/367969/9721785
m init_kalman.m
function FilterPM=Init_Kalman(Algorithm_PM,G_drift,A_bias)
switch Algorithm_PM.app
case 'Velocity_Attitude_Euler'
switch Algorithm_PM.error
case 'Consider'
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cpp ecc101.cpp
// --------------------------------------------------------------------
// ECDLP solver using Pohlig-Hellman algorithm to reduce problem
// size and Pollard's rho algorithm to solve ECDLP over
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cpp eigamal.cpp
// --------------------------------------------------------------------
// ECDLP solver using Pohlig-Hellman algorithm to reduce problem
// size and Pollard's rho algorithm to solve ECDLP ov
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m genetic.m
function Genetic(StrAimFunc)
% This is simple genetic algorithm(SGA)
% In this function ,it fulfils genetic algorithm
%----------------These can be modified as you like-----------------------
ma
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asv genetic.asv
function Genetic(StrAimFunc)
% This is simple genetic algorithm(SGA)
% In this function ,it fulfils genetic algorithm
%----------------These can be modified as you like-----------------------
ma