代码搜索:Algorithm

找到约 10,000 项符合「Algorithm」的源代码

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m ganders2.m

function [alpha,theta,solution,minr,t,maxerr]=... ganders2(MI,SG,J,tmax,stopCond,t,alpha,theta) % GANDERS2 algorithm solving Generalized Anderson's task. % [alpha,theta,solution,minr,t,maxerr]=...
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m fisherp.m

function [alphas,solution,t]=fisherp(X,J,K,tmax,t,alphas) % FISHERP learns the Fisher classifier using Perceptron rule. % [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas) % % FISHERP This algorithm f
www.eeworm.com/read/276954/10692009

tex kmlocal-doc.tex

%---------------------------------------------------------------------- % File: kmlocal-doc.tex % By: David Mount % Last modified: 08/10/05 % Description: User manual for KMlocal %-------------
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txt readme.txt

This program is the famous banker algorithm. Building: VS 2005
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m contents.m

% Classification GUI and toolbox % Version 1.0 % % GUI start commands % % classifier - Start the classification GUI % enter_distributions - Starts the parameter input screen (used by classif
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txt 445.txt

Rule: -- Sid: 445 -- Summary: This event is generated when an ICMP "SKIP" message is generated. -- Impact: Informational. This indicates that an error condition was encountered when requesting the
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txt note.txt

the algorithm in "ex.dpr" and algorithm "ex2.dpr" is identic ,i.e. time complexities are both O(N). The memory complexity of "ex.dpr" is O(N), but that of "ex2.dpr" is O(1). D[i] in "ex.dpr" is the
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m contents.m

% Genetic Optimization Toolbox % % Main interface % gaopt.m The Genetic Algorithm % initializega.m Initialization function for float and binary % repres
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m contents.m

% Genetic Optimization Toolbox % % Main interface % ga.m The Genetic Algorithm % initializega.m Initialization function for float and binary % repres
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m contents.m

% Genetic Optimization Toolbox % % Main interface % ga.m The Genetic Algorithm % initializega.m Initialization function for float and binary % repres