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www.eeworm.com/read/383163/8965990
changelog
2008.220: version 1.6
- Update libmseed to 2.1.6, including much improved Steim 1
and 2 encoding performance.
2007.284: version 1.5
- Update libmseed to 2.1.4.
- Add blockette 1001s to output dat
www.eeworm.com/read/283196/9036678
readme
Chapter 4 - The UNIX Environment.
args.c - A program that splits command-line options from arguments.
argopt.c - An extended version of args.c that flags up illegal options and that expec
www.eeworm.com/read/185363/9041917
m evaluate_objective.m
function f = evaluate_objective(x, M, V)
%% function f = evaluate_objective(x, M, V)
% Function to evaluate the objective functions for the given input vector
% x. x is an array of decision varia
www.eeworm.com/read/382060/9055651
js 11-2.js
// Here we create an object representing the date of Christmas, 2001.
// The variable xmas contains a reference to the object, not the object itself.
var xmas = new Date(2001, 11, 25);
// When we co
www.eeworm.com/read/184890/9067511
cpp clibtest.cpp
//: C04:CLibTest.cpp
// From Thinking in C++, 2nd Edition
// Available at http://www.BruceEckel.com
// (c) Bruce Eckel 2000
// Copyright notice in Copyright.txt
//{L} CLib
// Test the C-like lib
www.eeworm.com/read/281673/9142081
cpp clibtest.cpp
//: C04:CLibTest.cpp
// From Thinking in C++, 2nd Edition
// Available at http://www.BruceEckel.com
// (c) Bruce Eckel 2000
// Copyright notice in Copyright.txt
//{L} CLib
// Test the C-like lib
www.eeworm.com/read/182374/9205796
m samplebn.m
function[NewPop] = SampleBN(bnet,PopSize)
% Creates the structure of a junction tree where each variable
% depends on its dim previous variables
% INPUTS
% NumbVar: Number of variables
% dim: Numb
www.eeworm.com/read/182374/9205797
m runumda.m
function [Max,k,BestSolutions]=RunUMDA(PopSize,NumbVar,T,F,CantGen,MaximumFunction,Card,Elitism)
% UMDA implementation for discrete values.
% INPUTS
% PopSize: Population size
% Numb
www.eeworm.com/read/182374/9205805
m runfda.m
function [Max,k,BestSolutions]=RunFDA(PopSize,NumbVar,T,F,CantGen,MaximumFunction,Card,Cliques,Elitism)
% FDA implementation for discrete values.
% The structure of the probabilistic model is giv
www.eeworm.com/read/182374/9205820
m runfda.m
function [Max,k,BestSolutions]=RunFDA(PopSize,NumbVar,T,F,CantGen,MaximumFunction,Card,Cliques,Elitism)
% FDA implementation for discrete values.
% The structure of the probabilistic model is giv