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<?xml version="1.0" encoding="UTF-8"?>
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* Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
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* Copyright (C) 2008 - INRIA
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* This file must be used under the terms of the CeCILL.
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* This source file is licensed as described in the file COPYING, which
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* you should have received as part of this distribution. The terms
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* are also available at
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* http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
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<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:svg="http://www.w3.org/2000/svg" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook" version="5.0-subset Scilab" xml:lang="ja" xml:id="genmarkov">
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<refname>genmarkov</refname>
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再帰的および一時的なクラスを有するランダムなマルコフ行列を生成する
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<synopsis>M=genmarkov(rec,tr)
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M=genmarkov(rec,tr,flag)
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<para>整数行ベクトル (次元は再帰的クラスの数).</para>
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<para>整数 (一時的な状態量の数)</para>
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文字列 <literal>'perm'</literal>. 指定した場合,
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それぞれ<literal>rec(1),...rec($)</literal>個のエントリを有する
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<literal>size(rec,1)</literal>個の再帰的なクラスとtr個の一時的な状態量を有する
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ランダムなマルコフ推移確率行列をMに返します.
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<programlisting role="example"><![CDATA[
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//P has two recurrent classes (with 2 and 1 states) 2 transient states
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P=genmarkov([2,1],2,'perm')
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[perm,rec,tr,indsRec,indsT]=classmarkov(P);
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<refsection role="see also">
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<simplelist type="inline">
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<link linkend="classmarkov">classmarkov</link>
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<link linkend="eigenmarkov">eigenmarkov</link>