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📄 standardtopologymodelercreator.java

📁 马尔科夫模型的c语言实现
💻 JAVA
📖 第 1 页 / 共 5 页
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	modelmaker.setTransition("hu11", "hd12");	modelmaker.setTransition("hu11", "l_u");	modelmaker.setTransition("hu11", "g");	modelmaker.setTransition("hu11", "e");	modelmaker.initializeTransitionProbabilities("hu11");	modelmaker.setTransition("hu12", "hu_loop");	modelmaker.setTransition("hu12", "hd_loop");	modelmaker.setTransition("hu12", "l_u");	modelmaker.setTransition("hu12", "g");	modelmaker.setTransition("hu12", "e");	modelmaker.initializeTransitionProbabilities("hu12");		modelmaker.setTransition("hu_loop", "hd_loop");	modelmaker.setTransition("hu_loop", "l_u");	modelmaker.setTransition("hu_loop", "g");	modelmaker.setTransition("hu_loop", "e");	m1 = modelmaker.getModule("hu_loop");	l = m1.getVertices();	v = ((Vertex)l.get(0));	v.setTransitionProbability(v.getNumber(), ((double)(HU_LOOP - 1))/(double)(HU_LOOP));	modelmaker.initializeTransitionProbabilities("hu_loop");	modelmaker.setTransition("hd1", "hd2");	modelmaker.setTransition("hd1", "hu2");	modelmaker.setTransition("hd1", "e");	modelmaker.initializeTransitionProbabilities("hd1");	modelmaker.setTransition("hd2", "hd3");	modelmaker.setTransition("hd2", "hu3");	modelmaker.setTransition("hd2", "e");	modelmaker.initializeTransitionProbabilities("hd2");	modelmaker.setTransition("hd3", "hd4");	modelmaker.setTransition("hd3", "hu4");	modelmaker.setTransition("hd3", "e");	modelmaker.initializeTransitionProbabilities("hd3");	modelmaker.setTransition("hd4", "hd5");	modelmaker.setTransition("hd4", "hu5");	modelmaker.setTransition("hd4", "l_u");	modelmaker.setTransition("hd4", "g");	modelmaker.setTransition("hd4", "e");	modelmaker.initializeTransitionProbabilities("hd4");		modelmaker.setTransition("hd5", "hd6");	modelmaker.setTransition("hd5", "hu6");	modelmaker.setTransition("hd5", "l_u");	modelmaker.setTransition("hd5", "g");	modelmaker.setTransition("hd5", "e");	modelmaker.initializeTransitionProbabilities("hd5");	modelmaker.setTransition("hd6", "hd7");	modelmaker.setTransition("hd6", "hu7");	modelmaker.setTransition("hd6", "l_u");	modelmaker.setTransition("hd6", "g");	modelmaker.setTransition("hd6", "e");	modelmaker.initializeTransitionProbabilities("hd6");		modelmaker.setTransition("hd7", "hd8");	modelmaker.setTransition("hd7", "hu8");	modelmaker.setTransition("hd7", "l_u");	modelmaker.setTransition("hd7", "g");	modelmaker.setTransition("hd7", "e");	modelmaker.initializeTransitionProbabilities("hd7");	modelmaker.setTransition("hd8", "hd9");	modelmaker.setTransition("hd8", "hu9");	modelmaker.setTransition("hd8", "l_u");	modelmaker.setTransition("hd8", "g");	modelmaker.setTransition("hd8", "e");	modelmaker.initializeTransitionProbabilities("hd8");	modelmaker.setTransition("hd9", "hd10");	modelmaker.setTransition("hd9", "hu10");	modelmaker.setTransition("hd9", "l_u");	modelmaker.setTransition("hd9", "g");	modelmaker.setTransition("hd9", "e");	modelmaker.initializeTransitionProbabilities("hd9");	modelmaker.setTransition("hd10", "hd11");	modelmaker.setTransition("hd10", "hu11");	modelmaker.setTransition("hd10", "l_u");	modelmaker.setTransition("hd10", "g");	modelmaker.setTransition("hd10", "e");	modelmaker.initializeTransitionProbabilities("hd10");	modelmaker.setTransition("hd11", "hd12");	modelmaker.setTransition("hd11", "hu12");	modelmaker.setTransition("hd11", "l_u");	modelmaker.setTransition("hd11", "g");	modelmaker.setTransition("hd11", "e");	modelmaker.initializeTransitionProbabilities("hd11");	modelmaker.setTransition("hd12", "hd_loop");	modelmaker.setTransition("hd12", "hu_loop");	modelmaker.setTransition("hd12", "l_u");	modelmaker.setTransition("hd12", "g");	modelmaker.setTransition("hd12", "e");	modelmaker.initializeTransitionProbabilities("hd12");		modelmaker.setTransition("hd_loop", "hu_loop");	modelmaker.setTransition("hd_loop", "l_u");	modelmaker.setTransition("hd_loop", "g");	modelmaker.setTransition("hd_loop", "e");	m1 = modelmaker.getModule("hd_loop");	l = m1.getVertices();	v = ((Vertex)l.get(0));	v.setTransitionProbability(v.getNumber(), ((double)(HD_LOOP - 1))/(double)(HD_LOOP));	modelmaker.initializeTransitionProbabilities("hd_loop");	/* outside loop */	modelmaker.setTransition("L_u", "L_bott_u");	modelmaker.setTransition("L_u", "ihelixo1");	modelmaker.setTransition("L_u", "L_d");	modelmaker.setTransition("L_u", "R1");	modelmaker.setTransition("L_u", "Hu1");	modelmaker.setTransition("L_u", "Hd1");	modelmaker.setTransition("L_u", "e");	modelmaker.initializeTransitionProbabilities("L_u");	modelmaker.setTransition("L_bott_u", "L_bott_d");	modelmaker.setTransition("L_bott_u", "L_d");	modelmaker.setTransition("L_bott_u", "L11u");	modelmaker.setTransition("L_bott_u", "L21u");	modelmaker.setTransition("L_bott_u", "L31u");	modelmaker.setTransition("L_bott_u", "L41u");	modelmaker.setTransition("L_bott_u", "L51u");	modelmaker.setTransition("L_bott_u", "R1");	modelmaker.setTransition("L_bott_u", "Hu1");	modelmaker.setTransition("L_bott_u", "Hd1");	modelmaker.setTransition("L_bott_u", "e");	modelmaker.initializeTransitionProbabilities("L_bott_u");	modelmaker.setTransition("L11u", "L_top_u");	modelmaker.setTransition("L11u", "L11d");	modelmaker.setTransition("L11u", "L_bott_d");	modelmaker.setTransition("L11u", "R1");	modelmaker.setTransition("L11u", "Hu1");	modelmaker.setTransition("L11u", "Hd1");	modelmaker.setTransition("L11u", "e");	modelmaker.initializeTransitionProbabilities("L11u");	modelmaker.setTransition("L21u", "L22u");	modelmaker.setTransition("L21u", "e");	modelmaker.initializeTransitionProbabilities("L21u");	modelmaker.setTransition("L22u", "L_top_u");	modelmaker.setTransition("L22u", "e");	modelmaker.initializeTransitionProbabilities("L22u");	modelmaker.setTransition("L31u", "L32u");	modelmaker.setTransition("L31u", "e");	modelmaker.initializeTransitionProbabilities("L31u");	modelmaker.setTransition("L32u", "L33u");	modelmaker.setTransition("L32u", "e");	modelmaker.initializeTransitionProbabilities("L32u");	modelmaker.setTransition("L33u", "L_top_u");	modelmaker.setTransition("L33u", "e");	modelmaker.initializeTransitionProbabilities("L33u");		modelmaker.setTransition("L41u", "L42u");	modelmaker.setTransition("L41u", "e");	modelmaker.initializeTransitionProbabilities("L41u");	modelmaker.setTransition("L42u", "L43u");	modelmaker.setTransition("L42u", "e");	modelmaker.initializeTransitionProbabilities("L42u");	modelmaker.setTransition("L43u", "L44u");	modelmaker.setTransition("L43u", "e");	modelmaker.initializeTransitionProbabilities("L43u");	modelmaker.setTransition("L44u", "L_top_u");	modelmaker.setTransition("L44u", "e");	modelmaker.initializeTransitionProbabilities("L44u");	modelmaker.setTransition("L51u", "L52u");	modelmaker.setTransition("L51u", "e");	modelmaker.initializeTransitionProbabilities("L51u");	modelmaker.setTransition("L52u", "L53u");	modelmaker.setTransition("L52u", "e");	modelmaker.initializeTransitionProbabilities("L52u");	modelmaker.setTransition("L53u", "L54u");	modelmaker.setTransition("L53u", "e");	modelmaker.initializeTransitionProbabilities("L53u");	modelmaker.setTransition("L54u", "L55u");	modelmaker.setTransition("L54u", "e");	modelmaker.initializeTransitionProbabilities("L54u");	modelmaker.setTransition("L55u", "L_top_u");	modelmaker.setTransition("L55u", "e");	modelmaker.initializeTransitionProbabilities("L55u");	modelmaker.setTransition("L_top_u", "G");	modelmaker.setTransition("L_top_u", "L_top_d");	modelmaker.setTransition("L_top_u", "L11d");	modelmaker.setTransition("L_top_u", "e");	modelmaker.initializeTransitionProbabilities("L_top_u");	modelmaker.setTransition("G", "L_top_d");	modelmaker.setTransition("G", "Hu1");	modelmaker.setTransition("G", "Hd1");	modelmaker.setTransition("G", "e");	m1 = modelmaker.getModule("G");	l = m1.getVertices();	v = ((Vertex)l.get(0));	v.setTransitionProbability(v.getNumber(), ((double)(lengthI - 1))/(double)(lengthI));	modelmaker.initializeTransitionProbabilities("G");		modelmaker.setTransition("L_top_d", "L11d");	modelmaker.setTransition("L_top_d", "L21d");	modelmaker.setTransition("L_top_d", "L31d");	modelmaker.setTransition("L_top_d", "L41d");	modelmaker.setTransition("L_top_d", "L51d");	modelmaker.setTransition("L_top_d", "e");	modelmaker.initializeTransitionProbabilities("L_top_d");	modelmaker.setTransition("L11d", "L_bott_d");	modelmaker.setTransition("L11d", "e");	modelmaker.initializeTransitionProbabilities("L11d");	modelmaker.setTransition("L21d", "L22d");	modelmaker.setTransition("L21d", "e");	modelmaker.initializeTransitionProbabilities("L21d");	modelmaker.setTransition("L22d", "L_bott_d");	modelmaker.setTransition("L22d", "e");	modelmaker.initializeTransitionProbabilities("L22d");	modelmaker.setTransition("L31d", "L32d");	modelmaker.setTransition("L31d", "e");	modelmaker.initializeTransitionProbabilities("L31d");	modelmaker.setTransition("L32d", "L33d");	modelmaker.setTransition("L32d", "e");	modelmaker.initializeTransitionProbabilities("L32d");	modelmaker.setTransition("L33d", "L_bott_d");	modelmaker.setTransition("L33d", "e");	modelmaker.initializeTransitionProbabilities("L33d");		modelmaker.setTransition("L41d", "L42d");	modelmaker.setTransition("L41d", "e");	modelmaker.initializeTransitionProbabilities("L41d");	modelmaker.setTransition("L42d", "L43d");	modelmaker.setTransition("L42d", "e");	modelmaker.initializeTransitionProbabilities("L42d");	modelmaker.setTransition("L43d", "L44d");	modelmaker.setTransition("L43d", "e");	modelmaker.initializeTransitionProbabilities("L43d");	modelmaker.setTransition("L44d", "L_bott_d");	modelmaker.setTransition("L44d", "e");	modelmaker.initializeTransitionProbabilities("L44d");	modelmaker.setTransition("L51d", "L52d");	modelmaker.setTransition("L51d", "e");	modelmaker.initializeTransitionProbabilities("L51d");	modelmaker.setTransition("L52d", "L53d");	modelmaker.setTransition("L52d", "e");	modelmaker.initializeTransitionProbabilities("L52d");	modelmaker.setTransition("L53d", "L54d");	modelmaker.setTransition("L53d", "e");	modelmaker.initializeTransitionProbabilities("L53d");	modelmaker.setTransition("L54d", "L55d");	modelmaker.setTransition("L54d", "e");	modelmaker.initializeTransitionProbabilities("L54d");	modelmaker.setTransition("L55d", "L_bott_d");	modelmaker.setTransition("L55d", "e");	modelmaker.initializeTransitionProbabilities("L55d");	modelmaker.setTransition("L_bott_d", "L_d");	modelmaker.setTransition("L_bott_d", "L_u");	modelmaker.setTransition("L_bott_d", "e");	modelmaker.initializeTransitionProbabilities("L_bott_d");	modelmaker.setTransition("L_d", "C");	modelmaker.setTransition("L_d", "ihelixo1");	modelmaker.setTransition("L_d", "e");	modelmaker.initializeTransitionProbabilities("L_d");	modelmaker.setTransition("C", "C_loop");	modelmaker.setTransition("C", "L_u");	modelmaker.setTransition("C", "e");	modelmaker.initializeTransitionProbabilities("C");	modelmaker.setTransition("C_loop", "L_u");	modelmaker.setTransition("C_loop", "e");	m1 = modelmaker.getModule("C_loop");	l = m1.getVertices();	v = ((Vertex)l.get(0));	v.setTransitionProbability(v.getNumber(), ((double)(C_LOOP - 1))/(double)(C_LOOP));	modelmaker.initializeTransitionProbabilities("C_loop");		/* inside reentrant */	modelmaker.setTransition("R1", "R2");	modelmaker.setTransition("R1", "e");	modelmaker.initializeTransitionProbabilities("R1");	modelmaker.setTransition("R2", "R3");	modelmaker.setTransition("R2", "e");	modelmaker.initializeTransitionProbabilities("R2");	modelmaker.setTransition("R3", "R4");	modelmaker.setTransition("R3", "e");	modelmaker.initializeTransitionProbabilities("R3");	modelmaker.setTransition("R4", "R5");	modelmaker.setTransition("R4", "R11");	modelmaker.setTransition("R4", "e");	modelmaker.initializeTransitionProbabilities("R4");		modelmaker.setTransition("R5", "R6");	modelmaker.setTransition("R5", "R10");	modelmaker.setTransition("R5", "R11");	modelmaker.setTransition("R5", "e");	modelmaker.initializeTransitionProbabilities("R5");	modelmaker.setTransition("R6", "R7");	modelmaker.setTransition("R6", "R9");	modelmaker.setTransition("R6", "R10");

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