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JHSantiagoTexcoco_FletcherReeves-MatLab
Prueba1 FletcherReeves
Hernández Santiago José
Maestría en Ciencias de la Computación
Septiembre / 2011
1. Comenzar con un punto arbitrario
2. Calcular Gradiente de Fi
3. Si el Gradiente Fi es igual a 0(converge), termina
4. Si el Gradiente Fi es !=0 continuar
5. Encontrar dirección de búsqueda
Si= -GradienteFi= - Gradiente F(Xi)
6. Determinar la Longitud Optima del incremento lamda(i) en dirección Si
X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi)
7. Hacer i=2
8. Obtener Gradiente Fi
9. Calcular Si= -GradFi + ( [abs(GradFi)^2]/[abs(GradF(i-1))^2] )*S(i-1)
10. Determinar la Longitud Optima del incremento lamda(i) en dirección Si
X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi)
7. Verificar Optimalidad de X(i+1)
Si es optimo, detener
Si no es optimo hacer i=i+1 e ir al paso 8
- 2013-08-08 14:30:24下载
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CA
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Chap_11
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大家学习交流,觉得有用的自己下载,(西蒙赫gold Adaptive Filtering Theory matlab program book, and now continue to upload procedures of Chapter IV, we study the exchange of their own find useful downloads,)
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EEG信号的形态学滤波处理
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