蚁群算法

matlab经典算法 数据分析教程及例题(classical algorithm matlab data analysis tutorials and Example)

这是一个NSCT的工具箱，用与图像融合等图像处理MATLAB程序。(nsct_toolbox use in image fusion)

多种方差减小蒙特卡洛法计算期权的程序，程序对学习蒙特卡洛很有帮助！(Various variance reduction Monte C Lofa option calculation procedures, procedures for the Monte Carlo learning very helpful!)

说明：  经典图书Courant, Hilbert - Methods of Mathematical Physics Vol. 1 50年不倒的经典图书，值得一看，是学习数学物理方法的经典名著(Classic books Courant, Hilbert- Methods of Mathematical Physics Vol. 1 50 will not be brought down in the classic books, worth a visit is to study methods of mathematical physics classics)

基于卡尔曼滤波器的PMSM的电阻估计模型(Kalman filter based estimation model for the resistance of PMSM)

ahp的matlab算法实例，可以很轻松的输入matlab计算ahp法中的指标权重，以及一致性指标(Allow phonetic typing Type text or a website address or translate a document. Cancel Ahp de matlab suànfǎ shílì English Spanish Arabic Alpha the ahp the Matlab algorithm instance)

转子系统碰摩，有轴承约束的转子系统碰撞摩擦matlab程序(Rotor system rub-impact, with bearing constraint rotor system collision friction matlab program)

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

《空间谱估计原理与算法》信源数目估计（信息论法）matlab源代码(" Space Spectrum Estimation Principle and Algorithm" Source number estimation (Information Law) matlab source code)

混沌粒子群算法理论文献，比较全面的概括了这一算法(Chaotic particle swarm theory literature, a more comprehensive overview of this algorithm)