-
code_fuzzy_control
matlab开发的一个简单实用的模糊控制算法代码(一个简单实用的模糊控制算法代码)
- 2010-01-14 22:40:49下载
- 积分：1
-
LSB_test
在bmp图像中隐藏另一图像，希望对大家有用！(bmp image in another hidden images, useful for all!)
- 2006-06-02 16:54:29下载
- 积分：1
-
Mathworks-Matlab
科学计算与MATLAB语言,很不错的介绍matlab的书籍(Scientific Computing with MATLAB language, a very good introduction matlab books)
- 2013-10-24 23:19:16下载
- 积分：1
-
目标定位
说明： 研究目标跟踪的状态估计方法，最小二乘估计，Kalman滤波，扩展Kalman滤波，无迹Kalman滤波以及粒子滤波等，理论及MATLAB源程序。(The state estimation methods of target tracking, least square estimation, Kalman filtering, extended Kalman filtering, unscented Kalman filtering and particle filtering, theory and MATLAB source program are studied.)
- 2021-03-25 09:49:13下载
- 积分：1
-
kmeans
K means code for k means algorithm
- 2013-08-05 12:44:42下载
- 积分：1
-
FIR
MATLAB implementation of FIR filter
- 2014-10-27 16:59:22下载
- 积分：1
-
ekffffff4
说明： 实现组合导航仿真，扩展卡尔曼滤波算法，比较简洁(Realization of Integrated Navigation Simulation)
- 2019-04-21 23:28:19下载
- 积分：1
-
Unconstrained_optimization
说明： 压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数(Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function)
- 2008-12-06 22:12:43下载
- 积分：1
-
logistics
logistics分岔图和其迭代过程中的迭代值的分布图(To draw the logistics iterative process map, can see the visual and iterative convergence.)
- 2015-01-25 19:06:16下载
- 积分：1
-
MonteCarlo
使用直接模拟蒙特卡罗法的Matlab编程，里面三个算例，如湖面积、资产路径等的概率求解法～(Vincent Leclercq, The MathWorks, 2007
vincent.leclercq@mathworks.fr
Ths is the set of files (with the powerpoint presentation, in french or in english) used for the Webinar "Simulation de Monte Carlo en MATLAB".
- The first demo (LakeArea, run MainLakeArea) is computing the size of a polyogon using a MC approach
- The second demo (PortSim, run WebinarScript) can do 2 things: First, we genrate some equity paths, to verify the lognormality If changing the mode to OptionPricing (uncomment one of the first line),
then those spaths will be used for pricing an asian option
- the 3rd Demo,in myMC (run MonteCarlo.m) , show how to simulate some corelated asset paths
- The 4th demo, (run VanillaPricingUsingDifferentMethods.m in the VarReduction folder) , wil compare th results obtrtain byt differents reduction of Variance technics or "quasi" 礛ont Carlo simultion using Hamlton and sobol Sequences)
- 2010-01-12 21:32:32下载
- 积分：1
|
联系客服（QQ：3324461878）
