-
APF
主要就是实现L_M优化算法,用matlab写的
转成c该很容易的,用来仿真用的,希望大家给出点意见,第一次上传(err)
- 2008-01-18 16:14:03下载
- 积分:1
-
power-electronics-and-systems
电机的matlab利用Simpower system调试,包含40多个例子,可以参考学习(Motor Matlab using Simpower system debugging, contains more than 40 examples, you can refer to learning
)
- 2013-08-30 11:49:28下载
- 积分:1
-
UDRRS
This is a compact code for reliability analysis based on the stochastic response surface method (SRSM) which first uses the univariate dimension reduction (UDR) to decompose the multidimensional performance function into multiple one-dimensional univariate functions and then employes the cubic spine interpolation to approximate the one-dimensional univariate functions.. One mathematical example is solved for demonstration purpose.
- 2013-03-15 10:04:52下载
- 积分:1
-
jiaoliutiaoyaqi
交流调压调速matlab仿真图,电力拖动自动控制系统与matlab仿真中的图形,请参阅书籍(AC variable voltage control matlab simulation diagram, electric drive in the automatic control system simulation matlab graphics, see the books)
- 2012-08-23 08:46:47下载
- 积分:1
-
MINROUTE
在图与网络论中,求最短路径的Dijkstra算法(M-函数)(In figure and network theory, the shortest path Dijkstra algorithm (M-function))
- 2010-08-16 20:13:31下载
- 积分:1
-
lfmethod11
求解偏微分方程,使用LF格式求解程序,具体方程见程序(Solution of partial differential equations, using the LF format solver)
- 2010-11-29 21:19:35下载
- 积分:1
-
branch-and-bound
分支定界法求解TSp问题的分析研究以及matlab实现(Branch and bound method to solve the problem described TSp)
- 2020-12-25 08:39:04下载
- 积分:1
-
reliable-
进行可靠度分析有效方法 画出数据概率分别vu 如 (for reliable method N = FREQDM(Y) bins the elements of Y into 10 equally spaced containers
and returns the frequency of each container.
If Y is a matrix, FREQDM works down the columns.
N = FREQDM(Y,M), where M is a scalar, uses M bins.
)
- 2011-06-20 16:55:40下载
- 积分:1
-
QAM_64
MATLAB coding for 64 QAM is given
- 2011-10-18 17:10:58下载
- 积分:1
-
demomodel
This demo explains the use of the advanced object oriented interface model. The model is the generic object which collects all relevant signals, parameters, options and functions related to an application of the LS-SVM. This interface is depreciated for the casional users because of the implicit nature: the distinction between in- and output vanishes. If one wants to use the full power of LS-SVMlab, one is recommended to go through this demo. The options can be divided in 5 classes, the general LS-SVM options the trainpoint administration, the options of the Conjugate Gradient algorithm the preprocess options and the encoding options. The demo shows how to control the preprocessing and the coding using the appropriate model. It is adviced to check carefully the model s options before starting the calculations.
- 2015-01-18 05:52:05下载
- 积分:1