dvrthreelevel

这是一个简介sinulink的课件文档，对入门有些帮助。(This is a profile sinulink courseware documents on entry of some help.)

脉动风数值模拟-大跨度桥梁随机风场的模拟的代码(Numerical simulation of pulsating wind)

传算法对BP网络权值阈值进行优化的matlab源代码(matlab code )

光学仿真设计，适用于初学者学习使用matlab进行光学仿真，基于Matlab的光学实验仿真(Optical simulation design, suitable for beginners to learn to use matlab optical simulation, Matlab-based simulation of optical experiments)

neural learn fuzzy PD

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)

最优潮流 基于matlab 经过测试 可以使用(OPF has been tested can be used based on matlab)

POWERTRAIN SYSTEMS ANALYSIS TOOLKIT (PSAT) A Flexible, Reusable Model for Simulating Advanced Vehicles

This demonstration illustrates how to use the adaptive filter algorithms

inverse sinematic of robot.You should upload at least five sourcecode.