pundulum1

用最速下降法求解无约束非线性规划问题,最大奇异值,其梯度列向量(Using the steepest descent method solving unconstrained nonlinear programming problem)

用matlab编写的求解10城市、31城市、70城市的TSP模拟退火算法，供大家学习只用，算法简洁明了，注释全，易理解。(Using matlab to solve 10 cities, 31 cities, 70 cities TSP simulated annealing algorithm, only for them to learn the algorithm concise, notes the whole, easy to understand.)

Comminucation wireless

蚁群算法连续函数优化问题matlab程序(Ant colony algorithm for continuous function optimization problems in MATLAB programming)

mimo系统性能测试的matlab源程序(mimo system performance test matlab source)

闭环迭代学习控制的matlab仿真程序，(Closed loop iterative learning control matlab simulation program,)

说明：  Switched Reluctance Motor

Simulador de orientacion posicion de un brazo robotico de cuatro grados de libertad, en GUI de matlab.

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)

实现背包的最有装载，可以实现背包的最有价值(The realization of the most loaded backpack, the backpack can be the most valuable)