genePV

active shunt filter for power distributed systems

苏金明的matlab 工具箱及应用。非常不错(Su Jinming matlab toolbox and application. Very good)

利用wolfe算法，编写了wolfe程序模块。测试数据引用《最优化方法及其Matlab程序设计》(马昌凤编)的Armijo准则搜索例题(Use wolfe algorithm, written wolfe program modules. Test data reference " optimization methods and Matlab programming" (Ma Changfeng ed.) The search criteria examples Armijo)

说明：  matlab遗传算法的程序，希望能够对大家有用处！(Matlab GA procedures, we hope to be able to be useful!)

用于计算多体系统动力学的程序,可用于多体系统动力学的计算和仿镇,也可用于机器人的设计和计算(used in the calculation of multi-body system dynamics procedure can be used for multi-body system dynamics calculations and imitate town, Robots can also be used for the design and calculation)

Attend System it s on online attend system used to maintain attendence.

功能描述： 小数延迟FIR滤波器，对参考阵元信号signal_ref进行 length(tau) M次延迟，分别得到M个阵元的采样信号 关键问题： 若τ 1.2Ts,则Delay(i) 2,tau_valid(i) 0.2Ts 若τ 0.6Ts,则Delay(i) 1，tau_valid(i) -0.4Ts 当tau_valid(i)>0或<0时，从卷积后的数据y_FIR_delay中取值启示位置不同 函数能够实现输入任意延时tau，输出信号波形与理想波形之间误差很小。( Description: fractional delay FIR filter array element of a reference signal signal_ref performed length (tau) M delay times, respectively, to obtain a sample signal array element M key question: if τ 1.2Ts, then Delay (i ) 2, tau_valid (i) 0.2Ts if τ 0.6Ts, then Delay (i) 1, tau_valid (i) - 0.4Ts when tau_valid (i)> 0 or < 0, the volume data y_FIR_delay product after the Enlightenment values at different positions function can be realized enter any delay error between tau, the output signal waveform and the ideal waveform is small.)

The Open Porous Medium (OPM) consortium provides industry-compatible open-source finite-element flow simulation code with robust

拉普拉斯特征映射,最大差异展开，时频域特征(Laplacian Eigenmap Maximum difference expansion Fast Maximum difference expansion ISOMAP)

有N件物品和一个容量为V的背包。第i件物品的费用是c，价值是w。求解将哪些物品装入背包可使这些物品的费用总和不超过背包容量，且价值总和最大。(There are N items and a knapsack capacity of V' s. No. i is the cost of items c, the value of w. Solving items into the backpack which will enable the cost of these items does not exceed the sum of the capacity of backpack, and the sum of the maximum value.)