FLAC3D5.0-2-Tecplot

实现航迹跟踪 得出仿真曲线 不会搭框图的可以学习下 一起学习(Realize track tracking to get simulation curve Can not take a block diagram can learn together Learn together)

Delphi 2005 ADO 连接演示-connecting demo

jQuery计算器带操作记录基于min.js制作，绿色风格，带计算记录结果。(JQuery calculator with operation record is based on min. js, green style, with calculation record results.)

说明：  ads1115历程以及最小系统 基于msp430(Course and schematic diagram of ads 1115 Based on MSP430)

psp屏显示驱动程序cpld veriloghdl-psp screen display driver cpld veriloghdl

该MATLAB仿真程序用于锂电池的充电和放电控制(24/5000 The MATLAB simulation program is used for charging and discharging control of lithium battery.)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization (PSO), also called particle swarm optimization (Particle Swarm Optimization), is abbreviated as PSO, which is a new evolutionary algorithm (Evolutionary Algorithm EA) developed in recent years. PSO algorithm is a kind of evolutionary algorithm. It is similar to simulated annealing algorithm. It also starts from the random solution and finds the optimal solution by iteration. It also evaluates the quality of the solution through fitness, but it is simpler than the genetic algorithm rule. It does not have the crossover (Crossover) and the Mutation operation of genetic algorithm. Search for global optimum. This algorithm has attracted the attention of the academic community for its advantages of easy realization, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization (PSO) is a parallel algorithm.)

说明：  摄影测量学中立体像对的相对-绝对定向程序设计代码。(Relative absolute orientation)

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官方大灰狼远程管理V8.97，免杀源码可以自己编译(You can compile free source code)