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遗传算法程序：求解TSP问题的深度高效方法(Genetic Algorithm Programming: Solving the problem of deep and efficient method of TSP)

suzuki process be one of the famous channel modeling that described by lognormal distributation that added by railey fading distributation.

说明：  方差分析，用来换取一些我想要的.M程序，谢谢，是不是要够20字啊(variance analysis, in exchange for something that I want. M procedures, thank you, it is not enough to the 20-character ah)

升余弦滚降系统的源程序 matlab程序示例简要示范(Raised Cosine system source code matlab brief demonstration program examples)

电机的仿真，运用simulink对电机进行分块建模仿真，得出电机的转速和转矩的图像(The simulation using simulink motor on the motor, it is concluded that the partitioned modeling simulation of motor speed and torque images)

有关cognitive radio的内容,对matlab进行的模拟测试,希望对大家有所帮助(the cognitive radio the content of the Matlab simulation tests We hope to help)

DC590B 的资料，用于BMS开发工具 里面介绍功能及用法(device datasheet)

说明：  遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms. Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a computer simulation. For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution. Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible. Evolution begins with a population of completely random individuals, and it happens from generation to generation.)

this is a curvelet transform

说明：  用蒙特卡洛模拟实现美式期权定价，包括资产路径生成和美式期权欧式期权定价的源代码，附带参考文献。(Using Monte Carlo simulation to realize American option pricing, including the source code of asset path generation and American option European option pricing, with reference.)