CavityFlow

说明：  详细介绍了用vc和matlab混合编程的开发应用过程，从入门开始直到学会(introduce the programming way of vc and matlab,let s us konw how to use them together you kan study it in detail step by step)

经典的扩展卡尔曼滤波卡尔曼滤波程序，首先对非线性函数取一阶近似，生成近似的新型函数，然后进行卡尔曼滤波，通过一步状态和估协方差估计产生新息，然后生成状态预测(Classical extended Kalman filter, Kalman filter procedure, first take the first order approximation of nonlinear function to generate the new function approximation, and then proceed to the Kalman filter step state estimate covariance is estimated to generate new interest, and then generate the state prediction)

用matlab实现了著名的生命游戏，也称元宝自动机，可以观察到很多有趣的模式(Using matlab to achieve the famous Game of Life, also known as ingots automata, can observe many interesting patterns)

The following Matlab project contains the source code and Matlab examples used for continuous wavelet transform and inverse.

对人类poly（A）位点的特征提取函数，共可提取K-mer、eiip、Z-curse、pwm、热力学结构等374项特征(On the characteristics of human poly (A) sites extraction function of extractable K-mer, eiip, Z-curse, pwm, the thermodynamic characteristics of structure 374)

一种matlab图像处理实用程序一百例。(matlab image processing)

英文描述特征值 的计算 定义 便于理解 为矩阵运算提供 帮助(eigenvalue)

关于正交网格的生成方法，适用于流体力学等领域，内附详细说明(On orthogonal grid generation method, containing details)

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.)

The MATLAB DMTTEQ Toolbox is a collection of MATLAB functions to design and test the following time domain equalizer design methods