mfcc,dtw单音内容识别

应用背景This application is to focus on the numerical methods in Computational Fluid Mechanics, dealing with aeronautics, hydraulics, heat and mass transfer etc. We konw fluids have the ability to transport matter and its propertities as well as transmit force, therefore fluid mechanics is a subject that is particularly open to cross fertilization with other sciences and disciplines of engineering. The subject of fluid mechanics will be highly relevant in domains such as chemical,metallurgical, biological and ecological engineering.关键技术 SIMPLE (Semi-Implicit Method for Pressure Linked Equations) algrithm is the principal numerical method to numerical simulate incompressible fluid flow, it can remove the difficults of fake pressure disturbance and neglecting specific pressure equation for incompressible fluid flow successful. The main thoughts and steps of SIMPLE algorithm are given in this application. The single-phase loc

谭浩强C语言书中的一个走迷宫的例子，此程序是其算法实现，用VC编译运行-Hao C-language book of a Maze example of this process is its algorithm, compiled with VC operation

应用背景The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose multiobjective optimization algorithms. The MOEA Framework supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3 and MOEA/D. In addition, the MOEA Framework provides the tools necessary to rapidly design, develop, execute and statistically test optimization algorithms.关键技术Its key features includes:   * Fast, reliable implementations of many state-of-the-art algorithms   * Extensible with custom algorithms, problems and operators   * Supports master-slave, island-model, and hybrid parallelization &n

一个基础的PSO算法，注释详细，很利于学习参考。 粒子群优化算法（PSO——Particle Swarm Optimization）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。

圆排列的概率算法-round with a probability algorithm

本程序实现了数理统计的趋势面分析，并给出了F,t检验，可用作数理统计教材的配套计算-realized by the Mathematical Statistics trend surface analysis, and gives F, t test, can be used as a teaching mathematical statistics supporting calculations

简单的讲，所谓拟合是指已知某函数的若干离散函数值{f1,f2,…,fn}，通过调整该函数中若干待定系数f(λ1, λ2,…,λ3), 使得该函数与已知点集的差别(最小二乘意义)最小。如果待定函数是线性，就叫线性拟合或者线性回归(主要在统计中)，否则叫作非线性拟合或者非线性回归。表达式也可以是分段函数，这种情况下叫作样条拟合。-Simply speaking, the so-called fitting refers to a function known to a number of discrete function values (f1, f2, ..., fn), by adjusting the number of undetermined coefficient function f (λ1, λ2, ..., λ3), makes the function and known points of difference (least squares significance) the smallest. To be determined if the function is linear, is called linear regression or linear regression (mainly in the statistics), otherwise known as non-linear fitting, or nonlinear regression. Expressions can also be a sub-function, this case is called spline fitting.

使用C#编写Powell算法，可用于最优化计算等其中OneDimensionSearch为一维极值搜索SolutionSection为进退法搜索极值区间 FuncMin为Powell算法主体

这个是常用的数字计算,非常有用的啊,建议大家学习学习-This is commonly used figures, ah very useful, it is recommended everyone learn

作为对计算流体力学划时代共享的新方法。roe格式对于差分格式的构造提供了新的全新的领域！Fortran编写-Computational fluid dynamics as a new method of landmark-sharing. roe format structure for the difference scheme provided a new field of brand new! Fortran prepared