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Numerical analysis continues this long tradition of practical mathematical calculations. Much like the Babylonian approximation of sqrt{2}, modern numerical analysis does not seek exact answers, because exact answers are often impossible to obtain in practice. Instead, much of numerical analysis is concerned with obtaining approximate solutions while maintaining reasonable bounds on errors.

Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area [14]. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

基于Matlab编写的Rake接收机的基本程序，包含扩频序列的生成，多径延迟等(Written in Matlab based on the basic procedures Rake receiver, including the generation of spreading sequences, multipath delays)

Hi.the program i uploaded is useful for the electromagntic subjects. variations in the wave when it travels through the different media

说明：  计算固体作业 分析桥梁的结构 各种参数的变化(Solid job of calculating the structure of the bridge)

通过光伏模型，用MATLAB元件模拟光伏板输出，用m语言编写变步长的电导增量发的mppt(PV model by using MATLAB component analog output of photovoltaic panels, with m language variable step length hair incremental conductance mppt)

工程中有效测量幅相转换系数方法分析,非常好，公式齐全，推理明确(Effective measurement of phase conversion coefficient method in Effective measurement of phase conversion coefficient method in engineering analysis engineering analysis, is very good, complete formula, reasoning clear )

数字通信中2FSK调制与解调原理及详细源代码(2FSK Digital Communication Principles of modulation and demodulation and detailed source code)

The function alphaBetaFilter implements a generic algorithm for an alpha-beta filter that is a linear state estimation for position and velocity given an observed data. It acts like a smoothing. Also closely related to Kalman filters and to linear state observers used in control theory. Its principal advantage is that it does not require a detailed system model.

project report about DTMF method using goertzel algorithm. Also, it analysis the difference between Goertzel and FFT