ParticleSwarmOptimization

说明：  数学建模的常用算法，包括源代码，是我在建模过程中精心筛选的，希望对大家有所帮助(Mathematical modeling of the commonly used algorithms, including source code, which I carefully screened in the modeling process, and hope to be helpful)

Normalization from mid points

This text provides an introduction to the numerical methods that are typically encountered (and used) in science and engineering undergraduate courses. The material is developed in tandem with MATLAB which allows rapid prototyping and testing of the methods. The package MATLAB (matrix laboratory) pro- vides an environment in which students can learn to programme and explore the structure of the numerical methods. The methods included here are of a basic nature and only rely on material which should have been explored prior to the fi rst year undergraduate stage.

BCH coded m-DPSK BER with AWGN

基于ANSYS APDL二次开发的航电设备的动力学扫频分析，载荷输入条件为交越频率以下为恒定位移，交越频率以上为恒定加速度。我将加速度输入转换为位移输入，将位移和加速度两段输入载荷统一按照位移载荷输入，将位移存入表数组，利用ANSYS APDL自动将扫频范围内的位移载荷存入表数组，并循环加载计算，实现了该工程结构的正弦扫频振动分析。(Kinetic sweep analysis, load input conditions of secondary development based on ANSYS APDL avionics for the crossover frequency less constant displacement, above the crossover frequency is constant acceleration. I will convert the input displacement input acceleration, displacement and acceleration loads unity in accordance with the displacement of the two input load input, the displacement of the array into the table using ANSYS APDL automatically load displacement within the sweep range of the array into the table, and cyclic loading calculated to achieve a swept sine vibration of the project structure.)

to compares two least-square linear regression

matlab，实现了4中谱聚类方法 + Constrained spectral clustering [KDD10,DMKD] + Active spectral clustering [ICDM10] + Multi-view spectral clustering [SDM13] + Self-taught spectral clustering [SDM14]

一个自己写的设置SNAKE初始节点的MATLAB程序,以绿色十字标记节点位置,在此基础上可以编制自己的SNAKE算法,(himself wrote a set of Snake initial nodes MATLAB procedures to Green Cross markings node location, on this basis can prepare their own Snake algorithm, huh)

svpwm电压空间矢量控制算法的simulink实现(the SVPWM)

If we have two individually sorted vectors "a" and "b" but they are not sorted with respect to each other and we want to merge them into vector "c" such that "c" is also a sorted vector. Then c=mergesorted(a,b) can be used. (If we have two vectors individually sorted "a" and "b" but they are not sorted with respect t o each other and we want to merge them into vector "c" such that "c" is also a sorted vector. Then c = mergesorted (a, b) can be used.)