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基于matlab语言，分裂和合并的源程序，(Based on matlab split and merge)

HFSS-MATLAB-API is a library toolbox to control Ansoft HFSS from MATLAB using the HFSS Scripting Interface. " T(hcI   Xo^8o0xi This tool provides a set of MATLAB functions to create 3D objects in HFSS by generating the required HFSS Scripts. >WLPE6E !U`&a=k Basically, anything that can be done in HFSS user interface and the 3D Modeler can be done with this library of functions. F<4rn gv!8 DKn Once a script is generated in this manner, it can be run in HFSS to generate the 3D model, solve it and export the data. yUoR6w Y#U.9>h You create your entire design in MATLAB and basically use HFSS to solve it.

for fem matlab for solving all 2D and 3D problem

利用Inmin01.m函数计算系统PID校正器参数的程序(The use of computing systems Inmin01.m function parameters PID correction procedures)

纵向罗绮光栅的制作。用于生成周期为6个（可以根据需要改变）像素的纵向罗绮光栅，可以根据需要设定光栅的分辨率。(Vertical Luo Qi Grating. Used to generate a period of 6 (can be changed) pixels vertically Luo Qi grating may be based on need to set raster resolution.)

用MATlab实现的遗传算法，i比较简单，适用于刚学习粒子群算法的人，大家可以交流一下(MATlab genetic algorithm, relatively simple, suitable for people new to the study of the particle swarm optimization (pso) algorithm, we can discuss)

通过调用anova1函数作单因素一元方差分析(Anova1 function by calling a dollar for single factor analysis of variance)

多目标进化算法，里面有html格式的源码说明！(Multi-objective evolutionary algorithm, which has the source code for html format description!)

developing envelope matlab prog

本书系统地介绍了生物医学数据分析的相关基础知识和主要的分析方法，并通过 MATLAB 对大量的 生物医学数据分析的实例进行实现。全书共分为 7 章：第 1 章绪论；第 2 章 MATLAB 应用基础；第 3 章 医用数学基础及其 MATLAB 实现；第 4 章多变量分析；第 5 章时间序列分析；第 6 章生物信息学基础； 第 7 章生物医学数据的检索方法。 (This book introduces the relevant basic knowledge and analysis of biomedical data analysis, and analysis of biomedical data through MATLAB instance implemented. The book is divided into seven chapters: Chapter 1 Introduction Chapter 2 based on MATLAB applications Chapter 3 Medical mathematical foundation and its MATLAB implementation Chapter 4 multivariate analysis Chapter 5, time series analysis Chapter 6 bioinformatics Chapter 7 of the foundation biomedical data retrieval methods.)