MIMO

graphics and data analysis program in matlab

Consists of matlab example which one can practice and familiarize with some of the commands

leach simulation in matlab

核反应堆LQG/LTR控制器设计实例，有较好的学习意义，值得一看(Nuclear reactor LQG/LTR controller design example, a better sense of learning, worth a visit)

Abaqus 的JC UMAT程序,适合于UMAT初学时，对UMAT程序进行了解以及熟悉对Abaqus中对UMAT子程序的使用过程(The Jc model of UMAT)

Pisarenko谐波分解算法,wolf 方法计算李雅普诺夫指数,本科毕设要求参见标准测试模型。( Pisarenko harmonic decomposition algorithm, wolf calculated Lyapunov exponent, Undergraduate complete set requirements refer to the standard test models.)

matlab对不同风速下的PM海浪谱仿真(Simulation of PM wave spectrum under different wind speeds)

QAM modulation scheme for spreading codes gray

本书第一章系统讲述 MATLAB6.5 的集成工作平台，引导读者初会MATLAB 基本用法。 第二、三章系统叙述MATLAB6.1 的四大基本数据类型（数值数组、字符串数组、元胞数组、构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit 数组、稀疏类）则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数和数据可视、面向对象编程、GUI 交互操作界面设计、EXE 独立应用程序生成、实现不同软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。本书用专门的一章深入浅出地阐明SIMULINK 的分层建模、仿真功能、MATLAB 交互的功能。(This book first chapter of system narrated that the MATLAB6.5 integration working platform, guides the reader first meeting MATLAB essential usage. Second, third chapter of system narrate the MATLAB6.1 four big basic data type (value array, string of character array, structure cell array, skeleton array), as for other expansion data type (function handle, mark data, internal integration function, the unit array, sparse kind) in addition wards off the chapter to state specially. Hereafter, this book with nine independent Zhang Fenshu MATLAB6.5 numerical calculus, the mark computation, the function and the data visible, the object-oriented programming, GUI operates the contact surface design, the EXE independent application program generation, to realize different software platform interactive API, the M-book data graph writing environment integration alternately and so on eight big general functions. This book expounds the SIMULINK lamination modelling, the simulation function with prof)

MATLAB最优化计算的学习资料，值得一读！！！(MATLAB optimization calculations of learning materials, worth reading! ! !)