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MATLAB 的 C++ 数学库 使用手册 英文版(MATLAB for C++ Math Library User' s Guide English)

文件里面是关于地震反演的文档和MATLAB程序实例，适合反演初学者使用学习。(Document which is a document and MATLAB instance on seismic inversion, for beginners to learn the inversion.)

电子工业出版社出版的国外电子与通信教材系列一书：现代通信系统（MATLAB版）（第二版）中的脚本文件与M文件(第二章－－九章) (Electronics Industry Publishing House of foreign electronic communications materials and a series of books : Modern communication system (MATLAB) (2nd edition), the script file and M (Chapter II-- 1109))

dimmer Test Program

matlab生成的voronoi图,可用于多相复合材料的计算问题。(to creat a voronoi )

Speech Enhancement Using Spectral Subtraction A Spectral Subtraction implementation for speech enhancement using MATLAB 6.5

program to describe longfekuta

单变量的GPC模型预测控制算法，通过实例研究GPC的稳定性。(GPC single-variable model predictive control algorithm to study the stability of GPC by way of example.)

GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For an account of various methodologies as well as some of potential applications, the interested reader is referred to [1, 2] and the nice collection of papers [5].(GloptiPoly 3: moments, optimization andsemidefinite programming.Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem ofMoments (GPM), an infinite-dimensional optimization problem which can be viewed asan extension of the classical problem of moments [8] . From a theoretical viewpoint, theGPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to citea few. In addition, and despite a rather simple and short formulation, the GPM has alarge number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For anaccount of various methodologies as well as some of potential applications, the interestedreader is referred to [ 1, 2] and the nice collection of papers [5].)

量子计算函数，包括shor,grover等算法，非常方便(This document presents a brief tutorial/overview of QCF, then shows how it can be used to simulate the well-known algorithms of Deutsch, Deutch-Jozsa, and Grover. )