Matlabexampleaboutm
Matlab 实例-编写M脚本文件，涉及比较深层的 MATLAB 内容：脚本；函数（一般函数、内联函数、子函数、私用函数、方法函数）；程序调试和剖析；数据结构（类、对象）；重载和继承；面向对象编程。本章配备了许多精心设计的算例。这些算例是完整的，可直接演练的。读者通过这些算例，将真切感受到抽象概念的内涵、各指令间的协调，将从感知上领悟到面向对象编程的优越和至关要领。(Matlab Examples- the preparation of M script file, involving comparison MATLAB deeper content: script function (general function, inline function, Functions, Private Functions, methods, functions) program debugging and analysis data structure (class, object) Overloading and inheritance object-oriented programming. This chapter with a number of carefully designed examples. These examples are complete, can directly exercise. Through these examples the reader will really feel the meaning of abstract concepts, the coordination between commands from realizing that the perception of object-oriented programming and to the superior customs essentials.)
- 2008-05-30 07:23:35下载
- 积分：1
gloptipoly3
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].)
- 2008-04-28 20:26:36下载
- 积分：1
