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myMM1
刚写的Matlab下的M/M/1排队的仿真代码，加了完整的注释(Just write the M/M/1 queue under Matlab simulation code, plus a complete Notes)
- 2020-12-09 17:09:21下载
- 积分：1
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Kalman
该文档给出了KALMAN滤波的MATLAB语言实现程序，希望对初学者有所帮助(The document gives the KALMAN filter MATLAB language program, want to help beginners)
- 2010-05-10 16:42:59下载
- 积分：1
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firefly_simple
The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorithm by assuming:[1]
All fireflies are unisexual, so that one firefly will be attracted to all other fireflies
Attractiveness is proportional to their brightness, and for any two fireflies, the less bright one will be attracted by (and thus move to) the brighter one however, the brightness can decrease as their distance increases
If there are no fireflies brighter than a given firefly, it will move randomly.
The brightness should be associated with the objective function.
Firefly algorithm is a nature-inspired metaheuristic optimization algorithm.
- 2014-12-24 05:08:32下载
- 积分：1
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huise
数学建模中常用的灰色预测程序，经整理，有注释(Commonly used mathematical modeling of gray prediction program, collated comment)
- 2013-05-19 22:15:43下载
- 积分：1
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Optimize
MATLAB 6_5 辅助优化计算与设计
1、文件命名说明
a)文件夹“第1章”中的文件对应书中第1章的例程，其他以此类推；
b) 文件名exampleX1_X2.m：对应例程X1_X2
例如：example2_1表示例程2_1.
2、注意
为了方便起见，书中的每一个例程存为一个文件；而有些例程中将其调用的函数文件也放在这个例程文件中，所以读者在运行光盘中的例程文件时注意这一点，如果是这样的例程文件应该将其调用的函数文件分离出来另存为一个文件。(MATLAB 6_5 Auxiliary and Design Optimization 1, Note document naming a) folder "Chapter 1" in the document corresponding book Chapter 1 of the routines, other analogy; b) Name exampleX1_X2.m : X1_X2 corresponding routines such as : example2_1 said two compression routines. 2, the attention for the sake of convenience, Each book deposit for a routine one; Some routines will call a function of its documents on the routines document, Therefore, the reader is running the routines CD document to this point, If this is the routine document should be called to separate the function documents saved as a file.)
- 2006-11-23 17:07:55下载
- 积分：1
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I9(2)
MATLAB program for speech signal recognition using lpcc (Linear Predictive Cepstral Coding) one of the method for the pick up of speech character.
- 2012-10-24 02:56:59下载
- 积分：1
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DSP_Matlab_examples
数字信号处理书籍的matlab程序，内含许多数字信号处理内容，值得下载(digital signal processing procedures Matlab books, containing many digital signal processing, is worth the download)
- 2006-09-26 20:53:38下载
- 积分：1
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matlaba
matlab 光子晶体传输特性代码，详细表达能量和波长关系！很好(Transmission Properties of Photonic Crystals matlab code, detailed relationship between the expression of energy and wavelength! Well)
- 2010-05-27 22:52:01下载
- 积分：1
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PLS
此为偏最小二乘支持向量机的说明文档，加程序与详细的程序说明！(This is the partial least squares support vector machine documentation, plus a detailed description of the procedures with the program!)
- 2011-09-07 15:45:05下载
- 积分：1
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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
