《SPSS 11統(tǒng)計分析教程》（高級篇）樣章，第一章：征服一般線性模型――General LINEar Model菜單詳解（上）第一節(jié)：方差分析模型簡介，PDF格式。
標(biāo)簽： SPSS 統(tǒng)計分析 教程
上傳時間： 2016-02-04
上傳用戶：semi1981
數(shù)據(jù)庫系統(tǒng)實現(xiàn)，LINEar hash算法
標(biāo)簽： 數(shù)據(jù)庫系統(tǒng)
上傳時間： 2016-02-05
上傳用戶：aa17807091
Traveling Salesman Problem (TSP) has been an interesting problem for a long time in classical optimization techniques which are based on LINEar and nonLINEar programming. TSP can be described as follows: Given a number of cities to visit and their distances from all other cities know, an optimal travel route has to be found so that each city is visited one and only once with the least possible distance traveled. This is a simple problem with handful of cities but becomes complicated as the number increases.
標(biāo)簽： interesting Traveling classical Salesman
上傳時間： 2016-02-06
上傳用戶：rocwangdp
PCA and PLS aims:to get some insight into the biLINEar factor models Principal Component Analysis (PCA) and Partial Least Squares (PLS) regression, focusing on the mathematics and numerical aspects rather than how s and why s of data analysis practice. For the latter part it is assumed (but not absolutely necessary) that the reader is already familiar with these methods. It also assumes you have had some preliminary experience with LINEar/matrix algebra.
標(biāo)簽： Component Principal Analysis biLINEar
上傳時間： 2016-02-07
上傳用戶：zuozuo1215
Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a LINEar equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.
標(biāo)簽： performance equalizers Adaptive several
上傳時間： 2016-02-16
上傳用戶：yan2267246
The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Process : finite horizon, value iteration, policy iteration, LINEar programming algorithms with some variants. The functions (m-functions) were developped with MATLAB v6.0 (one of the functions requires the Mathworks Optimization Toolbox) by the decision team of the Biometry and Artificial Intelligence Unit of INRA Toulouse (France). The version 2.0 (February 2005) handles sparse matrices and contains an example
標(biāo)簽： discrete-time resolution functions Decision
上傳時間： 2014-01-01
上傳用戶：xuanjie
This demonstration models a flight control for the longitudinal motion of a Grumman Aerospace F-14 Tomcat. First order LINEar approximations of the aircraft and actuator behavior are connected to an analog flight control design that uses the pilot s stick pitch command as the set point for the aircraft s pitch attitude and uses aircraft pitch angle and pitch rate to determine commands. A simplified Dryden wind gust model is incorporated to perturb the system.
標(biāo)簽： demonstration longitudinal Aerospace Grumman
上傳時間： 2016-05-17
上傳用戶：wang5829
自己編的一個用隨機(jī)行走法實現(xiàn)電路計算的例子，電路圖及參數(shù)均在Partial random walk for large LINEar network analysis里
上傳時間： 2016-05-19
上傳用戶：teddysha
Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on in- formed use of mathematical software. We want you learn enough about the mathe- matical functions in Matlab that you will be able to use them correctly, appreciate their limitations, and modify them when necessary to suit your own needs. The topics include * introduction to Matlab, * LINEar equations, * interpolation, * zero and roots, * least squares, * quadrature, * ordinary di?erential equations, * random numbers, * Fourier analysis, * eigenvalues and singular values, * partial di?erential equations.
標(biāo)簽： introductory Numerical Computing textbook
上傳時間： 2016-07-04
上傳用戶：思琦琦
Toolbox for Numerical Computing with MATLAB （by Cleve Moler). Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on in- formed use of mathematical software. We want you learn enough about the mathe- matical functions in Matlab that you will be able to use them correctly, appreciate their limitations, and modify them when necessary to suit your own needs. The topics include * introduction to Matlab, * LINEar equations, * interpolation, * zero and roots, * least squares, * quadrature, * ordinary di?erential equations, * random numbers, * Fourier analysis, * eigenvalues and singular values, * partial differential equations.
標(biāo)簽： Numerical Computing MATLAB with
上傳時間： 2014-01-01
上傳用戶：guanliya
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