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lyapunov
LE计算方法。这里给出了经典的分析方法。(LE calculation. Here are the classic analytical methods.)
- 2008-01-30 14:39:41下载
- 积分：1
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Jacobian
making jacobian matrix
- 2011-06-11 15:10:11下载
- 积分：1
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ODEs-solution-in-MATLAB
matlab环境下常微分方程的结算方法，主要介绍数值算法。(proportional navigation trajectory )
- 2011-07-12 22:16:14下载
- 积分：1
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Desktop
Numerical analysis: Newton method used to solve the nonlinear problems.
- 2013-08-24 05:14:52下载
- 积分：1
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F16model
关于f16的模型以及用四元素和常规办法配平。(About f16 model and with four trim elements and conventional approaches.)
- 2015-02-01 20:19:42下载
- 积分：1
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plotrect
This function plot a series of rects described from the N columns of a
matrix 4xN, each column is of the form [x,y,w,h]
- 2010-07-22 17:06:40下载
- 积分：1
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pattern
说明： 分析了几种常用的模式识别方法，对几种方法进行比较分析，对初学者有帮助(Analysis of several commonly used pattern recognition method, a comparative analysis of several methods, help for beginners)
- 2010-04-13 10:03:07下载
- 积分：1
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circle_fit
说明： 圆拟合，通过已知的多组数据，拟合出最小误差的圆(Given a set of measured x,y pairs that a re supposed to reside on a circle, but with some added noise. A circle to these points, i.e. find xc,yc,R, such that (x-xc)^2+(y-yc)^2=R^2)
- 2009-08-27 06:38:28下载
- 积分：1
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DEFINEV
％DEFINEV Scaling vector and derivative
％
％ [v,dv]= DEFINEV(g,x,l,u) returns v, distances to the
％ bounds corresponding to the sign of the gradient g, where
％ l is the vector of lower bounds, u is the vector of upper
％ bounds. Vector dv is 0-1 sign vector (See ?? for more detail.)
％
％ Copyright (c) 1990-98 by The MathWorks, Inc.
％ $Revision: 1.2 $ $Date: 1998/03/21 16:29:10 $( DEFINEV Scaling vector and derivative [v, dv] = DEFINEV (g, x, l, u) returns v, distances to the bounds corresponding to the sign of the gradient g, where l is the vector of lower bounds , u is the vector of upper bounds. Vector dv is 0-1 sign vector (See?? for more detail.) Copyright (c) 1990-98 by The MathWorks, Inc. $ Revision: 1.2 $ $ Date : 1998/03/21 16:29:10 $)
- 2007-05-31 11:39:15下载
- 积分：1
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Modified-GramSchmidt
Modified Gram-Schmidt (MGS)正交化法是利用已有正交基计算新的正交基。既能选择相关特征，又能排出已选特征对后续特征选择的影响。(Modified Gram-Schmidt (MGS)orthogonalization gives new orthogonal basis through original orthogonal basis. It can do the feature selection and eliminate the impact on choosing new feature vector by the selected one.)
- 2013-11-03 22:52:42下载
- 积分：1
