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glauert
风力机叶片设计程序，基于葛劳渥方法开发的程序(gelaowo fangfa wind turbine design )
- 2012-04-03 21:20:30下载
- 积分：1
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svm
svm分类器，有几类样本点，利用线性SVM分类器求出其分界面(svm classifier, there are several types of sample points, using a linear SVM classifier obtained the sub-interface)
- 2011-08-11 16:32:16下载
- 积分：1
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analytic-hierarchy-process
层次分析法（Analytic Hierarchy Process，简称AHP）是将与决策总是有关的元素分解成目标、准则、方案等层次，在此基础之上进行定性和定量分析的决策方法。(AHP (Analytic Hierarchy Process, the AHP for short) is the elements related to the decision is always broken down into objectives, principles, scheme, such as level, on the basis of the decision-making methods of qualitative and quantitative analysis.
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- 2013-12-08 14:45:56下载
- 积分：1
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lyapunovexponenoflorenz
说明： 该程序通过雅可比矩阵求解Lorenz系统的李雅普诺夫指数指数。(The program solves Lyapunov exponent of Lorenz system by Jacobian matrix.)
- 2021-03-16 15:39:22下载
- 积分：1
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napla
用来求解某一函数的梯度，维数可以很大，上万维也可以(Used to solve the gradient of a function, the dimension can be large, on the World Wide Web can also be)
- 2013-09-13 16:10:37下载
- 积分：1
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PlaneFrameElementStiffness
有限元PlaneFrameElement的matlab程序(FEA matlab PlaneFrameElement)
- 2013-10-12 23:17:28下载
- 积分：1
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wuyueshujizhiwenti
最优化算法，包括各种线性优化和非线性优化问题(Optimization algorithms, including linear optimization and nonlinear optimization problems)
- 2009-12-18 22:21:51下载
- 积分：1
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MTI-MTD-TOA-maiya
用matlab实现脉冲压缩，MTI,MTD,及TOA定位和定位精度分析，很难得的信号处理资料(Pulse compression, MTI, the MTD, and TOA positioning and positioning accuracy analysisby using matlab)
- 2012-04-14 00:10:34下载
- 积分：1
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yuchuansuanfa
本代码是关于，运用遗传算法实现旅行商问题的所有代码，以及MATLAB的使用方法以及工具箱等，是你做设计和其他方面的好例子,s是基于MATLAB软件的运行程序(jhjjsdh shdisd sdhjskd sdjdhsjk skdhsj sdhjs hsdh sd sd s s d s sd s d s d s d sd sd s d s d s d s sd s d sd dsd s dds d sd s d d s d s )
- 2010-06-01 13:23:45下载
- 积分：1
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IterativeClosestPointMethod
ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model - matrix with model points,
data - matrix with data points,
OUTPUT:
R - rotation matrix and
T - translation vector accordingly
so
newdata = R*data + T .
newdata are transformed data points to fit model
see help icp for more information
(ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model- matrix with model points,
data- matrix with data points,
OUTPUT:
R- rotation matrix and
T- translation vector accordingly
so
newdata = R*data+ T .
newdata are transformed data points to fit model
see help icp for more information
)
- 2007-09-09 16:06:34下载
- 积分：1
