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maxassignment
实现指派问题的最大赋权，利用匈牙利算法实现0-1最大值规划。(The maximum empowerment of the assignment problem)
- 2017-09-15 14:52:16下载
- 积分：1
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PVdiodeModelRsRsh
PV diode Model Rs Rsh
- 2013-12-05 16:14:11下载
- 积分：1
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平衡车gui
一阶倒立摆，GUI仿真，源程序说明，模型制作方法及图片(First order inverted pendulum, GUI simulation, source program, model making methods and pictures.)
- 2021-04-25 11:48:46下载
- 积分：1
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checkConvergence
matlab code to check convergence of error.
- 2009-03-27 10:09:59下载
- 积分：1
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FENXING-QU-MIAN
给出了矩形域上分形插值数学模型,分形插值曲面的MATLAB程序,对程序中的主要变量进行了说明,并应用实际数据进行了分形插值曲面的实例研究。运用少量已知数据值,模拟出粗糙表面,这对于直观显示复杂物体的几何形态,研究具有分形特征的地形地貌、断层表面和材料裂隙表面,具有重要的理论意义和实用价值。 更多还原
(Gives the fractal interpolation on a rectangular field mathematical model of fractal interpolation MATLAB program, the main variables of the program are described and applied case studies actual data fractal interpolation surface. Use a small amount of known data values to simulate the rough surface, which visually displays the geometry of complex objects, study topography fractal characteristics, surface faults and fissures surface material has important theoretical and practical value. More Restore)
- 2013-12-16 09:41:52下载
- 积分：1
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geometry_transf
Geometrical Image transformation with NN and linear interpolation
- 2010-06-07 18:56:26下载
- 积分：1
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matlab21
这是一个MATLAB的学习课件,里面有许多MATLAB实用的好例子,有兴趣的朋友可以(This is a MATLAB-learning courseware, there are many good examples of MATLAB practical, interested friends can)
- 2007-09-23 16:39:21下载
- 积分：1
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MATLAB-Code
基于MATLAB的数字信号处理的源程序，非常有用(MATLAB-based digital signal processing of the source, very useful)
- 2011-05-28 13:06:41下载
- 积分：1
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PpcaararC
关于matlab主元分析的一个简单单易懂的实例，可供初学入门者参考学习。
(On the matlab principal component analysis is a simple single-understand examples, for novice beginners for reference.)
- 2012-07-17 19:56:13下载
- 积分：1
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BFGS
拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)
- 2017-05-05 10:28:29下载
- 积分：1
