-
ProgTimeOptCar
Program
a.
Description: This source code program can produce a minimum-length trajectory for any two configurations.
b.
Size: 28kb
c.
Platform: Matlab 7.1.
d.
Major Component Description: 41 .m files in the folder .Progra
- 2012-04-13 11:00:14下载
- 积分：1
-
AR
说明： 这是数字信号处理课程中的AR模型的功率平铺攻击MATLAB编程(This is a digital signal processing courses in the AR model of power tile attack MATLAB Programming)
- 2010-06-29 11:53:05下载
- 积分：1
-
matlab
说明： matlab实用程序300例，非常好的学习资料，300个经典的实用例子，可以使你对matlab有更深入的了解。(matlab utility 300 cases, very good learning materials, 300 classical and practical examples, matlab can make you a better understanding.)
- 2008-11-11 15:50:05下载
- 积分：1
-
xor
Neural network Xor example
- 2013-03-06 10:34:10下载
- 积分：1
-
BldgDamage-Fld-Surge-Tsunami-Load_Caraballo
Building damage to flood storm and tsunami
- 2014-11-03 17:19:35下载
- 积分：1
-
defcon-16-pilosov-kapela
The 16th famous Defcon conference paper
- 2013-05-13 11:01:37下载
- 积分：1
-
work
用matlab语言编的基于粗糙集理论的属性约简程序(matlab roughset)
- 2009-05-11 17:07:38下载
- 积分：1
-
sourse
本资源提供了几种matlab源代码，差值与拟合，规划问题，解方程，数值分析，非常有用。(Resources of several Matlab source code, the difference between fitting and planning problems, solving equations, numerical analysis, very useful.)
- 2012-04-12 09:03:40下载
- 积分：1
-
CS_OMP
采用l1最小范数优化的方法进行压缩感知的图像处理(Minimum norm optimization using l1 compression method of image processing perception)
- 2010-05-31 11:16:14下载
- 积分：1
-
CMA-ES
The optimization behavior of the self-adaptation
(SA) evolution strategy (ES) with intermediate multirecombination
(the (=I )-SA-ES) using isotropic mutations
is investigated on the general elliptic objective function. An
asymptotically exact quadratic progress rate formula is derived.
This is used to model the dynamical ES system by a set of
difference equations. The solutions of this system are used to
analytically calculate the optimal learning parameter . The
theoretical results are compared and validated by comparison
with real (=I )-SA-ES runs on typical elliptic test model
cases. The theoretical results clearly indicate that using a
model-independent learning parameter leads to suboptimal
performance of the (=I )-SA-ES on objective functions
with changing local condition numbers as often encountered in
practical problems with complex fitness landscapes.
- 2013-09-12 20:32:09下载
- 积分：1
