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PSOTSPMatlabProgram
说明： 粒子群算法求解TSP问题Matlab源代码(Particle swarm optimization algorithm for TSP problem Matlab source code)
- 2010-04-02 12:13:33下载
- 积分：1
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EKF-predict
扩展卡尔曼滤波的算法程序，里面包含了一阶和二阶的ekf预测M文件，希望对大家有帮助(EKF extended kalman filter matlab filter algorithm,can be used to 1st order Extended Kalman Filter prediction step, 1st order Extended Kalman Filter update step,2nd order Extended Kalman Filter prediction step
,2nd order Extended Kalman Filter update step)
- 2011-09-30 16:44:00下载
- 积分：1
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OFDM-out-of-band--carrier-deactivation
these codes implement out of band carrier de activation for OFDM. the number of subcarriers is flexible.
- 2013-12-13 20:09:37下载
- 积分：1
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THE-Calender
一个简单的matlabGUI界面，设计的一个日历，有时间和星期的简单源码(The a simple matlabGUI interface, design a calendar, a simple source of the time and day of the week)
- 2012-12-04 17:33:23下载
- 积分：1
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LBM_poiseuille_matlab
LBM法求解流体力学中的泊肃叶流问题，输入迭代次数，输出动态速度分布图。(LBM method in fluid mechanics Poiseuille flow problem, enter the number of iterations, output dynamic velocity distribution.)
- 2011-06-10 10:41:51下载
- 积分：1
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centered_difference_numerical_diff
Implementation of the centered difference method for numerical differentiation.
Evaluation of the derivative of the following functions (numerically)
f(x) = 0.3x^2 + x*exp(sin(2x)), for − 6 <= x <= 6(Implementation of the centered difference method for numerical differentiation.
Evaluation of the derivative of the following functions (numerically)
f(x) = 0.3x^2+ x*exp(sin(2x)), for − 6 <= x <= 6)
- 2009-11-26 21:20:10下载
- 积分：1
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lizifenbusudu
该部分MATLAB代码是计算粒子速度分布仿真代码，并将结果进行图形化(calculate matlab code)
- 2017-05-09 21:20:12下载
- 积分：1
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Voltage-regulation
According to the beginning of a long transmission line model of the voltage requirements and power , and voltage regulation
- 2011-11-26 00:20:12下载
- 积分：1
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Matlab_funct
matlab函数的绘图技巧，具有重要的意义，适合初学者(matlab function mapping techniques, is of great significance, for beginners)
- 2010-06-20 12:37:13下载
- 积分：1
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legendshrink
legendshrink reduces the amount of horizontal space taken up by a figure legend by reducing the length of lines. (Best results when the legend box is off.)
This is important for small plots because the size of the lines is
constant irrespective of the physical size of the figure. Only works
for vertical legends, for now.
- 2009-06-24 21:20:05下载
- 积分：1
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