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1
说明： 在共梯度法中 只有当初值的选取靠近最优解时 迭代才会收敛 当远离时发散 且 当精度控制为0.1时可以实现 但设为0.01时就实现不了(numubrical)
- 2010-11-23 17:22:47下载
- 积分：1
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areanav
interactive area plot
- 2006-10-15 10:57:09下载
- 积分：1
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PEACH
低复杂度信道估计仿真程序，用来降低信道估计的复杂度(Low complexity channel estimation simulation program, used to reduce the complexity of the channel estimation)
- 2015-01-22 10:28:50下载
- 积分：1
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fengsumoxing
应用SIMULINK搭建适用于风力发电系统的风速模型，包括阵风，自然风等风速类型叠加出符合要求的风速模型，为风力发电系统的仿真提供合理的风速
(Application of SIMULINK to build a wind power generation system is suitable for wind speed model, including gusts, wind speed and other types of natural wind out wind speed superposition model to meet the requirements to provide a reasonable wind speed for the simulation of wind power generation systems)
- 2016-05-15 21:46:14下载
- 积分：1
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Automatic-control2
自动控制技术及其应用在现代科学技术的许多领域中，自动控制技术起着越来越重要的作用(Automatic control technology and its application in many areas of modern science and technology, automatic control technology plays an increasingly important role)
- 2011-08-22 15:17:28下载
- 积分：1
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xiangguanfenxifa
利用相关分析法对系统进行辨识，使用matlab,能够成功辨识出系统传递函数(Correlation analysis method using the system identification, the use of matlab, can successfully identify the system transfer function)
- 2013-09-24 14:43:10下载
- 积分：1
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nmldpc
to encode an LDPC code
- 2012-04-02 02:43:03下载
- 积分：1
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quan-pai-lie-ju-zhen
全排列矩阵，依次输入exchange swap tianchongJ即可，若想修改全排列矩阵的大小，可在MATLAB中打开tianchongJ修改J和N。
(Permutation matrix, followed by the input exchange swap tianchongJ can, if you want to modify the size of permutation matrix can be modified in MATLAB to open tianchongJ J and N.)
- 2011-06-09 15:58:38下载
- 积分：1
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c
说明： 针对员工数目较多的公司，用于员工信息查询和工资计算(A relatively large number of companies for the employees, for employee information inquiries and payment of wages)
- 2009-12-02 19:38:06下载
- 积分：1
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chengzifa
基本的拉格朗日乘子法(又称为拉格朗日乘数法)，就是求函数f(x1,x2,...)在g(x1,x2,...)=0的约束条件下的极值的方法。其主要思想是引入一个新的参数λ（即拉格朗日乘子），将约束条件函数与原函数联系到一起，使能配成与变量数量相等的等式方程，从而求出得到原函数极值的各个变量的解。
(Basic Lagrange multipliers (also known as Lagrange multiplier method), is of a function f (x1, x2 ,...) in g (x1, x2 ,...)= 0 constraints under the conditions of extreme value methods. The main idea is to introduce a new parameter λ (the Lagrange multiplier), the constraint function is linked together with the original function, so variables can be paired with an equal number of equations equation, thus obtained by the original function extreme solution of the various variables.)
- 2011-01-17 20:54:43下载
- 积分：1
