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URG04
This is Laser Range Finder Communication source code. Device is Hokuyo URG 04 Series. URG-PC communication with SCIP 2.0.
Contents is Next
1. Open Device
2. LRF SingleScan(Aquisition 682 data array at one scan)
3. Close Device
- 2013-01-23 10:19:16下载
- 积分：1
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利用MATLAB编程实现遗传算法 GA
利用MATLAB编程实现遗传算法，并结合一维多峰值函数对算法性能进行了测试，在MATLAB环境中采用遗传算法有效地解决了求解函数的优化问题，仿真结果验证了该算法的有效性，图像直观，性能优越，为遗传算法的实际应用开辟了新的途径和渠道。(Genetic algorithms using MATLAB programming, combined with a function Victoria Peak performance of the algorithm was tested in the MATLAB environment using genetic algorithms to effectively solve the problem of solving function optimization, simulation results verify the effectiveness of the algorithm, the image visually superior performance, the practical application of genetic algorithms has opened up new avenues and channels.)
- 2013-09-25 05:39:37下载
- 积分：1
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GCV
共轭梯度算法，改进后的算法，比较好用，已经验证过了。(Conjugate gradient algorithm, the improved algorithm, more useful, has been verified.)
- 2021-01-07 14:18:53下载
- 积分：1
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CEC2017
CEC2017单目标测试函数，分享给需要的同学们(CEC2017 single objective test function)
- 2021-04-04 09:19:04下载
- 积分：1
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SIGjava
proyecto de sistema de informacion
- 2013-07-10 11:48:38下载
- 积分：1
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DLMS_WLP_3tap
空域DLMS算法的simulink结构；3抽头空域DLMS算法( )
- 2013-09-03 19:12:22下载
- 积分：1
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final-GPS
Calc_Azimuth_Elevation distance
- 2013-12-01 23:15:44下载
- 积分：1
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opt
optimum file of upfc in matlab file
- 2012-11-22 17:34:32下载
- 积分：1
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lqg
利用lqg进行飞机的闭环控制，包括反馈增益求取等。(by the use of lqg, we can find the close loop control of the aircraft.)
- 2013-12-24 15:35:26下载
- 积分：1
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lagelangri
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。(The basic Lagrange multiplier method (also known as Lagrange multiplier method) is the method of finding the extremum of function f (x1, x2,...) under the constraint of G (x1, x2,...) = 0. The main idea is to introduce a new parameter lambda (Lagrange multiplier), which links the constraint function with the original function, so that the equation can be formulated with the same number of variables, and the solutions of each variable of the extremum of the original function can be obtained.)
- 2019-04-30 15:10:35下载
- 积分：1
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