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One-dimensional-extremum-problem
说明： 第6章 无约束一维极值问题
所在章节 函数名 功 能
6.1 minJT 用进退法求解一维函数的极值区间
6.2 minHJ 用黄金分割法求解一维函数的极值
6.3 minFBNQ 用斐波那契法求解一维函数的极值
6.4 minNewton 用牛顿法求解一维函数的极值
6.5 minGX 用割线法求解一维函数的极值
6.6 minPWX 用抛物线法求解一维函数的极值
6.7 minTri 用三次插值法求解一维函数的极值
6.8.1 minGS 用Goldstein法求解一维函数的极值
6.8.2 minWP 用Wolfe-Powell法求解一维函数的极值
(Chapter 6 unconstrained extremum problem one-dimensional sections of the functional 6.1 minJT function method for solving one-dimensional with the advance and retreat of the extreme range of 6.2 minHJ function of the golden section method using one-dimensional function of the extreme 6.3 minFBNQ use Fibonacci method one-dimensional function of the extreme 6.4 minNewton Newton method with one-dimensional function with extreme 6.5 minGX one-dimensional secant method to solve the extreme 6.6 minPWX function method for solving one-dimensional parabolic function of the extreme 6.7 minTri method with cubic interpolation one-dimensional function of the extreme 6.8.1 minGS Goldstein method with one-dimensional function of the extreme 6.8.2 minWP Wolfe-Powell method with a one-dimensional extreme value function)
- 2011-04-12 15:51:56下载
- 积分：1
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guandao
光纤陀螺误差建模与分析，北航惯性导航基础课程大作业，含matlab程序代码(FOG error modeling and analysis, Northern-based inertial navigation operations courses, including matlab code)
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QuadRotor_MA8.2
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cs-code
Sparse Recovery Experiments with Sparse Matrices
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msk_mod
关于msk的调制解调 特点是程序简洁 可以迅速产生信号 节省运行时间(On the MSK modem is characterized by simple procedures can be quickly generated signal to save run-time)
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interleaving
能够修改交织深度，来实现任意长度的交织，采用802.11a的方案，实现分组交织(Interleaving depth can be modified to achieve any length intertwined, using 802.11a solution, implementing the packet interleaving)
- 2013-08-07 22:09:54下载
- 积分：1
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HW1_3_signerrorLMS
Adaptive filter 三种演算法RLS,LNS sign error LMS(three RLS algorithm. LNS sign error LMS)
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05672765
Introduction to the Issue on Cooperative
Communication and Signal Processing
in Cognitive Radio Systems
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waterfill-algorithm
mimo中的功率控制算法--注水算法与原程序（全）(mimo algorithm waterfill)
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FuzzyC
Fuzzy clustering methods including subtractive and Fuzzy C-means and comparing them to Kmeans clustering method
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