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Matrix-Algebra-Theory
矩阵分析的书其一些基本理论，是学习矩阵分析常用的书籍(Matrix Alfebra,theory,Computations,and applications in statistics,James E Gentle)
- 2011-06-01 15:12:54下载
- 积分：1
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BCI-frequency-search
matlab code for frequency search method
- 2012-07-25 05:07:17下载
- 积分：1
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Ex10-Matlab-code
Matlab源码，模拟量子密钥分配，simulate Quantum Key Distribution (QKD）
(Using Matlab to simulate Quantum Key Distribution (QKD)
)
- 2021-04-09 12:39:00下载
- 积分：1
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bchgenpoly
产生BCH码多项式，其中码字长度为N，消息长度为K(BCH code generated polynomial, which codeword length N, message length K)
- 2007-07-16 17:31:18下载
- 积分：1
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PID_10
普通PID控制及其扩展算法控制的MATALB仿真程序，内容包含面广．(ordinary PID control algorithm and its expansion of enriching control simulation program, which includes many sectors.)
- 2007-03-11 13:57:22下载
- 积分：1
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lms
lms算法实现单波束形成，线阵单波束形成，(linear array signal beamforming )(LMS beamforming algorithm alone, single-line array beamforming, (linear array signal beamforming))
- 2007-07-11 22:01:14下载
- 积分：1
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DOPBoxV1_5
Discrete Orthogonal Polynomial Toolbox: DOPBox Version 1.5
- 2013-07-30 13:30:40下载
- 积分：1
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PV_Array_Author_rupesh
simulation in matlab simulink of a pv array for solar energy conversion
- 2011-10-18 23:21:06下载
- 积分：1
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tulusuanfa
图论算法，里边的内容包括最短路径，最小生成树，最大流，遍历的算法及详细讲解。(Graph algorithms, including inside the shortest path, minimum spanning tree, maximum flow, traversal algorithms and detailed explanation.)
- 2013-08-27 22:07:51下载
- 积分：1
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WindyGridWorldQLearning
Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian
domains. It amounts to an incremental method for dynamic programming which imposes limited computational
demands. It works by successively improving its evaluations of the quality of particular actions at particular states.
This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins
(1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions
are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions
to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed
each iteration, rather than just one.
- 2013-04-19 14:23:35下载
- 积分：1
