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fit_line
- //最小二乘法直线拟合 m_FoldList为关键点(x,y)的链表 拟合直线方程(Y=kX+b) -/ / linear least squares fitting m_FoldList as the key point (x, y) of Chain fitting linear equation (Y = C/56 b)
矩阵链乘算法
- 距阵链乘问题: 找出矩阵链乘A(35*40) A(40*20) A(20*10) A(10*15)的最佳相乘次序。 算法来自:计算机算法导引-matrix chain by : identify matrix chain by A (35 * 40) A (40 * 20) A (20 * 10) A (10 * 15) concludes the best order. Algorithm from : computer algorithm Seeker
Arithmetic2
- 用VC可视化平台写的矩阵链乘多段判决算法，并对该算法作CPU运行时间记录。-VC visualization platform written by the multi-chain matrix of the judgment algorithm, and an algorithm for CPU running time record.
chmmbox_1_2
- CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001 Matlab toolbox for max. aposteriori estimation of two chain Coupled Hidden Markov Models. -CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001 Matlab toolbox for max. apo
hmc
- Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo algorithm to sample from the distribution P ~ EXP(-F), where F is the first argument to HMC. The Markov chain starts at the point X, and the function GRAD
CHAIN
- 运筹学中的马尔可夫链算法，很有用，检查可以运行
CHAIN
- 解马尔科夫链CHAIN.C-CHAIN.C
大数阶乘
- 大数阶乘，能计算超大数的阶乘，算法简单易懂，采用数组存储计算结果！本算法也可以改进采用链表存储结果！-majority factorial, which calculates the number of super factorial, the algorithm is simple to understand and use storage arrays results! The algorithm also can be improved using Chain store results!
HMMall
- 马尔可夫过程是一类重要的随机过程,它的原始模型马尔可夫链,由俄国数学家Α.Α.马尔可夫于1907年提出。本程序是对隐马尔可夫模型的一个完整的建模。 -Markov process is one important class of stochastic processes, and its original model of Markov chain, by the Russian mathematician Markov Α.Α. made in 1907. This procedure is
maerkefulian
- 马尔可夫链算法,可以自动输出一段有意义的文-Markov chain algorithm, can automatically output section of meaningful text
project
- 以“一主三从”主从多机通信系统为物理模型，研究应用马尔可夫链建立仿真算法及蒙特卡洛法建立了数学模型，通过将完整的系统元件化，并对每个元件创立各自的状态转移机模型，仿真运行状态，实现了对于这一通信系统的可靠性建模评估。-" One the main three from the" master-slave multi-communication system for the physical model to study the application of Markov cha
Introduction_to_Algorithm
- 常见算法设计的源代码。配合著名的那本“算法导论”。其中主要包括： 归并排序 活动选择问题 矩阵链乘问题 矩阵链乘问题的备忘录解法 逆序对问题 求和问题 装配线问题 最短路径Dijkstra算法和堆操作 -Common algorithm design of the source code. With the well-known that the " Introduction to Algorithms." Which mainly i
gibbs_metropol_sampler
- this r code for Gibbs sampler and Metropolis sampler which are two variants of markov chain monte carlo simulators.-this is r code for Gibbs sampler and Metropolis sampler which are two variants of markov chain monte carlo simulators.
shuxuesuanfa
- 包括分枝定界算法，线性规划单纯形算法，马尔可夫链算法，贝叶斯决策方法，生产计划算法，动态规划的投资问题的C语言解决-Including the branch-and-bound algorithm, linear programming simplex algorithm, Markov chain algorithms, Bayesian decision-making methods, production planning algorithms, dynamic programming i
MC_mont_carlo
- Markov Chain for monte carlo
Fig10_38
- It s about matrix chain algorithm souce code
Matrix-Chain_JAVA
- Matrix Chain Multiplication is perhaps the quintessential example of dynamic programming. The problem can be stated as follows: given a chain <A1, A2,..., An> of n matrices, where for i = 1, 2,...,n, matrix Ai has dimension pi-1 x pi, fully par
random-simulation
- MCMC,short for Markov Chain Mente Carlo, is a good way for random simulation
Markov-Chain
- 马尔可夫链，因安德烈·马尔可夫（A.A.Markov，1856－1922）得名，是数学中具有马尔可夫性质的离散时间随机过程。该过程中，在给定当前知识或信息的情况下，过去（即当期以前的历史状态）对于预测将来（即当期以后的未来状态）是无关的-Markov chain, Yinandelie · Markov (AAMarkov ,1856-1922) got its name, is a discrete time stochastic process with Markov mathematica
matrix-chain
- Matrix Chain Multiplication