潮流计算

TSP问题是经典的寻优问题 也是人工智能里一个重要的问题 我编写的程序主要是用蚁群算法来解决这个问题。蚁群算法是人工智能里用来寻优的重要算法 由于蚁群算法的优点使得TSP问题能够实现。 (The TSP problem is a classical optimization problem is also an important problem in artificial intelligence programs written in my main is to use ant colony algorithm to solve the problem. Ant colony algorithm is used in artificial intelligence (ai) optimization algorithm is important due to the advantages of ant colony algorithm can achieve the TSP problem.)

包括：使用控制变量蒙特卡洛法和一般蒙特卡洛法的欧洲期权看涨价格程序；使用蒙特卡洛计算定积分；使用B-S公式计算期权价格。 ( Including: European call options price procedure using control variable Monte Carlo method and general Monte Carlo method using Monte Carlo calculation of definite integral use the B-S formula to calculate the price of option.)

说明：  对每一个经DCT变换后的8*8矩阵先进行量化再做huffman编码，从而实现图像压缩。(By DCT for each 8* 8 transform matrix to quantify the first do huffman coding, in order to achieve image compression.)

卷积码是一种有记忆的编码，这里提供了卷积码的维特比译码函数(convolutional code is a kind of code memory, it provides Convolutional Codes Viterbi decoding function)

LSM程序，要的拿走，不要也给好评。谢谢了 朋友们(LSM program, away, do not want to praise. Thank you friends)

克里格法（Kriging）是地统计学的主要内容之一，从统计意义上说，是从变量相关性和变异性出发，在有限区域内对区域化变量的取值进行无偏、最优估计的一种方法；从插值角度讲是对空间分布的数据求线性最优、无偏内插估计一种方法。(Kriging (Kriging) is one of the main geostatistics, statistically speaking, is the variable correlation and variability within a limited area of the value of regionalized variables unbiased, best a method for estimation speaking the perspective of a data interpolation spatial distribution of solving linear optimal, unbiased estimate of the interpolation method.)

windmill driven by PMSG and rectifier

JUST FOR FUN....THIS MODEL JUST EXPOSES MY FAVORITE CUNT S PROGRAMMING SKILLS...SHE REALLY IS A BBOB WHEN IT COMES TO PROGRAMMING

rbf神经网络程序，能够进行函数拟合等功能(rbf neural network )

优化的模糊熵Code for computing approximate entropy for a time series(Fuzzy Entropy )