数值计算中SOR迭代法的Matlab程序

VB的函数体及优化包括0.618搜索、Brent不导数法、Brent导数法、多函数Hill单纯形法、多函数作为准则

对数回归方程 LogarithmRegress.cs 方程模型为 Y=a*LnX+b public override double[] buildFormula() 得到系数数组，存放顺序与模型系数相反，即该数组中系数的值依次是b,a。 public override double forecast(double x) 预测函数，根据模型得到预测结果。 public override double computeR2() 计算相关系数（决定系数），系数越接近1，数据越满足该模型。 -Logarithmic regression equation LogarithmRegress.cs equation model for Y = a* LnX+ Bpublic override double [] buildFormula () get coefficient array, the storage order and model coefficients contrary, that is, the array is followed by the value of coefficient b, a. public override double forecast (double x) prediction function, according to the results of model prediction. public override double computeR2 () calculated the correlation coefficient (determination coefficient), coefficient of the closer one, the data satisfy the model more.

MELP定点算法，PC机上实现，2.4kbps的低码率算法，希望对大家有用，包括了自带清浊统计 ，LPC等子函数，完整的MELP算法。算法亲测有用，希望大家采纳

dda算法是计算机图形学的基本算法，非常实用，建议大家用。可以画直线-dda algorithm is the basic algorithm in computer graphics, very useful, it is recommended by everyone. Can draw a straight line

采用了基本的蚁群算法来求解0-1背包问题，该算法不仅可以对0-1背包问题进行求解，还可以对多维背包问题进行求解。-Using the basic ant colony algorithm to solve the 0-1 knapsack problem, the algorithm not only for the 0-1 knapsack problem can be solved, but also multi-dimensional knapsack problem can be solved.

猜数字，是一个VB数值计算类程序，程序可以让你输入一个数字，猜错了可以继续猜-viewing, VB is a numerical type of proceedings, procedures can let you input a number of wrong guess can continue

信号傅立叶变换的幅度图和频谱图的示例 信号傅立叶变换的幅度图和频谱图的示例-signal Fourier transform spectrum range map and the map of the signal sample rate Fourier Transform map and the map of the sample spectrum

求解n维具有不等式约束优化问题的最优解-solving n-dimensional inequality constrained optimization with the optimal solution

ACM题目，实现两个大数的相乘，题目详见http://acm.zju.edu.cn/show_problem.php?pid=1272-ACM topic, the two realize the multiplication of large numbers, see the topic http://acm.zju.edu.cn/show_problem.php?pid=1272

这是关于支持向量机的工具箱。里面包括很多目前比较流行的工具箱的源代码文件-This is on the Support Vector Machine Toolbox. Inside, including many current popular toolbox source code files