VLE_NRTL

一种继续概率学习矩阵的优化算法，优化精度和计算时间都很不错，是目前基本最好的启发式算法，里面有测试函数(A continuing study probability matrix optimization algorithm to optimize the accuracy and computational time is very good, the best is the basic heuristic algorithm, which has test function)

对大量数据的差值与拟合算法的Matlab实现，基于多用思想(The difference of large amounts of data fitting algorithm of the Matlab implementation, based on multi-thinking)

最小二乘法数据处理软件，翻遍计算的程序，应用于各种优化算法(math caculateor)

学习用UMAT程序，用于abaqus隐式计算的Johnson-cook模型，有所修改(Learn UMAT program for abaqus Johnson-cook implicit calculation model, some modifications)

根据给定的等距结点上的函数值与一阶导数值, 用埃尔米特等距插值公式计算指定插值点处的函数值。(According to the given equidistant nodes function value with a first derivative values, with equidistant interpolation Hermite interpolation formula specified function value at the point.)

该程序用于形成节点阻抗矩阵，按程序要求格式输入线路数据linedata，Zbuild（linedata）形成节点阻抗矩阵(The procedures used for the formation of the node impedance matrix format input line data linedata procedural requirements of Zbuild (linedata) node impedance matrix)

这是SIR微分方程模型对初值问题的求解和作图(This is the SIR model differential equations to solve the problem of initial value and mapping)

基于经典的增广拉格朗日乘子法, 对求解一类带有特定结构（主要是针对凸规划）的非光滑等式约束优化问题, 我们提出、分析并测试了一个新算法. 在极小化增广拉格朗日函数的每一步迭代中, 该算法有效结合了带有非单调线性搜索的交替方向技术, 我们建立了算法的收敛性, 并用它来求解在带有全变差正则化的图像恢复问题.(Based on the classic augmented Lagrangian multiplier method, we propose, analyze and test an algorithm for solving a class of equality-constrained nonsmooth optimization problems (chiefly but not necessarily convex programs) with a particular structure. The algorithm effectively combines an alternating direction technique with a nonmonotone line search to minimize the augmented Lagrangian function at each iteration. We establish convergence for this algorithm, and apply it to solving problems in image reconstruction with total variation regularization.)

说明：  吉尔数值算法，求解刚性微分方程组，稳定好，收敛好(Gill numerical algorithm, good stability and convergence for solving rigid differential equations)

多项式的加减法运算，输入的多项式带有未知数x和数字(Polynomial addition and subtraction calculations)