ROE求解器fortran编程

计算材料学中用相场法模拟合金凝固相变的程序(Computational Materials Science using phase-field simulation of solidification phase change process)

计算给定序列的沃什(Walsh)变换序列。(Calculation of a given sequence of Vas (Walsh) transform sequence.)

说明：  此代码包括牛顿法和梯度下降法的实现过程，最优化以及算法中常见的问题解决方式(This code includes the process of Newton method and gradient descent method)

应用遗传算法做电网规划，把遗传算法应用于输电网络规划，提出了基于遗传算 法的输电网络规划模型，以新建线路的投资费用和系统年运 行费用之和最小为目标函数，建立了输电网络规划的数学模型。该模型还考虑了“N-1”事故检验，使得规划方案更加合理。以Garver-6节点系统为例进行优化规划(The application of genetic algorithms to do network planning)

最新版的oofem 可以自己加入一些材料模型 版本更新速度也算快(latest version of oofem )

溃坝模型，采用无网格法模拟溃坝情况，简单快捷(Break model, the use of non-grid method to simulate dam case, simple and quick)

十四节点潮流计算程序，采用了经典的牛拉法潮流计算方法 配以注释(14 nodes trend calculation procedure, using the classic cattle Rafah flow calculation method together with the comments)

谐波检测的RELAX算法，优于FFT,能够对幅值，频率，相位进行有效估计(an algorithm for estimation of sinusoid parameter)

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)

代码为偏最小二乘法计算过程的代码，主要部分都有中文解释(Code for the calculation process of partial least squares method)