Runge-Kutta

abaqus子程序学习资料，欢迎大家下载学习，共同讨论~(ABAQUS subroutine learning materials)

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)

提取nastran“.f06”结果中的节点频响函数数据，可简单修改提取模态频率和 其它数据(Extract nastran, " f06" results in the the node frequency response function data, can be simple modification to extract the modal frequencies and other data)

贝叶斯分类实验 模式识别课程实验所用的源程序(Bayesian classifier experimental pattern recognition programs used in the experimental program)

罚函数法 它将有约束最优化问题转化为求解无约束最优化问题: 其中M为足够大的正数, 起"惩罚"作用, 称之为罚因子, F(x, M )称为罚函数.(hunhefahanshufa)

本程序可以实现在交错网格条件下的三维有限差分正演模拟(This procedure can be achieved under the conditions of the staggered grid finite difference forward modeling)

说明：  使用fortran编写的无网格（光滑质点流体动力学）SPH算法(using FORTRAN prepared by the non-grid (smooth particle hydrodynamics) SPH algorithm)

膜渗透 FUENT UDF 气液两相流 (Gas-liquid two-phase flow membrane permeation FUENT UDF)

music高阶谱分析算法，IDW距离反比加权方法，BP神经网络用于函数拟合与模式识别。( music higher order spectral analysis algorithm, IDW inverse distance weighting method, BP neural network function fitting and pattern recognition.)

几个kalman滤波的例程 适合初学者使用 并有优化建议(Several kalman filter routines suitable for beginners to use and has optimization tips)