Fortran_Method_1

计算fluent相变的udf模型，包括气相到液相，液相到气相的双向传递。(Calculate the udf model of fluent phase transition)

c语言，三角函数 对数函数 数值计算 举例说明，混合计算数值计算的C语言实现(c calculator trigonometric function logarithmic function numerical calculation)

说明：  通过建立车辆运动学模型，使用MPC算法模拟仿真导引车辆达到指定点(Through the establishment of vehicle kinematics model, the MPC algorithm is used to simulate and guide the vehicle to the designated point.)

结合粒子群优化算法和和声搜索算法的优点，有效将群智能思想和随机全局搜索相融合，在几个函数优化问题中得到了验证 (Combining particle swarm optimization algorithm and harmony search algorithm advantage, effective will swarm intelligence thought and random global search phase fusion, in several function optimization problem has been proved )

说明：  该文件是用C语言实现快速傅里叶变换的源代码，需要的朋友快下载(The document is used C language to achieve fast Fourier transform of the source code, need friends fast download)

该程序实现的是计算器功能，包含简单的加减乘除，以及取余、求倒等功能计算。(The program is a calculator function, contain simple addition and subtraction, multiplication and division, and modulo, seeking poured functions calculation.)

将一些标准数值与非数值算法集中封装在几个DLL中,需要用时可在VB/Delphi/C#中分别调用,这里提供了3个小程序,分别用于线性方程组求根、计算行列式的值、矩阵求逆。(Some standard numerical and non-numerical algorithm focus on packaging in several DLL, it is necessary to use when in VB/Delphi/C# Call, respectively, this provides three small programs, respectively, for the roots of linear equations, calculation of the value of the determinant, matrix inversion.)

程序用Fortran95标准，给出了双共轭梯度法求解超大型稀疏矩阵的子程序。还给出了一个例子，例子的数据用索引存储了维数将近10万的对称稀疏正定矩阵。(Using Fortran95, a method of Biconjugate gradient for super linear sysem is provied. In addition, a example with the storage type of row-column index is also provide for test these subroutines. )

用C++来实现NEWTON迭代法解非线性方程算法数值分析，是数值分析里典型的一个算法。(In C++ to achieve NEWTON iterative numerical algorithm for solving nonlinear equations, numerical analysis is in a typical algorithm.)

gmres 方法。视图求解线性方程组A*x=b的解x。nXn的稀疏矩阵A必须是方程且应是大型稀疏矩阵。列向量b的长度必须为n。(gmres method. View solving linear equations A* x = b the solution x. nXn sparse matrix A must be equation and should be large sparse matrix. The length of the column vector b must be to n.)