mat_disperse

甲烷的19步简化反应机理文件，FORTRAN语言编写反应速度(ch4 reaction rate)

《计算理论导引》(作者)[美] Michael Sipser(译者)张立昂 王捍贫 黄雄 机械工业2000年2月第1版.pdf(Computational Theory，(Author) [America] Michael Sipser (translator) Zhang Li Ang Wang Hanpin Wong Hung Machinery Industry in February 2000 1st edition. Pdf)

Compaq Visual Fortran Error Messages，对于利用CVF编程的programmer是本很好的对照手册。(Compaq Visual Fortran Error Messages, programming, programmer for the use of CVF is a very good control of the manual.)

数值方法的5个重要的算法： 1.[Dirich.m] 求解拉普拉斯方程的狄利克雷方法. 用于偏微分方程的数值解 2.[Hamming.m] 汉明方法是用来修正微分方程的多步预测。 3. [Milne.m] 米尔恩 - 辛普森差分方程求解方法，用于预测校正方法。 4. [Rkf45.m]龙格 - 库塔 - 沃尔伯格错误控制和步骤的方法求解微分方程的近似解 5.[Romber.m]著名的龙贝格积分源代码。计算结果存在并显示为下三角矩阵。(Numerical Methods in five of the more important algorithms: 1. [Dirich.m] to solve the Laplace equation Dirichlet method for the numerical solution of partial differential equations 2.[Hamming.m] Hamming method is the multistep forecast corrected differential equations. 3. [Milne.m] the Milne- Simpson method as a differential equation solver used forecast correction method. 4. [Rkf45.m] Runge- Kutta- Wahlberg error control and step method for solving differential equations approximate solution 5. [Romber.m] the famous Romberg integral source code numerical integration, the presence of computable results show a lower triangular matrix.)

同伦算法解非线性方程组，构造不动点问题,并从不同的初始点出发运行程序。(To solve nonlinear equations with homotopy algorithm，constructing a fixed foint progrem.and from the different starting point to run the program. )

weno计算阶跃函数 时间离散采取三阶RK法；使用五阶WENO方法计算函数在[-1，1]内的数值解。(weno calculation step function)

数值分析中运用matlab用hermit插值多项式逼近函数(Numerical analysis using matlab function hermit interpolation polynomial approximation)

求实对称矩阵的特征值特征向量，内有读入数据文件。(Realistic symmetric matrix eigenvalue eigenvector, there are read into the data file.)

QR分解法是目前求一般矩阵全部特征值的最有效并广泛应用的方法，一般矩阵先经过正交相似变化成为Hessenberg矩阵，然后再应用QR方法求特征值和特征向量。它是将矩阵分解成一个正规正交矩阵Q与上三角形矩阵R，所以称为QR分解法,(QR decomposition )

说明：  资源共享两阶段dea模型matlab实现(Two stage DEA model of resource sharing based on MATLAB)