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.