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OL.rar
- 可以实现数值分析中的欧拉法、后退欧拉法和改进欧拉法的计算，程序中涉及到拉界面，以及许多控件的使用。,Numerical analysis can be achieved in the Euler, backward Euler and improved Euler s method of calculation, the procedure involved in drawing interface, as well as the use of many controls.
Eigenvalue
- 用QR分解来求矩阵的全部特征值 包括：QR分解，矩阵转置，；矩阵求逆，矩阵相乘，最后迭代得出特征值-With QR decomposition to the full matrix eigenvalue include: QR decomposition, matrix transpose, matrix inversion, matrix multiplication, and finally reached eigenvalue iteration
szfx1
- 数值分析之计算方法与实验1舍入误差与数值稳定性 by java-Numerical analysis and experimental method of calculating the one round-off errors and numerical stability by java
szfx2
- 数值分析之计算方法与实验2：方程求根 by java-Numerical analysis method of calculation and experiment 2: Root equation by java
szfx3
- 数值分析之计算方法与实验3：线性方程组数值解法 by java-Numerical Analysis of calculation methods and experimental 3: Numerical Solution of linear equations by java
szfx4
- 数值分析之计算方法与实验4：插值法 by java-Numerical analysis method of calculation and experiment 4: interpolation by java
szfx5
- 数值分析之计算方法与实验5：曲线拟合 by java-Numerical analysis method of calculation and experiment 5: Curve Fitting by java
szfx6
- 数值分析之计算方法与实验6：数值积分 by java-Numerical analysis and experimental method of calculating 6: numerical integration by java
szfx7
- 数值分析之计算方法与实验7：常微分方程数值解法 by java-Numerical Analysis of calculation methods and experimental 7: Numerical Solution of Ordinary Differential Equations by java
matlab_getstart
- Matlab 学习资料 PDF MATLAB是MATrix LABoratory的缩写，是一款由美国MathWorks公司出品的商业数学软件。MATLAB是一种用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境。除了矩阵运算、绘制函数/数据图像等常用功能外，MATLAB还可以用来创建用户界面及与调用其它语言（包括C，C++和FORTRAN）编写的程序。-Matlab language tutoria MATLAB (matrix laboratory) is a num
MATLAB7_0-teach
- MATLAB (matrix laboratory) is a numerical computing environment and fourth-generation programming language. Developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user int
Main
- 数值分析中改进的高斯消元算法，用Java编程实现-Gauss elimination method
数值分析Java
- 数值分析作业：计算特征值和特征矩阵；QR分解