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dxvuh
- Prediction Error Method for Parameter Identification - the idea of relaxation, Ensure accurate communication is learning a good helper, Classic GLCM texture calculation method.
mq612
- Prediction Error Method for Parameter Identification - the idea of relaxation, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Achieve canonical correlation analysis.
wnymg
- Add noise processing, Accuracy can reach 98%, Prediction Error Method for Parameter Identification - the idea of relaxation.
nang_im74
- Using common plane wave expansion method, Partially achieved tracking speed iterative relaxation algorithm, Filtering summation way broadband beamforming.
超松弛插值与改进欧拉法 龙格库塔法
- 拟合超松弛线性插值，改进欧拉法与龙格库塔算法(Fitting the relaxation linear interpolation, the improved Euler method and Runge Kutta algorithm)
SOR
- 超松驰迭代法，用于快速求解线性方程组，可按每行注释理解算法原理，可自行调整松弛因子（一般建议1.2左右有良好效果）(The super relaxation iteration method is used to solve the linear equations quickly. It can understand the algorithm principle according to each row annotation, and can adjust the relaxation f
自用主图公式等
- 修改了一下笔的算法，对极个别特殊结构图形放宽笔的限制（小于4根也成笔）。使其图形结构更利于分析。 升级方法：仅需更新mzjc.dll，其他无需更改。(Modify your pen algorithm, very few special structure relaxation limit graphics pen (less than 4 root as the pen). Make its graphic structure more favorable for analysis. Upgr
迭代法
- Newton迭代法；列主元Gauss消去法；逐次超松弛迭代法；GaussSeidel(Newton iterative method; column principal element Gauss elimination method; successive super relaxation iterative method; GaussSeidel)
基于有限差分法的二维边值问题的数值分析
- 1. 在matlab中分析基于分离变量法的解析解； 2. 利用简单迭代法求解，与解析法结论对比，分析求解结果的精确度。分析过程至少包括：在网格尺寸为0.1 m和1 m两种条件下，两次迭代差值最大为10-10时的分析结论； 3. 利用超松弛迭代法分析，选择松弛因子，分析其对收敛速度（即迭代次数）的影响，并确定最优值。分析过程至少包括：在网格尺寸为0.1和1两种条件下，两次迭代差值最大为10-10时，迭代次数随松弛因子的变化，得到对应的最优松弛因子，与经验值（课本165页式子3.7.15）进行