intenzityfactors

ejercicio numero uno de icarnegie mellon university

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。(Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for )

该代码实现MI_graph算法来实现数据挖掘中多示例机器学习的示例分类过程。(This function is the main function for calling migraph method to use this function, LibSVM should be available.)

利用动态惩罚因子法对多学科协同优化方法进行改进，并用具体的一个算例进行了验证(Using dynamic penalty factor multidisciplinary collaborative optimization method to improve, and the specific example)

一个二维的fdtdc++编写的程序，较完整，带有pml边界条件。感兴趣的可以下载看看。(A two-dimensional fdtdc++ preparation procedures, more complete, with pml boundary conditions. Interested can download to see.)

说明：  量子力学相关内容的matlab模拟演示，包括内容很全，做了方便的用户界面(Quantum mechanics-related content of the matlab simulation demonstration)

recursive least squares (RLS) with forgetting factor

matlab程序，PM标准扩散源码，好不容易才找到的(matlab program, PM standards for the proliferation of source code, hard to find the)

％精细积分MATLAB程序 ％在钟万勰院士最新书上的原代码( Precise integration procedure MATLAB Zhong Wanxie academician in the latest book on the original code)

该程序实现了模式识别的kmeans聚类。(The program implements a pattern recognition kmeans clustering.)