bhattacharyya

共轭梯度法求解凸二次规划，代码由C语言开发，老外编写的程序，很值得一读。(Conjugate gradient method for solving convex quadratic programming, code generated by C language development, foreigners prepared program, it is worth reading.)

贤哥的矩阵分析与应用习题解答，答案在手，前途永久。(Shane matrix analysis and application, the answer is in hand, the future permanent.)

Computer Arithmetic (press 2000)

说明：  用em算法估计高斯混合模型参数，matlab代码(Estimation of Gaussian mixture model parameters by EM algorithm)

ABAQUS中用户材料子程序UMAT的开发主要解决两方面的问题：本构模型的建立和积分算法的选择。 本文主要研究非线性材料的UMAT实现方法，并重点研究其迭代算法部分，目前，用户材料子程序UMAT的迭代算法主要是常刚度法，常刚度法的优点在于算法原理较简单，程序编写较方便，缺点是当遇到复杂非线性材料时，其迭代次数较多，收敛速度也较慢，在这个情况下，本文采取的是一种迭代次数较少且收敛速度较快的切线刚度法，具体就是采用FORTRAN语言编制了基于Von-Mises模型的接口程序,并采用切线刚度算法，通过与ABAQUS自带本构关系计算的结果相比较，验证其正确性。(This paper studies the user subroutine UMAT of ABAQUS development methods, the use of FORTRAN language isotropic hardening material model of the interface program, studied the effects of such material is extremely elastic-plastic constitutive relation method. This article UMAT tightly around the secondary development of technology, the first principle of its interface detail, and then for the theory of nonlinear finite element incremental stiffness of the regular tangent stiffness method and the theory of algorithms to do an in-depth analysis of deduced a regular tangent stiffness and rigidity of the law of the specific expression of algorithm theory, and then the preparation of the two algorithms, respectively, of the UMAT program, and finally the establishment of a specific model checking, bringing with ABAQUS elasto-plastic constitutive relation of the calculated results compared to verify the correctness of the two.)

本程序是基于非等距节点的正交多项式的最小二乘法拟合算法，该算法已经在vc++6.0下调试通过，经多次验证，本算法的拟合误差较小。(This procedure is based on equidistant nodes of non-orthogonal polynomial least squares fit algorithm, which has been in vc++6.0 through debugging, after repeated verification, the algorithm of fitting error is small.)

系统辨识与自适应Matlab仿真程序 庞中华，崔红 编著(Matlab CODE)

这是一个最最简单计算器，提供给大家参考一下(dadasddasdasd fafdsafasfafad)

采用 Lax-Wendroff算法计算非粘Bergers方程(nonviscous Burgers equation, Lax-Wendroff method.)

重力异常正演代码，请好好使用它。帮助学习。。。。(Gravity anomaly forward code, please use it well. Help learn)