kkimbook

有限单元法基本原理和数值方法,书籍，供学习参考(The basic principle of finite element method and numerical methods)

lmmse算法的仿真实现，在相关矩阵的求解上比较有技巧性(lmmse Simulation Algorithm)

文件1.f90：生成翼型naca0012的椭圆网格，并计算流场，给出壁面压力分布 文件2.f90：maccormack方法解一维burger s方程 文件3.f90：解一维laval管流动，其进出口均为亚音速，喉道后部有激波(File 1.f90: generate the airfoil naca0012 elliptical rotary cell, and calculate the flow field, given the wall pressure distribution file 2.f90: maccormack method to solve the burger' s equation, one-dimensional file 3.f90: solution of one-dimensional laval tube flow, its progress exports are subsonic, the back of the throat have shock)

有限元编程做网格划分的，对于从事有限元分析的比较有用(Programming the finite element mesh to do the, for finite element analysis of the more useful)

二维泊松方程的定解问题：用5点菱形异步迭代格式求解泊松方程，h=5/4 ,误差s=1e-6 (Differential method for Poisson equation)

说明：  利用不动点迭代和牛顿迭代求解非线性方程解的理论(Theory of Solving Nonlinear Equations by Fixed Point Iteration and Newton Iteration)

实现多项式样条利率期限结构参数求解，方面做国债研究人员借鉴(Polynomial spline interest rate term structure parameters for solving aspects of the bond researchers draw)

利用克拉茂克郎尼变换，求得表面等离子体相位虚数部分再不同波长或入射角度的值(estimation of the imaginary part via Krammers-Kronig relarions)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s method between a method that takes only a first derivative information, but to overcome the slow convergence of the steepest descent method shortcomings, but also avoid the need to store Newton and computing the inverse Hesse matrix and disadvantages, conjugate gradient method is not only to solve large linear equations of the most useful methods, large-scale nonlinear optimization solution is the most efficient algorithms)

埃特金加速法,一个数值分析中的算法,大家先看看哦(Aitken acceleration method, a numerical analysis of the algorithm, we look at the flash open her cloak)