FDTD for optical waveguides.rar

几个多目标求极值的Matlab算法，包括模式搜索法、Rosenbrock法、单纯形法、Powell法、最速下降法、共轭梯度法、牛顿法、信赖域法(Matlab algorithm, several multi-objective extremum including pattern search method, Rosenbrock method, simplex method, Powell method, the steepest descent method, conjugate gradient method, Newton' s method, trust region method)

牛顿插值和Neville插值、Taylor解常微分方程小程序供大家学习。(Newton Interpolation and Neville interpolation, Taylor, Xie Ordinary Differential Equations applet for everyone to learn.)

说明：  该程序适用于GPS接收机定位精度因子DOP值计算(GPS DOP value)

matlab程序—用burg方法计算太阳黑子爆发的周期(the matlab program-the frequency of the sunspot by the method of burg)

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)

根据物理学的毕奥-萨法尔定理，计算环形线圈周围电磁场的强度。。(According to physics, Biot- Safar theorem, calculate the intensity of electromagnetic field around the circular coil. .)

有限体积法求解流动和传热问题的经典源代码(Classic source code finite volume method for solving the problem of flow and heat transfer)

fft code in visual c++

The following is an example of how Microsoft Solver Foundation can be used to solve a constraint satisfaction problem (CSP) like generating a typical Sudoku problem. Sudoku http://www.codeproject.com/Articles/419389/Sudoku-using-Microsoft-solver-foundation In this article I do not attempt to explain everything there is to know about constraint satisfaction problems, but I will go over the concepts in the hope that even if you have never heard of CSP you will still get the idea.

Douglas-Peucker algorithm for a 2-dimensional data with example in matlab.