frft

大量的有限元法求解偏微分方程的实例程序，程序里有详细的解释语句(lot of finite element method PDE examples of procedures, procedures are detailed statement of explanation)

线弹性模型，可以对一般的弹性体通过abaqus进行验证使用(Linear elastic model)

基于凸优化算法的矩阵填充稀疏矩阵理论的Matlab实现。(Based on convex optimization algorithm of matrix fill sparse matrix theory Matlab achieve.)

含约束的优化问题求解案例，算法简单，求解很方便实用(Constrained optimization problem solving case, the algorithm is simple, easy to solve, practical)

用fortran语言编写的传统矩量法求解立方体的RCS的程序。(The fortran language prepared by the traditional method of moments for solving the cube RCS program.)

非线性算法合集，包括牛顿拉夫逊法，Broyden拟牛顿法，弧长法，割线法。每种算法都包含有线性搜索迭代改进。(Nonlinear algorithm collection, including Newton Raphson, Broyden quasi-Newton method, arc-length method, secant method. Each contains a linear search algorithms for iterative improvement.)

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)

使用四阶Runge-Kutta算法解决两个一阶微分方程组，并输出到文件。(solve a two cupled first order differential equations)

Computer Arithmetic (press 2000)

三维重力梯度正演程序，可根据剖分模型计算多个场分量，绝对原创！(3D Gravity Gradients calculating )