Field_ampl_analy

说明：  算法设计第三版，算法设计第三版，算法设计第三版，算法设计第三版(Algorithm Design Third Edition)

一个用于弹性接触分析的边界元fortran源程序(One for the analysis of elastic contact BEM fortran source)

用无网格法计算VAN DE POL 振子(calculate van de pol oscillator by using meshless method)

罚函数法 它将有约束最优化问题转化为求解无约束最优化问题: 其中M为足够大的正数, 起"惩罚"作用, 称之为罚因子, F(x, M )称为罚函数.(hunhefahanshufa)

经典的可编程添加模块的面向对象的有限元程序代码(C++ code for OOFEM based on multi-systems)

fortran cases for BEM

求矩阵奇异分解svd算法，共计4种实现方式，(for SVD matrix decomposition algorithm, for a total of four kinds of achievement,)

Evesen开发的洛伦兹模型耦合集合卡尔曼滤波算法(Lorenz model coupled with ensembled Kalman Filter)

1、根据所给的中国版图数据 绘制显示基于北京54坐标系的经纬度数据 编写兰勃特投影转换程序，转换上述数据，并显示 编写墨卡托投影转换程序，转换上述数据，并显示 同时，要绘制相对应的经纬网格，网格间距5度 2、根据所给的世界版图数据 绘制显示基于WGS84坐标系的经纬度数据 编写墨卡托投影转换程序，转换上述数据，并显示 计算北京(116.4，39.8)到巴黎(2.2, 48.52)的大圆轨迹，并显示 同时，要绘制相对应的经纬网格，网格间距5度(1, according to the Chinese territory given display data drawn based on latitude and longitude data write Beijing 54 coordinate system Lambert projection conversion process, the conversion of the data, and displays the write Mercator projection conversion process, the conversion of the data, and display the same time, Draw the corresponding latitude and longitude grid, the grid spacing of 5 degrees 2, according to the world map rendering display data written to the Mercator projection based on latitude and longitude data conversion program WGS84 coordinate system, the conversion of the data, and displays the calculation Beijing (116.4, 39.8) to Paris (2.2, 48.52) the great circle track and display the same time, to draw the corresponding latitude and longitude grid, the grid spacing of 5 degrees)

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.)