FFT_16pt

一般线性规划问题具有线性方程组的变量数大于方程个数，这时会有不定的解。当决策变量个数n和约束条件个数m较大时，单纯形法是求解线性规划问题的通用方法。 从线性方程组找出一个个的单纯形，每一个单纯形可以求得一组解，然后再判断该解使目标函数值是增大还是变小了，决定下一步选择的单纯形。通过优化迭代，直到目标函数实现最大或最小值(In general linear programming problems, the number of variables with linear equations is greater than the number of equations. When the number of decision variables n and constraint number m are large, simplex method is the general method for solving linear programming problems. Find out one by one from the linear equations of the simplex, each a simplex can get a set of solution, and then concludes that the solution is the objective function value increases or smaller and decided to choose the next simplex. By optimizing iteration, until the target function achieves the maximum or minimum value.)

基于最小二乘法的抛物面拟合，内含有模拟数据和真是数据供参考。(Contains analog data based on the method of least squares parabolic fitting, and is really data for reference.)

进行多元分位数回归计算的程序包，可以显示很多回归参数。(A package that performs multiple quantile regression calculations can display many regression parameters)

姿态更新算法之一：方向余弦法,直接求解姿态矩阵微分方程(Attitude updating algorithm: direction cosine method, the direct matrix differential equation solving attitude)

使用Y矩阵来综合得到耦合矩阵M中各元素的matlab源代码(The Y matrix to obtain an integrated coupling matrix M of each element matlab source code)

用fortran语言读取NC格式的数据,与大家分享，希望能够共同进步哈，谢谢(Used fortran language to read NC data format to share with you, hoping to make progress together Ha, thank you)

program array 1 dimensi

随机有限元理论教材，是学习随机有限元及可靠度理论的不错东东 (Stochastic finite element theory of teaching materials, are studying stochastic finite element and reliability theory is true Dongdong)

在第一个图像中的每个描述符，选择它的匹配到第二个图像。(For efficiency in MATLAB, calculating dot multiplication between unit vectors is faster than Euclidean distance. Please note that: The ratio of attention to angle (the cosine of dot product of unit vector) is the approximate value of the ratio of Euclidean distance of small angle.)

说明：  使用matlab进行 有限元计算，内含多种方式方法，欢迎交流讨论(Finite element calculation using matlab)