PolynomialCurveFitting

粘弹性人工边界的实现，在abaqus中快速施加粘弹性人工边界(Realization of viscoelastic artificial boundary, imposed by rapid visco-elastic artificial boundary in abaqus)

巨正则系综蒙特卡罗算法的源程序；可以用来进行吸附等分子模拟；最大的好处在于可以插入或删除原子(Grand canonical ensemble Monte Carlo algorithm source can be used for adsorption, molecular simulation biggest advantage is that you can insert or delete atom)

全面介绍有限元网格生成算法的英文教材，可以作为网格生成算法的编程资料(finite element mesh generation has not been taken as a formal subject of teaching in universities,as it encompasses several disciplines including classical geometry, computational geometry and topology, finite element method, data structures and algorithms, computer programming and, to a certain extent, even computer graphics.)

求给定矩阵的逆矩阵和行列式值。已经经过测试，与matlab做了对比，计算结果可靠(Seeking a given matrix inverse matrix and determinant value. Has been tested with Matlab contrast, reliable calculation results)

说明：  c语言编写的高效用LU分解法求任意维数的矩阵的逆，它是经典书籍《算法导论》（第二版）中矩阵求逆的c语言实现。 (The algorithm of matrix inverse is based on LU decomposition which is proposed by the book of introduction to algorithm (second edition).)

分别对beta估计值模拟分析、非中心对称分布、卡方拟合优度检验、筛选抽样随机数抽取、有限样本性质模拟这5个内容进行了编程说明(The five contents of beta estimation simulation analysis, non-centrosymmetric distribution, chi-square goodness-of-fit test, random number extraction of screening sampling and Simulation of finite sample properties are explained by programming.)

试试你的运气。随机输入0到9之间的四个数，看看你能得到多少公牛，多少母牛，嘿嘿。(Try your luck. Random input between 0 to 9 the number of four to see how much bull you can get, how many cows, hehe.)

说明：  分数低阶协方差谱的MATLAB程序，含4种计算分数低阶协方差谱的估计方法(Fractional lower order covariance spectrum MATLAB program, including four kinds of calculation of fractional lower order covariance spectral estimation method)

计算汉克尔函数，包括复数变量和任意阶数。对初学者很有帮助。(Calculate Hankel functions, including complex variable and arbitrary order. Useful for beginners.)

三角形网格上的线性有限元方法求解Helmholtz问题，多项式重构以及Richardson外推(solve the Helmholtz equation with robin boundary condition on triangulation mesh, PPR and Richardson extrapolation)