nscat-3.tar

说明：  这是简绍耦合矩阵的，为多通带的计算方法，可以方便的设计多通带微带滤波器，(This is Jane Shao coupling matrix for the multi-band calculation method, you can easily design multi-band microstrip filter)

高斯拟合程序，采用高斯函数拟合数据，获得拟合高斯函数的平均值和方差。(Gaussian fitting procedure, using Gaussian function fitting the data, fitting Gaussian function to obtain the mean and variance.)

地球物理反问题中带约束的Tikhonov正则化方法的应用(applications of constrained regularization method )

计算岩石表面裂隙宽度并求取其表面粗糙度系数(Calculate the rock surface crack width and strike the surface roughness coefficient)

C#编写的三次样条插值函数，TSS法求解对角矩阵方程函数，插值点函数值计算函数。(prepared by the cubic spline interpolation function, TSS method diagonal matrix equation function, interpolation function point value function.)

说明：  本书是为理工科大学各专业普遍开设的“数值分析”课程编写的教材 . 其内容包括插值与逼近 ,数值微分与数值积分 , 非线性方程与线性方程组的数值解法 , 矩阵的特征值与特征向量计算 , 常微分方程数值解法 . 每章附有习题并在书末有部分答案 ,书末还附有计算实习题和并行算法简介 . 全书阐述严谨, 脉络分明 ,深入浅出 ,便于教学 .(This book is a textbook for the course of "numerical analysis" which is widely offered in various majors of universities of science and engineering. Its contents include interpolation and approximation, numerical differentiation and numerical integration, numerical solution of non-linear and linear equations, calculation of eigenvalues and eigenvectors of matrices, numerical solution of ordinary differential equations. At the end of the book, there are some answers. At the end of the book, there are also a brief introduction of computational practice questions and parallel algorithms. The whole book elaborates rigorously, clearly, thoroughly and shallowly, which is convenient for teaching.)

minmod限制器函数，计算流体力学TVD格式中的开关函数。(minmod limiter function)

针对三维问题，建立四面体单元的有限元方法(Finite element method for establishing tetrahedron element)

fluent关于蒸发相变的很全的C程序，有详细的注释，对于相关专业的人很重要(fluent the evaporation phase transition is full C program, detailed notes, very important for the people of the relevant professional)

计算多项流的好程序，简单好用，计算量小。可以较好的模拟二维的两项变化情况(Calculating a number of streams of the program, easy to use, small amount of calculation. Can better simulate the two-dimensional variation)