利用Gauss两点积分公式，进行数值积分的求解，并看它所具有的精确度。...

FUNCTION ESTIMATION WITH NEWTON CLOSE LOOP and ROMBERG METHOD.-FUNCTION ESTIMATION WITH NEWTON CLOSE LOOP and ROMBERG METHOD.

设计出一个算法，贪吃蛇小游戏怎么做出来的，利用C++语言编写，代码简单，很容易看懂，function [p,ff] = oct3bank(noi);  pi = 3.14159265358979;  Fs = 500000;    %1/(t(2)-t(1));     % Sampling Frequency N = 3;      % Order of analysis filters.  %f=[1.00 1.25 1.60 2.00 2.50 3.15 4.00 5.00 6.300 8.00] ff=[20 25 31.5 40 50 63 80 100 125 160 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000] %ff = ((2^(1/3)).^[0:19]);  % Exact center freq.   p = zeros(1,30); % Design filters and compute RMS powers in 1/3-oct. bands

有限元的分析程序，对于初学有限元在结构中的应用很好用-Finite element analysis program for learning the structure of finite element in the application of good use

Dolfin provide a high-performance linear algebra library

The content is comform as the title, if you have the better code, let me know.thanks.

PCA进行SVD分解的图像压缩它是在MATLAB中实现

largreance插值 迭代法 迭代改善法-largreance interpolation Iterative Improvement Act

此为基于图像配准的傅立叶变换源代码，已精心调试过，请放心使用.-This is the image registration based on the Fourier Transform source code, has been painstakingly debugging, please rest assured that use.

源代码为学生学籍管理系统的设计与开发，可以帮助同学们更好的利用VB软件，并且能在编程过程中给同学们一些启发，仅供参考

书是针对工程上常用的行之有效的算法而编写的C语言函数程序集，在第一版的基础上作了修改和扩充。书中包括了近几年出现的许多新算法。全书分为数值计算与非数值计算两部分。其中数值计算部分的内容包括：线性代数方程组的求解、矩阵运算、矩阵特征值与特征向量的计算、非线性方程与方程组的求解、插值、数值积分、常微分方程（组）的求解、拟合与逼近、数据处理与回归分析、极值问题、数学变换与滤波、特殊函数、随机数的产生、多项式与连分式函数的计算、复数运算；非数值计算部分的内容包括：排序、查找、图形模式下读写屏幕象点、基本图形操作、汉字操作等。-book is widely used in engineering at the effective preparation of the algorithm and C language function suite, on the basis of the first edition was revised and expanded. The book includes the past few years, many of the new algorithm. Topics are divided into the numerical and non- numerical calculation of two parts. These numerical part of the contents include : linear algebraic equations by solving the matrix computation, Matrix eigenvalues and eigenvectors of computing, nonlinear equations and solve equations, interpolation, numerical integration, ordinary differential equations (Group I) solution, fitting and approximation, data processing and back In analysis, optimization, mathematical transformation and filtering, specia