SpectrumDB

关于泽尼克矩的应用于二维图形文件的搜索。(Zernike Moment)

％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法， ％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵， ％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。 ％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解( Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution)

Bookmark // // ImageAndTextCell.h // SimpleTreeController // // Created by System Administrator on 7/13/11. // Copyright 2011 __MyCompanyName__. All rights reserved. //

高速公路情报板发布系统，支持三思，丰海等品牌；支持F板、门架等类型的情报板。支持单设备和多设备批量发布。

avr dude programing sofware

说明：  

说明：  ay emulator5 code in c language

C++学生综合管理系统（图形界面的，有C++全部代码，可以立即运行），适合初学者

练习1：查找内存错误 练习2：阅读书籍高质量ç 编程指南.PDF林锐（林锐）P95，回答问题4。 练习3：阅读代码sizeof.rar。不运行它，它的分析和写入输出。(Practice 1: Finding Memory Bugs Practice 2: Read book 高质量C编程指南.pdf  by Lin, Rui(林锐) P95, answer question 4. Practice 3: Read the code in sizeof.rar. Without running it, analysis it and write the output.)

复化辛普森公式积分的计算以及运用的编程代码(Complex Simpson equation integral computation and the use of programming code)