资源列表
GA_Random
- 本算法使用了遗传算法的方法实现了随机数的生成方法。能够比较平均得实现随机数的生成。-The algorithm uses a genetic algorithm to achieve the method of random number generator. Compared to the average achieved in the generation of random numbers.
Vectorquantity
- 优秀的矢量量化源代码,可以很好的应用于图像压缩以及基于内容的图像检索。vc++源代码-outstanding VQ source code can be good for image compression and content-based image retrieval. Vc + + source code
BayersNetwork
- bayes network 的分三角形的算法-bayes network breakdown triangle algorithm
DYDtTongYiChaos
- 程序实现了分数阶统一混沌系统,为分数阶混沌系统在实际中的应用奠定了基础。-program of fractional unified chaotic systems, fractional chaotic system in practical application laid the foundation.
快速排序算法
- 快速排序算法,很好用,用c++编,拷贝在文本里,大家可以参考参考哦.-quick sort algorithm is useful, with c writers, copy in the text, one can refer to Reference oh.
龙格库塔求解微分方程数值解
- 龙格库塔求解微分方程数值解,非常有用的解题方法,一定会用到-Runge - Kutta numerical solution of differential equations to solve, a very useful method of solving problems, we will use
sutra(C++)
- c++经典数值算法源码,相信可以节省你的不少时间.rar-c classical numerical algorithm source code, I believe you can save a lot of time. Rar
count_ptr
- 自定义的智能指针类,可是多个指针共用对象,且不会造成内存泄露的问题-since the definition of smart pointer types, but a number of indicators shared object, and it will not disclose the cause memory problems
carray
- 一个自己定义的数组外包装,这是“使用者自定义stl容器“的一个好例子,在数组之外包装了一层常用的容器界面。-own definition of an array overpack, which is a "user-defined stl containers" of a good example In addition to the array of packaging containers used layer interface.
Electromagnetic_Data_Procession_Matlab
- 大学时候跟导师做的一个暂态电磁场数据分析的程序,用于自动检测和识别波形数据中的脉冲起始时间等参数-University instructors often do with a transient electromagnetic field data analysis procedures, for the automatic detection and identification of waveform data pulse parameters, such as start-up time
Dot_Product
- 计算机图形计算:点乘 英文网页 没代码,更适合于理解其原理和方法和运用-computer graphic terms : point by the English website no code, is more suited to understand the principles and methods of use and
wavelift
- 暂时只支持jpeg2000支持的 cdf97 和spline53 可以这样来测试: x=imread( E:\\study\\jpeg2000\\images\\lena.tif ) % see the decomposition coefficients y=wavelift(x, 1, spl53 ) using spline 5/3 wavelet figure subplot(1,2,1) imshow(x) subplot(1,2,2) imshow(mat2g
