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zong-he-pai-xu 利用随机函数产生N个随机整数
- 利用随机函数产生N个随机整数(20000以上),对这些数进行多种方法进行排序。 至少采用三种方法实现上述问题求解-Generated using random function of N random integers (20000), the number of these sort a variety of methods. At least three ways to achieve these problem-solving
Professor-Lu-Wusheng-lecture
- 陆吾生教授是加拿大维多利亚大学电气与计算机工程系的教授。此课件为其在国内大学短期精品课程的课件。包含最优化问题求解,压缩感知方法及其在稀疏信号和图像处理中的应用(压缩、重构、降噪等)。-Professor Lu Wusheng University of Victoria, Canada Professor of Electrical and Computer Engineering. The courseware for the University in the domestic short
dpll
- 该程序实现了用dpll对可满足问题的求解,-The program achieved the right to meet with dpll problem solving,
Compressive_Sensing
- lp范数最小化求解的问题,关于压缩感知的最新文档-lp-norm minimization problem solving, perception of the latest documentation on the compression
Image2Html
- 内容包括:解线性代数方程组,插值,数值积分,特殊函数,函数逼近,特征值问题,数据拟合,方程求根和非线性方程组求-Include: solving linear algebraic equations, interpolation, numerical integration, special functions, function approximation, eigenvalue problem, the data fit the equation Roots and nonlinear eq
1428
- 是一个杭电的解题报告,如果有兴趣的话,大家可以下载看看。-Hang power is a problem solving report, if interested, you can download to see.
A-REMARK-ON-COMPRESSED-SENSING
- 一篇关于压缩感知的经典文章,压缩感知(Compressed sensing,简称CS,也称为Compressive sampling)理论异于近代奈奎斯特采样定理,它指出:利用随机观测矩阵可以把一个稀疏或可压缩的高维信号投影到低维空间上,然后再利用这些少量的投影通过解一个优化问题就可以以高概率重构原始稀疏信号,并且证明了这样的随机投影包含了原始稀疏信号的足够信息。-A classic article on compressed sensing, compressive sensing (Comp
ANAFDLLI
- Segmentation of structure in medical images is an important research topic. It has applications in patient diagnoses, image-guided surgery, and medical data visualization. One approach to solving this problem is the use of active contours or \s
PSO--Knapsack_Problem
- PSO Approach For Solving Knapsack Problem-PSO Approach For Solving Knapsack Problem
NGPM_v1.4
- 适应c语言今次那个编写的源代码程序,用于解决多目标优化问题,-This time to adapt to the c language source code written procedures for solving multi-objective optimization problem,