压缩传感重构算法的matlab实现，包含pdf文档的算法描述，对于学习压缩传感理论有很大帮助。

算法导论参考答案全 该书是一本十分经典的计算机算法书籍，与高德纳（Donald E.Knuth）的《计算机程序设计艺术》（The Art Of Computer Programming）相媲美。 《算法导论》由Thomas H.Cormen、Charles E.Leiserson、Ronald L.Rivest、Clifford Stein四人合作编著（其中Clifford Stein是第二版开始参与的合著者）。本书的最大特点就是将严谨性和全面性融入在了一起。

延迟相乘算法计算载波同步的matlab代码，希望可以给大家帮助

"Approximate Dynamic Programming: Solving the Curses of Dimensionality" 介绍了动态规划的算法、理论和应用。是学习动态规划的极佳教材

A new algorithm for resource-constrained

冒泡、快排和插入

Algorithm-fraudar.zip,fraudar算法的包装器,算法是为计算机程序高效、彻底地完成任务而创建的一组详细的准则。

完全可以运行的C++版本的决策树，直接可以copy使用，包括核心的算法，逻辑关系，注释等等。绝对的高质量资源，

作者：Anany Levitin, Maria Levitin 出版日期：October 14, 2011 出版社：Oxford University Press 页数：280 pages ISBN：978-0199740444 文件格式：PDF 书籍简介 While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use of analytical logic to solve problems. This logic extends far beyond the realm of computer science and into the wide and entertaining world of puzzles. In Algorithmic Puzzles, Anany and Maria Levitin use many classic brainteasers as well as newer examples from job interviews with major corporations to show readers how to apply analytical thinking to solve puzzles requiring well-defined procedures. The book’s unique collection of puzzles is supplemented with carefully developed tutorials on algorithm design strategies and analysis techniques intended to walk the reader step-by-step through the various approaches to algorithmic problem solving. Mastery of these strategies–exhaustive search, backtracking, and divide-and-conquer, among others–will aid the reader in solving not only the puzzles contained in this book, but also others encountered in interviews, puzzle collections, and throughout everyday life. Each of the 150 puzzles contains hints and solutions, along with commentary on the puzzle’s origins and solution methods. The only book of its kind, Algorithmic Puzzles houses puzzles for all skill levels. Readers with only middle school mathematics will develop their algorithmic problem-solving skills through puzzles at the elementary level, while seasoned puzzle solvers will enjoy the challenge of thinking through more difficult puzzles.

该项目包含使用遗传算法解决的装箱问题的解决方案。 该项目中的代码是作为2007年南里奥格兰德州联邦大学（UFRGS-巴西）组合优化课程中问题的解决方案而创建的。