Algorithms of Oppression How Search Engines Reinforce Racism 英文epub 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

Computational Geometry An Introduction Through Randomized Algorithms[Ketan Mulmuley] 计算几何 随机算法

高清pdf文件，较少聚类分析的算法及应用，2014年出版，经典参考资料

作者: Thomas H. Cormen / Charles E. Leiserson / Ronald L. Rivest / Clifford Stein 出版社: The MIT Press 出版年: 2009-7-31 页数: 1312 定价: USD 92.00 装帧: Hardcover ISBN: 9780262033848 内容简介 · · · · · · 　　Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. 　　The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, and substantial additions to the chapter on recurrences (now called "Divide-and-Conquer"). It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many new exercises and problems have been added for this edition. 　　As of the third edition, this textbook is published exclusively by the MIT Press.

Books 基于 MATLAB 和 Simulink 的书籍 Written for professionals, Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms provides comprehensive coverage of inverse synthetic aperture radar (ISAR). After providing the fundamentals for ISAR imaging, the book gives detailed procedures for ISAR imaging with associated MATLAB code. Topics include imaging systems, electrical engineering, radar signal processing, and remote sensing.

用遗传算法实现二进制背包问题。 求解器的输入（KnapSackGA.java）是一个名为init.txt的文件，该文件的每一行包含以下内容： 项目数（例如7） 每个项目的值（以空格分隔）（例如1 2 3 4 5 6 7） 每个项目的重量（以空格分隔）（例如14 11 10 13 12 9 8） 背包最大尺寸（例如70） 人口规模（例如50） 世代数（例如100） 交叉概率（例如0.6） 突变概率（例如0.015）

Astar_Mahattn 如何修改墙体来限制路线？ 打开mainControl.java， 然后你就可以看到一系列前缀为wallShape的protected属性。你可以参照原有代码来修改或创建新的墙体。然后在内部类Monitor里面写一段wallShape.add()即可。 如何阅读代码？ 直接阅读mainProces.java。这是所有的操作步骤。 How to change the organazation of walls? Open mainControl.java, then you will see a list of protected atributes named wallShape#. And you can create your own walls or alter the old walls by imitating the code. After that,

Algorithms Illuminated (Part 2): Graph Algorithms and Data Structures (Volume 2) By 作者: Tim Roughgarden ISBN-10 书号: 0999282921 ISBN-13 书号: 9780999282922 Edition 版本: First 出版日期: 2018-08-05 pages 页数: (222 ) $17.99 Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject for anyone with at least a little programming experience. The exposition emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details—like a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. The book includes solutions to all quizzes and selected problems, and a series of YouTube videos by the author accompanies the book. Part 2 of this book series covers graph search and its applications, shortest-path algorithms, and the applications and implementation of several data structures: heaps, search trees, hash tables, and bloom filters.

基于物品的协作过滤推荐算法 Item-Based Collaborative Filtering Recommendation Algorithms.pdf

Compressive Sensing Recovery Algorithms（压缩感知算法），包括：OMP，GBP，CoSaMP，IRLS，IHT等matlab实现及相应算法详解文档！希望对大家有所帮助！