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.
2021-05-04 12:40:44 5.39MB 算法 导论 algorithm
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Michael Wooldridge编写的,是第一版,不是第二版,第二版没找到。英文的。不是影印的。一共365页。
2021-05-04 00:04:50 4.87MB Multiagent Systems
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这本书是非常新(2017年)的 Multi-Armed Bandit 的学习资料,作者是Aleksandrs Slivkins, MSR 的研究员。多臂赌博机在强化学习和在线学习中有很多的应用。
2021-05-03 18:02:31 781KB MAB Reinfo
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实用的概率模型介绍, 要学各种概率模型, 马尔科夫链的朋友很有帮助
2021-05-03 14:06:40 3.02MB 概率论, 概率模型
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There are some books that target the theory of the finite element, while others focus on the programming side of things. Introduction to Finite Element Analysis Using MATLAB® and Abaqus accomplishes both. This book teaches the first principles of the finite element method. It presents the theory of the finite element method while maintaining a balance between its mathematical formulation, programming implementation, and application using commercial software. The computer implementation is carried out using MATLAB, while the practical applications are carried out in both MATLAB and Abaqus. MATLAB is a high-level language specially designed for dealing with matrices, making it particularly suited for programming the finite element method, while Abaqus is a suite of commercial finite element software. Includes more than 100 tables, photographs, and figures Provides MATLAB codes to generate contour plots for sample results Introduction to Finite Element Analysis Using MATLAB and Abaqus introduces and explains theory in each chapter, and provides corresponding examples. It offers introductory notes and provides matrix structural analysis for trusses, beams, and frames. The book examines the theories of stress and strain and the relationships between them. The author then covers weighted residual methods and finite element approximation and numerical integration. He presents the finite element formulation for plane stress/strain problems, introduces axisymmetric problems, and highlights the theory of plates. The text supplies step-by-step procedures for solving problems with Abaqus interactive and keyword editions. The described procedures are implemented as MATLAB codes and Abaqus files can be found on the CRC Press website.
2021-04-29 20:31:23 11.82MB matlab Finite Element Analysis
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This book has two principal aims: to teach scientific programming and to introduce stochastic modelling. Stochastic modelling, indeed mathematical modelling more generally, is intimately linked to scientific programming because the numerical techniques of scientific programming enable the practical application of mathematical models to real-world problems. In the context of stochastic modelling, simulation is the numerical technique that enables us to analyse otherwise intractable models.
2021-04-29 09:21:28 7.97MB R-Language Simulation
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Introduction to the MIPS32 Architecture 对mips32架构的一个介绍。 对学习嵌入式开发不可多得的好书
2021-04-28 23:06:50 926KB Introduction to the MIPS32
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微积分和数学分析的经典教材,没有之一。
2021-04-28 18:49:46 8.9MB 微积分 数学分析
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[麻省理工学院-算法导论].Introduction.to.Algorithms.-.Lecture.Notes
2021-04-25 18:23:26 4.58MB 麻省理工学院 算法导论 Lecture.Notes
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[麻省理工学院-算法导论].Introduction.to.Algorithms.-.Homework.rar
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