Introduction To Algorithms

Introduction To Algorithms PDF
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Author: Thomas H.. Cormen
Publisher: MIT Press
ISBN: 9780262032933
Size: 38.41 MB
Format: PDF
Category : Computers
Languages : en
Pages : 1180
View: 905

An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms.


Introduction To Algorithms

Introduction to Algorithms PDF
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Author: Thomas H. Cormen
Publisher: MIT Press
ISBN: 0262033844
Size: 34.98 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 1292
View: 7238

A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.


Introduction To Algorithms Third Edition

Introduction to Algorithms  third edition PDF
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Author: Thomas H. Cormen
Publisher: MIT Press
ISBN: 0262258102
Size: 29.82 MB
Format: PDF
Category : Computers
Languages : en
Pages : 1320
View: 4969

The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. 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, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. 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 exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.


Introduction To Algorithms And Numerical Methods

Introduction to Algorithms and Numerical Methods PDF
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Author: Brice Carnahan
Publisher:
ISBN:
Size: 74.77 MB
Format: PDF, ePub
Category : Algorithms
Languages : en
Pages :
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Introduction To Algorithms Instructor S Manual

Introduction to Algorithms  Instructor s Manual  PDF
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Author: Thomas H. Cormen
Publisher: CreateSpace
ISBN: 9781495319280
Size: 68.81 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 430
View: 4733

This document is an instructor's manual to accompany Introduction to Algorithms, Second Edition, by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. It is intended for use in a course on algorithms. You might also find some of the material herein to be useful for a CS 2-style course in data structures.Unlike the instructor's manual for the first edition of the text—which was organized around the undergraduate algorithms course taught by Charles Leiserson at MIT in Spring 1991—we have chosen to organize the manual for the second edition according to chapters of the text. That is, for most chapters we have provided a set of lecture notes and a set of exercise and problem solutions pertaining to the chapter. This organization allows you to decide how to best use the material in the manual in your own course.


Instructor S Manual To Accompany Introduction To Algorithms

Instructor s Manual to Accompany Introduction to Algorithms PDF
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Author: Julie Sussman
Publisher:
ISBN:
Size: 40.24 MB
Format: PDF, ePub, Docs
Category : Algorithms
Languages : en
Pages : 260
View: 1866



An Illustrative Introduction To Algorithms

An Illustrative Introduction to Algorithms PDF
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Author: Dino Cajic
Publisher:
ISBN: 9781686863264
Size: 51.42 MB
Format: PDF, Mobi
Category :
Languages : en
Pages : 364
View: 3255

This book was written to fill the gap that exists when Computer Science students, and programmers, attempt to learn and analyze the different algorithms that currently exist. I took a course on Algorithms and was disappointed in the type of material that's currently available. There are two types of books that I kept running into:1). First, the overly complex book. This book seems like it's designed for people that are already fluent in the topics and wanted a more detailed and mathematical approach to algorithms. 2). Second, the overly simple book. A basic introduction to algorithms. This is a high-level overview of some algorithms, and most complex algorithms are not mentioned. After completion, the person is still incapable of showing how the algorithm runs when a problem is presented. This book is designed for undergraduate upper-class students and programmers that want to expand their horizon. It can be used as a supplementary book alongside the complex book. Readers will gain the knowledge necessary to solve those mathematically intensive algorithmic problems that were presented in the complex book.Each chapter consists of a brief description of how the algorithm works followed by a detailed example or two. No steps are skipped during the traversal process. The reader is presented with a clear, simplified approach to solving the algorithm that the chapter is dedicated to. Each chapter follows a natural progression from the previous chapter. If certain algorithms rely heavily on prior knowledge, the previous chapter covers that topic. For example, Kruskal's algorithm relies heavily on prior knowledge of Minimum Spanning Trees and Greedy Algorithms. Each of those topics receives a chapter of its own.


Introduction To Algorithms For Data Mining And Machine Learning

Introduction to Algorithms for Data Mining and Machine Learning PDF
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Author: Xin-She Yang
Publisher: Academic Press
ISBN: 0128172169
Size: 43.71 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 188
View: 6607

Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data. Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages


Introduction To Algorithms Data Structures And Formal Languages

Introduction to Algorithms  Data Structures and Formal Languages PDF
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Author: Michael John Dinneen
Publisher:
ISBN: 9781442512061
Size: 40.37 MB
Format: PDF
Category : Computer algorithms
Languages : en
Pages : 254
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INTRODUCTION TO ALGORITHMS, DATA STRUCTURES AND FORMAL LANGUAGES provides a concise, straightforward, yet rigorous introduction to the key ideas, techniques, and results in three areas essential to the education of every computer scientist. The textbook is closely based on the syllabus of the course COMPSCI220, which the authors and their colleagues have taught at the University of Auckland for several years. The book could also be used for self-study. Many exercises are provided, a substantial proportion of them with detailed solutions. Numerous figures aid understanding. To benefit from the book, the reader should have had prior exposure to programming in a structured language such as Java or C++, at a level similar to a typical two semester first-year university computer science sequence. However, no knowledge of any particular such language is necessary. Mathematical prerequisites are modest. Several appendices can be used to fill minor gaps in background knowledge. After finishing this book, students should be well prepared for more advanced study of the three topics, either for their own sake or as they arise in a multitude of application areas.


Introduction To Algorithms

Introduction to Algorithms PDF
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Author: Michael David
Publisher:
ISBN:
Size: 13.42 MB
Format: PDF
Category :
Languages : en
Pages : 80
View: 7776

This book covers techniques for the design and analysis of algorithms. The algorithmic techniques covered include: divide and conquer, backtracking, dynamic programming, greedy algorithms, and hill-climbing.Any solvable problem generally has at least one algorithm of each of the following types:1.the obvious way;2.the methodical way;3.the clever way; and4.the miraculous way.On the first and most basic level, the "obvious" solution might try to exhaustively search for the answer. Intuitively, the obvious solution is the one that comes easily if you're familiar with a programming language and the basic problem solving techniques.The second level is the methodical level and is the heart of this book: after understanding the material presented here you should be able to methodically turn most obvious algorithms into better performing algorithms.The third level, the clever level, requires more understanding of the elements involved in the problem and their properties or even a reformulation of the algorithm (e.g., numerical algorithms exploit mathematical properties that are not obvious). A clever algorithm may be hard to understand by being non-obvious that it is correct, or it may be hard to understand that it actually runs faster than what it would seem to require.The fourth and final level of an algorithmic solution is the miraculous level: this is reserved for the rare cases where a breakthrough results in a highly non-intuitive solution.Naturally, all of these four levels are relative, and some clever algorithms are covered in this book as well, in addition to the methodical techniques. Let's begin.