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Introduction to Algorithms, Third Edition
English | 2009 | ISBN: 0262033844 | 1312 pages | PDF | 5 MB
Introduction to Algorithms
225 pages | Sep 22 2000 |ISBN:0070131430 | PDF | 65.5 Mb
Aimed at any serious programmer or computer science student, the new second edition of Introduction to Algorithms builds on the tradition of the original with a truly magisterial guide to the world of algorithms. Clearly presented, mathematically rigorous, and yet approachable even for the math-averse, this title sets a high standard for a textbook and reference to the best algorithms for solving a wide range of computing problems.
Introduction to Algorithms - by MIT 2009
English | MP4 | XVID 290 kbps 15 fps | 320 x 240 | AAC 128 kbps 22 KHz Stereo | 3.68 GB
Genre: elearning
This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.
Introduction to Algorithms Ebooks Collection | PDF & CHM | 238 MB
Addison.Wesley.Algorithms.In.Java.3rd.Ed.Part5.Graph.Algorithms.eBook-LiB.chm
az35_Algorithm Design For Networked Information Technology Systems (Springer-2004).pdf
DrDobbsJournal10ClassicalAlgorithm.chm
file_id.diz
H.S.Wilf - Algorithm And Complexity.pdf
J.Bucknall - The Tomes of Delphi Algorithms and Data Structures.pdf
Jones.And.Bartlett.Publishers.Foundations.Of.Algorithms.Using.Cpp.Pseudocode.3rd.Edition.eBook-LiB.chm
Mcgraw Hill - Data Structures Demystified.chm
poa.pdf
T.H.Cormen & others - Introduction to Algorithms. 2nd Ed.pdf
Wiley.Interscience.Practical.Genetic.Algorithms.May.2004.eBook-LinG.pdf
(ebook - HLP - Programming) Algorithm Design Manual.hlp
0262011948.pdf
0471469459.pdf
Addison.Wesley.Algorithms..pdf
McGraw Hill - Introduction To Algorithms, 2nd Edition.pdf
Introduction to Algorithms(Instructor's Manual).pdf
Introduction to Algorithms 2nd Edition
The Massachusetts Institute of Technology Press | ISBN: 0262032937 | QA76.6 I5858 | 2001 | 984 pages | PDF | 18.02 MB
This book provides a comprehensive introduction to the modern study of computer algorithms. It presents many algorithms and covers them in considerable depth, yet makes their design and analysis accessible to all levels of readers. We have tried to keep explanations elementary without sacrificing depth of coverage or mathematical rigor. Each chapter presents an algorithm, a design technique, an application area, or a related topic.
Introduction to the Theory of Computation eBook with Solution Manual
English | PDF | 416 Pages | ISBN-10: 0 5 3 4 9 4 7 2 8 X | ISBN-13: 978-0 5 3 4 9 4 7 2 8 6 | 33.902 Mb
Michael Sipser's emphasis on unifying computer science theory - rather than offering a collection of low-level details - sets the book apart, as do his intuitive explanations. Throughout the book, Sipser builds students' knowledge of conceptual tools used in computer science, the aesthetic sense they need to create elegant systems, and the ability to think through problems on their own.
Introduction to Chemical Engineering Thermodynamics Solution Manual by J. M. Smith
Publisher: McGraw-Hill Science/Engineering/Math; 6 edition (December 14, 2000) | ISBN: 0072402962 | Pages: 816 | PDF | 11.16 MB
An Introduction to the Analysis of Algorithms, 2nd Edition
2013 | ISBN: 032190575X | PDF | 592 pages | 7 MB
Introduction to the Design and Analysis of Algorithms, 3rd Edition
Publisher: A d di s o n - W e s l e y | 2011 | PDF | ISBN: 0132316811 | 592 pages | 10.8 Mb
Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a detailed solution manual.
An Introduction to the Analysis of Algorithms, 2nd Edition
Publisher: A d d i s o n-W e s l e y P r o f e s s i o n a l | 2013 | PDF | ISBN: 032190575X | 592 pages | 6.6 Mb
Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully introducing primary techniques and results in the field.
An Introduction to Object-Oriented Programming with Java by C. Thomas Wu, 5th Edition
Publisher: McGraw-Hill Science/Engineering/Math; 5th ed (Mar 24, 2009) | ISBN: 0073523305 | English | PDF | 1008 pages | 16 MB
An Introduction to Object-Oriented Programming with Java takes a full-immersion approach to object-oriented programming. Proper object-oriented design practices are emphasized throughout the book. Students learn how to use the standard classes first, then learn to design their own classes.
An introduction to the theory of multiply periodic functions, by H.F. Baker
Publisher: University of Michigan Library (January 1, 1907) | ISBN: 1418167037 | Pages: 354 | PDF | 10.35 MB
A Concise and Practical Introduction to Programming Algorithms in Java
2009 | ISBN-10: 184882338X | PDF | 304 pages | 3,4 MB
Introduction to Personal Computers, Windows 7 Edition, Student Manual
345 pages | Sep 22 2010 |ISBN: 1426019335 | PDF | 7.5 Mb
This course is for students who have little or no experience with personal computers and who want to learn the basics. Students will learn about the main components of a typical computer system and the basic elements of the Windows 7 interface. Students will learn how to navigate in Windows Explorer, organize files and folders, search for items on their computers, and personalize Windows. Students will also learn how to browse the Web with Internet Explorer 8 and how to protect their computers from malware.
H.Douglas Brown - University video course: “Introduction to English Language learning”
English | AVI | DivX | 352x272 1085 Kbps 29.970 fps | MP3 128 Kbps | Time: 1:41:13 | 888 Mb
Genre:eLearning
This video course focuses on learning and teaching English as a second language. The course will consider both theories of language learning and innovative methods to teaching a second language.
Introduction to Chemical Engineering Thermodynamics 7th Edition + Solutions Manual
English | 2008 | 1244 pages | PDF | 112 MB
"Introduction to Chemical Engineering Thermodynamics, 7/e", presents comprehensive coverage of the subject of thermodynamics from a chemical engineering viewpoint. This text provides a thorough exposition of the principles of thermodynamics and details their application to chemical processes. The chapters are written in a clear, logically organized manner, and contain an abundance of realistic problems, examples, and illustrations to help students understand complex concepts. New ideas, terms, and symbols constantly challenge the readers to think and encourage them to apply this fundamental body of knowledge to the solution of practical problems. The comprehensive nature of this book makes it a useful reference both in graduate courses and for professional practice. The seventh edition continues to be an excellent tool for teaching the subject of chemical engineering thermodynamics to undergraduate students.
Introduction to Web Development with Microsoft Visual Studio 2010. Lab Manual (MS Course 10267A)
Publisher: Microsoft Press | 2010 | 1058 Pages | ISBN: N/A | PDF | 7 MB
This course is intended for Web developers who are beginners and have knowledge of Hypertext Markup Language (HTML) or Dynamic HTML (DHTML), along with some knowledge of a scripting language such as Visual Basic Scripting Edition or Microsoft Jscript.
Introduction to Evolutionary Algorithms
Publisher: Springer | 2010 | PDF | 418 pages | ISBN: 184996128X | 3.6Mb
Evolutionary algorithms (EAs) are becoming increasingly attractive for researchers from various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science, economics, etc. This book presents an insightful, comprehensive, and up-to-date treatment of EAs, such as genetic algorithms, differential evolution, evolution strategy, constraint optimization, multimodal optimization, multiobjective optimization, combinatorial optimization, evolvable hardware, estimation of distribution algorithms, ant colony optimization, particle swarm optimization, artificial immune systems, artificial life, genetic programming, etc.
Introduction to Parallel Processing: Algorithms and Architectures
Publisher: Springer | ISBN: 0306459701 | edition 1999 | PDF | 557 pages | 12,3 mb
This original text provides comprehensive coverage of parallel algorithms and architectures, beginning with fundamental concepts and continuing through architectural variations and aspects of implementation. Unlike the authors of similar texts, Professor Parhami reviews the circuit model and problemdriven parallel machines, variants of mesh architectures, and composite and hierarchical systems, among other subjects. With its balanced treatment of theory and practical designs, classtested lecture material and problems, and helpful case studies, the book is suited to graduate and upperlevel undergraduate students of advanced architecture or parallel processing.
An Introduction to the Analysis of Algorithms By Robert Sedgewick, Philippe Flajolet
Addison-Wesley Professional 1995 | 512 Pages | ISBN: 020140009X | DJVU | 10 MB
This book is intended to be a thorough overview of the primary techniques used in the mathematical analysis of algorithms. The material covered draws from classical mathematical topics, including discrete mathematics, elementary real analysis, and combinatorics; as well as from classical computer science topics, including algorithms and data structures. The focus is on "average-case'' or "probabilistic'' analysis, though the basic mathematical tools required for "worst-case" or "complexity" analysis are covered, as well.
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