The Algorithm Design Manual Book
Score: 4.5
From 19 Ratings

The Algorithm Design Manual


  • Author : Steven S Skiena
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-04-05
  • Genre: Computers
  • Pages : 730
  • ISBN 10 : 9781848000704

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The Algorithm Design Manual Excerpt :

This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java

The Algorithm Design Manual  Text Book
Score: 4
From 20 Ratings

The Algorithm Design Manual Text


  • Author : Steven S. Skiena
  • Publisher : Springer Science & Business Media
  • Release Date : 1998
  • Genre: Computers
  • Pages : 508
  • ISBN 10 : 0387948600

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The Algorithm Design Manual Text Excerpt :

This volume helps take some of the "mystery" out of identifying and dealing with key algorithms. Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms. The second is a reference section, which includes a catalog of the 75 most important algorithmic problems. By browsing this catalog, readers can quickly identify what the problem they have encountered is called, what is known about it, and how they should proceed if they need to solve it. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. This work can also readily be used in an upper-division course or as a student reference guide.THE ALGORITHM DESIGN MANUAL comes with a CD-ROM that contains:* a complete hypertext version of the full printed book.* the source code and URLs for all cited implementations.* over 30 hours of audio lectures on the design and analysis of algorithms are provided, all keyed to on-line lecture notes.

The Data Science Design Manual Book
Score: 4
From 1 Ratings

The Data Science Design Manual


  • Author : Steven S. Skiena
  • Publisher : Springer
  • Release Date : 2017-07-01
  • Genre: Computers
  • Pages : 445
  • ISBN 10 : 9783319554440

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The Data Science Design Manual Excerpt :

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)

Programming Challenges Book

Programming Challenges


  • Author : Steven S Skiena
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-04-18
  • Genre: Computers
  • Pages : 364
  • ISBN 10 : 9780387220819

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Programming Challenges Excerpt :

There are many distinct pleasures associated with computer programming. Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the flash of insight that cracks a previously intractable problem. The spiritual quest for elegance can turn the hacker into an artist. There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding. The games, puzzles, and challenges of problems from international programming competitions are a great way to experience these pleasures while improving your algorithmic and coding skills. This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them. Instant online grading for all of these problems is available from two WWW robot judging sites. Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. The problems in this book have been selected from over 1,000 programming problems at the Universidad de Valladolid online judge. The judge has ruled on well over one million submissions from 27,000 registered users around the world to date. We have taken only the best of the best, the most fun, exciting, and interesting problems available.

A Guide to Algorithm Design Book

A Guide to Algorithm Design


  • Author : Anne Benoit
  • Publisher : CRC Press
  • Release Date : 2013-08-27
  • Genre: Computers
  • Pages : 380
  • ISBN 10 : 9781439898130

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A Guide to Algorithm Design Excerpt :

Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexity results. It gives a practical treatment of algorithmic complexity and guides readers in solving algorithmic problems. Divided into three parts, the book offers a comprehensive set of problems with solutions as well as in-depth case studies that demonstrate how to assess the complexity of a new problem. Part I helps readers understand the main design principles and design efficient algorithms. Part II covers polynomial reductions from NP-complete problems and approaches that go beyond NP-completeness. Part III supplies readers with tools and techniques to evaluate problem complexity, including how to determine which instances are polynomial and which are NP-hard. Drawing on the authors’ classroom-tested material, this text takes readers step by step through the concepts and methods for analyzing algorithmic complexity. Through many problems and detailed examples, readers can investigate polynomial-time algorithms and NP-completeness and beyond.

A Common Sense Guide to Data Structures and Algorithms  Second Edition Book

A Common Sense Guide to Data Structures and Algorithms Second Edition


  • Author : Jay Wengrow
  • Publisher : Pragmatic Bookshelf
  • Release Date : 2020-08-10
  • Genre: Computers
  • Pages : 714
  • ISBN 10 : 9781680508055

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A Common Sense Guide to Data Structures and Algorithms Second Edition Excerpt :

Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.

Algorithm Design Book
Score: 3
From 1 Ratings

Algorithm Design


  • Author : Jon Kleinberg
  • Publisher : Pearson Higher Ed
  • Release Date : 2012-02-28
  • Genre: Computers
  • Pages : 863
  • ISBN 10 : 9780133072525

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Algorithm Design Excerpt :

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science. August 6, 2009 Author, Jon Kleinberg, was recently cited in the New York Times for his statistical analysis research in the Internet age.

A Common Sense Guide to Data Structures and Algorithms Book

A Common Sense Guide to Data Structures and Algorithms


  • Author : Jay Wengrow
  • Publisher : Pragmatic Bookshelf
  • Release Date : 2017-08-03
  • Genre: Computers
  • Pages : 324
  • ISBN 10 : 9781680503081

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A Common Sense Guide to Data Structures and Algorithms Excerpt :

" Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. This book takes a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. Graphics and examples make these computer science concepts understandable and relevant. You can use these techniques with any language; examples in the book are in JavaScript, Python, and Ruby. Use Big O notation, the primary tool for evaluating algorithms, to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Jay Wengrow brings to this book the key teaching practices he developed as a web development bootcamp founder and educator. Use these techniques today to make your code faster and more scalable. "

Algorithms in a Nutshell Book
Score: 3.5
From 4 Ratings

Algorithms in a Nutshell


  • Author : George T. Heineman
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2008-10-14
  • Genre: Computers
  • Pages : 364
  • ISBN 10 : 9781449391133

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Algorithms in a Nutshell Excerpt :

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms With Algorithms in a Nutshell, you'll learn how to improve the performance of key algorithms essential for the success of your software applications.

7 Algorithm Design Paradigms Book

7 Algorithm Design Paradigms


  • Author : Sung-Hyuk Cha
  • Publisher : Unknown
  • Release Date : 2020-06-03
  • Genre: Uncategoriezed
  • Pages : null
  • ISBN 10 : 1735168041

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7 Algorithm Design Paradigms Excerpt :

The intended readership includes both undergraduate and graduate students majoring in computer science as well as researchers in the computer science area. The book is suitable either as a textbook or as a supplementary book in algorithm courses. Over 400 computational problems are covered with various algorithms to tackle them. Rather than providing students simply with the best known algorithm for a problem, this book presents various algorithms for readers to master various algorithm design paradigms. Beginners in computer science can train their algorithm design skills via trivial algorithms on elementary problem examples. Graduate students can test their abilities to apply the algorithm design paradigms to devise an efficient algorithm for intermediate-level or challenging problems. Key Features includes followings: 1 Dictionary of Computational Problems: A table of over 400 computational problems with more than 1500 algorithms is provided. 2 Indices and Hyperlinks: Algorithms, computational problems, equations, figures, lemmas, properties, tables, and theorems are indexed with unique identification numbers and page numbers in the printed book and hyperlinked in the e-book version. 3 Extensive Figures: Over 435 figures illustrate the algorithms and describe computational problems. 4 Comprehensive Exercises: More than 352 exercises help students to improve their algorithm design and analysis skills. The answers for most questions are available in the accompanying solution manual.

Grokking Algorithms Book

Grokking Algorithms


  • Author : Aditya Bhargava
  • Publisher : Simon and Schuster
  • Release Date : 2016-05-12
  • Genre: Computers
  • Pages : 256
  • ISBN 10 : 9781638353348

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Grokking Algorithms Excerpt :

Summary Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-​in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and w

Computational Discrete Mathematics Book

Computational Discrete Mathematics


  • Author : Sriram Pemmaraju
  • Publisher : Cambridge University Press
  • Release Date : 2009-10-15
  • Genre: Computers
  • Pages : null
  • ISBN 10 : 9781107268715

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Computational Discrete Mathematics Excerpt :

This book was first published in 2003. Combinatorica, an extension to the popular computer algebra system Mathematica®, is the most comprehensive software available for teaching and research applications of discrete mathematics, particularly combinatorics and graph theory. This book is the definitive reference/user's guide to Combinatorica, with examples of all 450 Combinatorica functions in action, along with the associated mathematical and algorithmic theory. The authors cover classical and advanced topics on the most important combinatorial objects: permutations, subsets, partitions, and Young tableaux, as well as all important areas of graph theory: graph construction operations, invariants, embeddings, and algorithmic graph theory. In addition to being a research tool, Combinatorica makes discrete mathematics accessible in new and exciting ways to a wide variety of people, by encouraging computational experimentation and visualization. The book contains no formal proofs, but enough discussion to understand and appreciate all the algorithms and theorems it contains.

The Art of Algorithm Design Book

The Art of Algorithm Design


  • Author : Sachi Nandan Mohanty
  • Publisher : CRC Press
  • Release Date : 2021-10-14
  • Genre: Computers
  • Pages : 318
  • ISBN 10 : 9781000463781

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The Art of Algorithm Design Excerpt :

The Art of Algorithm Design is a complementary perception of all books on algorithm design and is a roadmap for all levels of learners as well as professionals dealing with algorithmic problems. Further, the book provides a comprehensive introduction to algorithms and covers them in considerable depth, yet makes their design and analysis accessible to all levels of readers. All algorithms are described and designed with a "pseudo-code" to be readable by anyone with little knowledge of programming. This book comprises of a comprehensive set of problems and their solutions against each algorithm to demonstrate its executional assessment and complexity, with an objective to: Understand the introductory concepts and design principles of algorithms and their complexities Demonstrate the programming implementations of all the algorithms using C-Language Be an excellent handbook on algorithms with self-explanatory chapters enriched with problems and solutions While other books may also cover some of the same topics, this book is designed to be both versatile and complete as it traverses through step-by-step concepts and methods for analyzing each algorithmic complexity with pseudo-code examples. Moreover, the book provides an enjoyable primer to the field of algorithms. This book is designed for undergraduates and postgraduates studying algorithm design. Sachi Nandan Mohanty is an Associate Professor in the Department of Computer Engineering, College of Engineering Pune, India, with 11 years of teaching and research experience in Algorithm Design, Computer Graphics, and Machine Learning. Pabitra Kumar Tripathy is the Head of the Department of Computer Science & Engineering, Kalam Institute of Technology, Berhampur, India, with 15 years of teaching experience in Programming Languages, Algorithms, and Theory of Computation. Suneeta Satpathy is an Associate Professor in the Department of Computer Science at Sri Sri University, Cuttack, Odisha, India, with 13 years of teaching

Algorithms Book

Algorithms


  • Author : M H Alsuwaiyel
  • Publisher : World Scientific
  • Release Date : 1999-08-30
  • Genre: Computers
  • Pages : 544
  • ISBN 10 : 9789814495332

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Algorithms Excerpt :

Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) solution of the formulated problem. One can solve a problem on its own using ad hoc techniques or follow those techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm design techniques, how and when to use them to formulate solutions and the context appropriate for each of them. This book advocates the study of algorithm design techniques by presenting most of the useful algorithm design techniques and illustrating them through numerous examples. Contents: Basic Concepts and Introduction to Algorithms:Basic Concepts in Algorithmic AnalysisMathematical PreliminariesData StructuresHeaps and the Disjoint Sets Data StructuresTechniques Based on Recursion:InductionDivide and ConquerDynamic ProgrammingFirst-Cut Techniques:The Greedy ApproachGraph TraversalComplexity of Problems:NP-Complete ProblemsIntroduction to Computational ComplexityLower BoundsCoping with Hardness:BacktrackingRandomized AlgorithmsApproximation AlgorithmsIterative Improvement for Domain-Specific Problems:Network FlowMatchingTechniques in Computational Geometry:Geometric SweepingVoronoi Diagrams Readership: Senior undergraduates, graduate students and professionals in software development. Keywords:

Mathematics for Algorithm and Systems Analysis Book

Mathematics for Algorithm and Systems Analysis


  • Author : Edward A. Bender
  • Publisher : Courier Corporation
  • Release Date : 2005-01-01
  • Genre: Mathematics
  • Pages : 258
  • ISBN 10 : 9780486442501

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Mathematics for Algorithm and Systems Analysis Excerpt :

Discrete mathematics is fundamental to computer science, and this up-to-date text assists undergraduates in mastering the ideas and mathematical language to address problems that arise in the field's many applications. It consists of 4 units of study: counting and listing, functions, decision trees and recursion, and basic concepts of graph theory.