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Introduction To The Analysis Of Algorithms, An,New
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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.Robert Sedgewick And The Late Philippe Flajolet Have Drawn From Both Classical Mathematics And Computer Science, Integrating Discrete Mathematics, Elementary Real Analysis, Combinatorics, Algorithms, And Data Structures. They Emphasize The Mathematics Needed To Support Scientific Studies That Can Serve As The Basis For Predicting Algorithm Performance And For Comparing Different Algorithms On The Basis Of Performance.Techniques Covered In The First Half Of The Book Include Recurrences, Generating Functions, Asymptotics, And Analytic Combinatorics. Structures Studied In The Second Half Of The Book Include Permutations, Trees, Strings, Tries, And Mappings. Numerous Examples Are Included Throughout To Illustrate Applications To The Analysis Of Algorithms That Are Playing A Critical Role In The Evolution Of Our Modern Computational Infrastructure.Improvements And Additions In This New Edition Include Upgraded Figures And Code An Allnew Chapter Introducing Analytic Combinatorics Simplified Derivations Via Analytic Combinatorics Throughoutthe Books Thorough, Selfcontained Coverage Will Help Readers Appreciate The Fields Challenges, Prepare Them For Advanced Resultscovered In Their Monograph Analytic Combinatorics And In Donald Knuths The Art Of Computer Programming Booksand Provide The Background They Need To Keep Abreast Of New Research.'[Sedgewick And Flajolet] Are Not Only Worldwide Leaders Of The Field, They Also Are Masters Of Exposition. I Am Sure That Every Serious Computer Scientist Will Find This Book Rewarding In Many Ways.'From The Foreword By Donald E. Knuth
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- Q: How many pages are in 'Introduction to the Analysis of Algorithms'? A: The book contains five hundred ninety-two pages. This comprehensive length allows for an in-depth exploration of algorithm analysis topics.
- Q: What is the binding type of this book? A: The book is hardcover. This durable binding enhances its longevity and makes it suitable for regular use.
- Q: What are the dimensions of the book? A: The book measures seven point seventy-six inches in length, one point sixty-one inches in width, and nine point forty-one inches in height. These dimensions make it a manageable size for reading.
- Q: Who are the authors of this book? A: The authors are Robert Sedgewick and the late Philippe Flajolet. They are well-known figures in the field of algorithm analysis.
- Q: What category does this book fall under? A: This book is categorized under Systems Analysis & Design. It focuses on mathematical methods for analyzing algorithms.
- Q: How do I use this book for studying algorithms? A: You can use this book as a textbook for algorithm analysis courses. It provides essential techniques and examples for deeper understanding.
- Q: Is this book suitable for beginners in computer science? A: Yes, it is suitable for beginners. The authors present concepts clearly, making it accessible to those new to algorithm analysis.
- Q: What reading level is required for this book? A: A basic understanding of discrete mathematics and computer science is recommended. This foundation will help you grasp the advanced concepts presented.
- Q: How should I care for this hardcover book? A: To keep the book in good condition, store it upright and avoid exposure to moisture. Regularly dust off the cover to maintain its appearance.
- Q: Are there any safety concerns with this book? A: No, there are no safety concerns associated with this book. It is designed for educational purposes and does not contain hazardous materials.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or exchange. Most sellers have policies in place for handling such issues.
- Q: Can I return this book if I don't like it? A: Yes, you can typically return the book if it is within the return policy period. Be sure to check the specific terms of the seller.
- Q: What makes this edition different from the previous one? A: This edition includes upgraded figures, code, and an all-new chapter on analytic combinatorics. These improvements enhance the learning experience.
- Q: Is this book useful for advanced studies in algorithms? A: Yes, it is useful for advanced studies. It prepares readers for more complex topics covered in other significant works by the authors.
- Q: How does this book compare to other algorithm textbooks? A: This book integrates classical mathematics with practical algorithm analysis, distinguishing it from others that may focus solely on theoretical aspects.
- Q: Will I find real-world examples in this book? A: Yes, the book includes numerous examples throughout. These examples illustrate applications of algorithm analysis relevant to modern computational problems.