Compared to What?: An Introduction to the Anaylsis of Algorithms,New

Compared to What?: An Introduction to the Anaylsis of Algorithms,New

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SKU: DADAX071678243X
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compared to what? covers all the basics of algorithm analysis but it does not just supply algorithms to memorize it lets you guide your students through the process of breaking down and solving aigolithmic problems. The invaluable analytic skills developed through this innovative approach will appiv to anj, programming assignmentno matter the size of the problem or the language and macnine used. The book does not assume a high degree of familiarity with discrete mathematicsin fact, all mathematical concepts crucial to algorithm analysis are explained in the appendices. Each chapter centers on a basic problem and works through a variety of available . options for its solution rather than declaring a single best answer. Within the chapters, carefully orchestrated. 'Pauses'helpful questions and strategy suggestionspoint students to workable solutions and to increasinglv more advanced variations and applications. Endofchapter 'Codas' restate each chapter's major themes and guide the transition into the next set of problems. Compared to What? will help students analyze problems, determine what needs to be optimized, and pinpoint inefficiencies and inaccuracies in their programs. Its friendlv but challenging style, inventive examples 'and analogies, descriptions of stateoftheart applications, and pragmatic focus will help you teach students to create algorithmic solutionsnot merely memorize them.

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  • Q: How many pages does the book have? A: This book has five hundred thirty-six pages. It provides a comprehensive guide to algorithm analysis and problem-solving techniques.
  • Q: What are the dimensions of the book? A: The book measures seven point five two inches in length, one point two six inches in width, and nine point five inches in height. These dimensions make it easy to handle and read.
  • Q: What type of binding does the book have? A: This book is available in hardcover binding. Hardcover books are known for their durability and professional appearance.
  • Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It explains fundamental concepts without assuming prior knowledge of discrete mathematics.
  • Q: What topics are covered in the book? A: The book covers algorithm analysis, problem-solving techniques, and optimization strategies. It uses practical examples to enhance understanding.
  • Q: Can this book help with programming assignments? A: Yes, this book helps with programming assignments. It focuses on analytical skills that are applicable to various programming problems.
  • Q: How should I care for this book? A: To care for this book, keep it in a dry environment and avoid exposure to direct sunlight. This will help preserve its condition.
  • Q: Is this book safe for children? A: Yes, this book is safe for children. It does not contain inappropriate content and focuses on educational material.
  • Q: Can I store this book on a shelf? A: Yes, you can store this book on a shelf. Ensure it is upright to maintain its shape and prevent damage.
  • Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or replacement. Most sellers have customer service policies to address such issues.
  • Q: Is there a warranty on the book? A: Typically, books do not come with a warranty. However, you can check with the retailer for their specific return policies.
  • Q: Does this book include exercises or problems? A: Yes, this book includes exercises and problems at the end of each chapter. These are designed to reinforce the concepts discussed.
  • Q: Is this book appropriate for advanced students? A: Yes, this book is also appropriate for advanced students. It provides deeper insights into algorithm analysis and problem-solving.
  • Q: How is the book structured? A: The book is structured by chapter, focusing on different problems and offering various solution strategies. It includes helpful pauses and summaries.
  • Q: What is the author’s background? A: The author of this book is Gregory J.E. Rawlins. He has expertise in computer science and algorithm analysis.
  • Q: Does the book explain mathematical concepts? A: Yes, the book explains all necessary mathematical concepts in the appendices. This ensures that readers understand the fundamentals.

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