{ "item_title" : "A Guide to Algorithm Design", "item_author" : [" Anne Benoit", "Yves Robert", "Frédéric Vivien "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/43/982/564/1439825645_b.jpg", "price_data" : { "retail_price" : "120.99", "online_price" : "120.99", "our_price" : "120.99", "club_price" : "120.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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