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Algorithms and Programming Problems and Solutions [Hardcover]

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  • Category: Books (Computers)
  • Author:  Shen, Alexander
  • Author:  Shen, Alexander
  • ISBN-10:  1441917470
  • ISBN-10:  1441917470
  • ISBN-13:  9781441917478
  • ISBN-13:  9781441917478
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Mar-2009
  • Pub Date:  01-Mar-2009
  • SKU:  1441917470-11-SPRI
  • SKU:  1441917470-11-SPRI
  • Item ID: 100156685
  • List Price: $69.99
  • Seller: ShopSpell
  • Ships in: 5 business days
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  • Delivery by: Jul 03 to Jul 05
  • Notes: Brand New Book. Order Now.

This text is structured in a problem-solution format that requires the student to think through the programming process. New to the second edition are additional chapters on suffix trees, games and strategies, and Huffman coding as well as an Appendix illustrating the ease of conversion from Pascal to C.

Structured in a problem-solution format, this undergraduate text motivates the student to think through the programming process. New to the second edition are added chapters on suffix trees, games and strategies, and Huffman coding as well as an appendix illustrating the ease of conversion from Pascal to C.

Algorithms and Programming is primarily intended for use in a first-year undergraduate course in programming. It is structured in a problem-solution format that requires the student to think through the programming process, thus developing an understanding of the underlying theory. The book is easily readable by a student taking a basic introductory course in computer science as well as useful for a graduate-level course in the analysis of algorithms and/or compiler construction.

Each self-contained chapter presents classical and well-known problems supplemented by clear and in-depth explanations. The material covered includes such topics as combinatorics, sorting, searching, queues, grammar and parsing, selected well-known algorithms and much more. Students and teachers will find this both an excellent text for learning programming and a source of problems for a variety of courses.

Variables, expressions, assignments.- Generation of combinatorial objects.- Tree traversal (backtracking).- Sorting.- Finite-state algorithms in text processing.- Data types.- Recursion.- Recursive and non-recursive programs.- Graph algorithms.- Pattern matching.- Games analysis.- Optimal coding.- Set representation. Hashing.- Sets, trees, and balanced trees.- Context-free grammars.- Left-to-right parsing (LR).<lƒ*
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