Description

Book Synopsis

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.



Trade Review

From the reviews:

"The book is addressed both to ambitious students and instructors looking for interesting problems [and] fulfills this task perfectly, especially if the reader has a good mathematical background." — Zentralblatt MATH

"This book is intended for students, engineers, and other people who want to improve their computer skills.... The chapters can be read independently. Throughout the book, useful exercises give readers a feeling for how to apply the theory." — Computing Reviews

"Overall...the book is well done. I recommend it to teachers and those wishing to sharpen their data structure and compiler skills." — SIGACT News

From the reviews of the second edition:

“An excellent source of material for college students … and for their teachers. … it contains a lot of great information for the computer science student. Ideally, students would acquire this book in their freshman year and begin using it as soon as they learn the basics of procedural programming. They will then find this book an excellent companion, as they develop their analytical and programming skills throughout the curriculum. … This book is a delight to read and work with. I highly recommend it.” (Edgar R. Chavez, ACM Computing Reviews, December, 2010)



Table of Contents
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).

Algorithms and Programming

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Order before 4pm tomorrow for delivery by Wed 14 Jan 2026.

A Paperback by Alexander Shen

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    View other formats and editions of Algorithms and Programming by Alexander Shen

    Publisher: Springer-Verlag New York Inc.
    Publication Date: 1/17/2009 12:12:00 AM
    ISBN13: 9781493937004, 978-1493937004
    ISBN10: 1493937006

    Description

    Book Synopsis

    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.



    Trade Review

    From the reviews:

    "The book is addressed both to ambitious students and instructors looking for interesting problems [and] fulfills this task perfectly, especially if the reader has a good mathematical background." — Zentralblatt MATH

    "This book is intended for students, engineers, and other people who want to improve their computer skills.... The chapters can be read independently. Throughout the book, useful exercises give readers a feeling for how to apply the theory." — Computing Reviews

    "Overall...the book is well done. I recommend it to teachers and those wishing to sharpen their data structure and compiler skills." — SIGACT News

    From the reviews of the second edition:

    “An excellent source of material for college students … and for their teachers. … it contains a lot of great information for the computer science student. Ideally, students would acquire this book in their freshman year and begin using it as soon as they learn the basics of procedural programming. They will then find this book an excellent companion, as they develop their analytical and programming skills throughout the curriculum. … This book is a delight to read and work with. I highly recommend it.” (Edgar R. Chavez, ACM Computing Reviews, December, 2010)



    Table of Contents
    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).

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