Algorithms and Programming

Problems and Solutions

Häftad, Engelska, 2009

AvAlexander Shen

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Algorithms and Programming is primarily intended for use in a first-year undergraduate course in programming.

Produktinformation

Utgivningsdatum2009-12-17
Mått178 x 254 x 20 mm
Vikt540 g
FormatHäftad
SpråkEngelska
SerieSpringer Undergraduate Texts in Mathematics and Technology
Antal sidor272
Upplaga2
FörlagSpringer-Verlag New York Inc.
ISBN9781493937004

Tillhör följande kategorier

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).

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)