Foundations of Algorithm Design and Analysis von Zivkovic, Dejan: New (2009)

Beschreibung

Bestandsnummer des Verk�ufers I-9783639135046

Bibliografische Details

Titel: Foundations of Algorithm Design and Analysis
Verlag: VDM Verlag
Erscheinungsjahr: 2009
Sprache: Englisch
ISBN-10: 3639135040
ISBN-13: 9783639135046
Einband: Softcover
Zustand: New

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Inhaltsangabe

The field of algorithms is now a well-established part of computer science and mathematics, with its theoretical elegance and practical importance. On the one hand, computer practitioners can directly use good algorithms in complex programming projects. On the other hand, efficient algorithms often pose a challenging mathematical problem because their analysis uses deep mathematical results from different fields. Thus the modern study of algorithms is based on an interplay between their computational and mathematical aspects. The goal of this book is to lay down foundations for this fascinating area. In keeping with this goal, we have attempted to present some of the most fundamental methods for algorithm construction. In particular, the book introduces a number of paradigms and techniques useful for designing and analyzing data structures and algorithms.

Rese�a del editor

The field of algorithms is now a well-established part of computer science and mathematics, with its theoretical elegance and practical importance. On the one hand, computer practitioners can directly use good algorithms in complex programming projects. On the other hand, efficient algorithms often pose a challenging mathematical problem because their analysis uses deep mathematical results from different fields. Thus the modern study of algorithms is based on an interplay between their computational and mathematical aspects. The goal of this book is to lay down foundations for this fascinating area. In keeping with this goal, we have attempted to present some of the most fundamental methods for algorithm construction. In particular, the book introduces a number of paradigms and techniques useful for designing and analyzing data structures and algorithms.

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