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Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In this book, Sedgewick offers the same successful blend of theory and practice with concise implementations that can be tested on real applications, which has made his work popular with programmers for many years.Algorithms in C, Third Edition, Part 5: Graph Algorithms is the second book in Sedgewick's thoroughly revised and rewritten series. The first book, Parts 1-4, addresses fundamental algorithms, data structures, sorting, and searching. A forthcoming third book will focus on strings, geometry, and a range of advanced algorithms. Each book's expanded coverage features new algorithms and implementations, enhanced descriptions and diagrams, and a wealth of new exercises for polishing skills. A focus on abstract data types makes the programs more broadly useful and relevant for the modern object-oriented programming environment.Coverage includes: A complete overview of graph properties and types Diagraphs and DAGs Minimum spanning trees Shortest paths Network flows Diagrams, sample C code, and detailed algorithm descriptionsThe Web site for this book (http://www.cs.princeton.edu/~rs/) provides additional source code for programmers along with numerous support materials for educators.A landmark revision, Algorithms in C, Third Edition, Part 5 provides a complete tool set for programmers to implement, debug, and use graph algorithms across a wide range of computer applications.
This text investigates the fundamental principles and practical implementations of graph algorithms within the C programming language. Robert Sedgewick, a professor of computer science, utilizes his extensive academic background to present a structured framework for understanding complex data structures. The book bridges the gap between theoretical graph properties and their application in real-world scenarios such as network connectivity and circuit design. By focusing on abstract data types, the author ensures that the provided implementations remain relevant for modern programming environments.
What You Will Find
Experts and educators frequently cite this work as a foundational resource for students and professional programmers seeking to master graph theory. Readers often note the high density of the technical prose, which requires a solid grasp of C programming to fully utilize the provided algorithm implementations.
Page Count:
512
Publication Date:
2001-08-16
Publisher:
Addison-Wesley Professional
ISBN-10:
0201316633
ISBN-13:
9780201316636
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