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๐ Unlock the power of graphs โ code smarter, solve faster!
Algorithms in C, Part 5: Graph Algorithms (3rd Edition) by Robert Sedgewick delivers a thorough, modern guide to graph algorithms with clear theory, practical C implementations, and enhanced exercises. Perfect for programmers aiming to master network flows, shortest paths, and more, this edition integrates abstract data types for contemporary coding environments.

| Best Sellers Rank | 252,971 in Books ( See Top 100 in Books ) 162 in Programming Languages & Tools 276 in Computing & Internet Databases 295 in Introduction to Programming |
| Customer Reviews | 4.2 out of 5 stars 12 Reviews |
U**K
Hรถchstes Niveau
Wissensvermittlung vom Feinsten.
J**A
very good
Very good, good examples and very clarified explanations, i will recommend it to everyone on the area of graph theory and computer science
M**N
Five Stars
Great book!
G**G
Five Stars
Good quality
Z**C
Better then no book about graph algorithms.
Robert Sedgewick is certainly well known to all people involved in the development of algorithms form different fields as an author of a number of books about algorithmic methods and data structures. And I am sure that we all appreciate this work because one simply needs all the time a reference to look up not only how one can solve a probem algorithmic but also how one can do this in an efficient way. This book provides a good overview of algorithms dealing with graphs but the problem is that the connection between the given source code in C and its general exlanation failed. It is clear, that a solution to a problem does not depend on the underlying programing language, hence, Sedgewick's book is anyway not intened to do this otherwise it would wear another title. On the other hand, an algorithm without general explanation brings not much. I think this book has a conceptual problem. None is interested in preimplemented code, because one normaly has a certain problem the algorithm has to be adapted. In general, this book is better then nothing but far from being a complete source of information concerning the functioning of the algorithms.
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