Faster Algorithms for the Shortest Path Problem (Classic Reprint) - Hardcover

Ravindra K. Ahuja

 
9780656460038: Faster Algorithms for the Shortest Path Problem (Classic Reprint)

Synopsis

Unlock faster paths in graph problems with a practical new approach.

This book presents a fresh take on shortest-path algorithms and shows how a redistributive heap can speed up big computations without complicated tools.

It explains a two-level bucket system that makes Dijkstra’s algorithm work more efficiently in practice, and it compares this approach to Fibonacci heaps for theoretical speed. The text discusses different computation models and when each model best reflects real performance, helping you choose the right method for your data.
  • Learn a practical alternative to standard priority queues for shortest-path calculations.
  • Understand how the two-level R-heap and subbucket organization speed up key steps in the algorithm.
  • See how different models of computation affect real-world performance and initialization costs.
  • Compare simpler approaches to more complex ones to pick the best fit for your problem scale.
Ideal for readers who want a deeper dive into efficient graph algorithms and their performance trade-offs, especially practitioners and students in computer science.

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