Graph Algorithms the Fun Way: Powerful Algorithms Decoded, Not Oversimplified

Kubica, Jeremy

ISBN 10: 1718503865 / ISBN 13: 9781718503861

Edité par No Starch Press, 2024

A propos de cet article

N° de réf. du vendeur I-9781718503861

Détails bibliographiques

• Titre: Graph Algorithms the Fun Way: Powerful Algorithms Decoded, Not Oversimplified
• Éditeur: No Starch Press
• Date de parution: 2024
• Langue: anglais
• ISBN à 10 chiffres: 1718503865
• ISBN à 13 chiffres: 9781718503861
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

Enter the wonderful world of graph algorithms, where you’ll learn when and how to apply these highly useful data structures to solve a wide range of fascinating (and fantastical) computational problems.

Graph Algorithms the Fun Way offers a refreshing approach to complex concepts by blending humor, imaginative examples, and practical Python implementations to reveal the power and versatility of graph based problem-solving in the real world. Through clear diagrams, engaging examples, and Python code, you’ll build a solid foundation for addressing graph problems in your own projects.

Explore a rich landscape of cleverly constructed scenarios where:

• Hedge mazes illuminate depth-first search
• Urban explorations demonstrate breadth-first search
• Intricate labyrinths reveal bridges and articulation points
• Strategic planning illustrates bipartite matching

From fundamental graph structures to advanced topics, you will:

• Implement powerful algorithms, including Dijkstra’s, A*, and Floyd-Warshall
• Tackle puzzles and optimize pathfinding with newfound confidence
• Uncover real-world applications in social networks  and transportation systems
• Develop robust intuition for when and why to apply specific graph techniques

Delve into topological sorting, minimum spanning trees, strongly connected components, and random walks. Confront challenges like graph coloring and the traveling salesperson problem.

Prepare to view the world through the lens of graphs—where connections reveal insights and algorithms unlock new possibilities.

À propos de l?auteur

Jeremy Kubica is an engineering director working at the intersection of computer science and astrophysics. He holds a PhD in robotics from Carnegie Mellon University and a BS in computer science from Cornell University. He is the author of The CS Detective, Data Structures the Fun Way (both from No Starch Press), and Computational Fairy Tales.