A Star: Fundamentals and Applications

· Artificial Intelligence Ibhuku elingu-115 · One Billion Knowledgeable
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Izilinganiso nezibuyekezo aziqinisekisiwe  Funda Kabanzi
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What Is A Star

Because of its completeness, optimality, and optimal efficiency, the A* method, which is employed for graph traversal and path search, is utilized in a variety of subfields within the discipline of computer science. Because it saves all of the created nodes in memory, its space complexity is a significant disadvantage in practical terms. Consequently, in practical travel-routing systems, it is often outperformed by algorithms that can pre-process the graph to achieve higher speed, as well as by approaches that are memory-bounded; despite this, A* is still the best answer in many different scenarios.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: A* Search Algorithm


Chapter 2: Graph Theory


Chapter 3: Heuristic in Computer Science


Chapter 4: Best-First Search


Chapter 5: Dijkstra's Algorithm


Chapter 6: Any-Angle Path Planning


Chapter 7: Admissible Heuristic


Chapter 8: Consistent Heuristic


Chapter 9: Memory-Bound Function


Chapter 10: Pathfinding


(II) Answering the public top questions about a star.


(III) Real world examples for the usage of a star in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of a star' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of a star.

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