A Star: Fundamentals and Applications
Apie šią el. knygą
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.
