Π ΠΎΠ²ΠΎΡ Π΅-ΠΊΡΠΈΠ·ΠΈ
An technique known as breadth-first search, or BFS, is used to search the nodes in a tree data structure for one that satisfies a particular set of criteria. It begins at the base of the tree and proceeds to investigate each of the nodes at the current depth level before moving on to the nodes located at the next depth level. To maintain track of the child nodes that have been encountered but have not yet been investigated, additional memory, typically in the form of a queue, is required.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Breadth-First Search
Chapter 2: Graph Abstract Data Type
Chapter 3: Garbage Collection in Computer Science
Chapter 4: Lexicographic Breadth-First Search
Chapter 5: Shortest Path Problem
Chapter 6: Depth-First Search
Chapter 7: Bidirectional Search
Chapter 8: Dijkstra's Algorithm
Chapter 9: Level Structure
Chapter 10: Iterative Deepening Depth-First Search
(II) Answering the public top questions about breadth first search.
(III) Real world examples for the usage of breadth first search in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of breadth first search' 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 breadth first search.
