Search Tree: Fundamentals and Applications

· Artificial Intelligence Buku 110 · One Billion Knowledgeable
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What Is Search Tree

A search tree is a tree data structure that is used in the field of computer science for the purpose of locating specific keys from within a collection. The key for each node in a tree needs to be greater than any keys in subtrees on the left, and it needs to be less than any keys in subtrees on the right for the tree to be able to function as a search tree.


How You Will Benefit


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


Chapter 1: Search Tree


Chapter 2: Binary Search Tree


Chapter 3: Self-Balancing Binary Search Tree


Chapter 4: Red-Black Tree


Chapter 5: B-Tree


Chapter 6: Splay Tree


Chapter 7: Tries


Chapter 8: AVL Tree


Chapter 9: 2-3 Tree


Chapter 10: Treap


(II) Answering the public top questions about search tree.


(III) Real world examples for the usage of search tree in many fields.


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

Tentang pengarang

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. Fouad has more than 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

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