Algorithms Notes for Professionals
Publisher: Goalkicker.com 2018
Number of pages: 257
Contents: Getting started with algorithms; Algorithm Complexity; Big-O Notation; Trees; Binary Search Trees; Graph; Dijkstra's Algorithm; A* Pathfinding; Dynamic Programming; Kruskal's Algorithm; Greedy Algorithms; Catalan Number; Sorting; Searching; Pascal's Triangle; etc.
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This book shows how common algorithms are written in various programming languages, providing code implementations and explanation. Topics: Checksums; Date and time; Graphs; Hashing; Optimization; Search; Simulation; Sorting; String searching; etc.
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Textbook for an algorithm course focusing on programming as well as a programming course focusing on algorithms. The book is specially designed to train students to participate in competitions - the ACM International Collegiate Programming Contest.
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This book on the design of algorithms and data structures for text processing emphasizes both theoretical foundations and practical applications. It will serve both as a textbook for courses on algorithm design and as a reference for professionals.
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This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner.