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.
by Ahmed Shamsul Arefin - Gyankosh Prokashoni
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.
by Thomas Niemann
Collection of algorithms for sorting and searching, and techniques for implementing dictionaries, with brief and intuitive descriptions. It is assumed that you know C, and that you are familiar with concepts such as arrays and pointers.
by Jorg Arndt
Aimed to programmers who are interested in the selected algorithms and those who want to create optimized code. It covers low level algorithms, combinatorial generation, fast orthogonal transforms, fast arithmetic, and algorithms for finite fields.