Algorithmic Thinking: A Problem-Based Introduction (Final Release)-P2P
A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer.
Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You’ll learn how to classify problems, choose data structures, and identify appropriate algorithms. You’ll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems.

Algorithmic Thinking: A Problem-Based Introduction (Final Release)-P2P
English | 2021 | ISBN-13 : 978-1718500808 | 410 Pages | True (PDF, EPUB, MOBI) + Code| 67.7 MB
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