|Algorithms Illuminated - Part 4 (Soundlikeyourself Publishing)|
|Friday, 07 August 2020|
Algorithms for NP-Hard Problems is the fourth book in a series that provides an accessible, no-nonsense, and programming language-agnostic introduction to algorithms. The book includes hints or solutions to all quizzes and problems, and is accompanied by a series of YouTube videos by the author Tim Roughgarden, a Professor of Computer Science at Columbia University and well known to us for the Coursera Algorithms Specialization from when he was at Stanford University. Part 4, both of the Coursera series of courses and the set of books, covers algorithmic tools for tackling NP-hard problems (heuristic algorithms, local search, dynamic programming, MIP and SAT solvers) and techniques for quickly recognizing NP-hard problems in the wild.
Author: Tim Roughgarden
See also the Book Watch for Algorithms Illuminated, Part 3
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