Introduction to Algorithms 4th Ed (MIT Press)
Wednesday, 20 April 2022

This book claims to combine rigor and comprehensiveness. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein cover a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. This comprehensive update has new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.

<ASIN:026204630X>

 

Author: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein
Publisher: MIT Press
Date: April 2022
Pages: 1312
ISBN: 978-0262046305
Print: 026204630X
Kindle: B09XJBVNQR
Audience: general
Level: Intermediate
Category: Theory & Techniques 

Mike James gave the previous (2009) edition of this book a top 5-star rating. See his full review and for recommendations of similar books see our round-up on our Programmer's Bookshelf section

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Assembly x64 Programming

Author: Mike McGrath
Publisher: Easy Steps
Date: November 2021
Pages: 192
ISBN: 978-1840789522
Print: 1840789522
Kindle: ‎B09FTNN4P5
Audience: Developers wanting to learn assembler
Rating: 5
Reviewer: Harry Fairhead
Assembler, why would you want to learn that!



Artificial Intelligence and Expert Systems (Mercury Learning)

Authors: I. Gupta & G. Nagpa
Publisher: Mercury Learning
Pages: 412
ISBN: 978-1683925071
Print: 1683925076
Kindle: B087785GZM
Audience: Technically able readers
Rating: 4
Reviewer: Mike James
Expert Systems, anyone?


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