A Textbook of Data Structures and Algorithms 3 (Wiley)
Wednesday, 01 February 2023

This set of textbooks targets novice learners aspiring to acquire advanced knowledge of the topic of data structures and algorithms. and the material has been split across three volumes to help readers in their progression from novice to expert. Throughout the series G A Vijayalakshmi Pai details concepts, techniques and applications pertaining to data structures and algorithms, independent of any programming language.

<ASIN:1786308924>

This final volume, subtitled "Mastering Advanced Data Structures and Algorithm Design Strategies" includes 181 illustrative problems and 276 review questions to reinforce a theoretical understanding and presents a suggestive list of 108 programming assignments to aid in the implementation of the methods covered.

Author: G A Vijayalakshmi Pai
Publisher: Wiley-ISTE
Date: January 2023
Pages: 368
ISBN: 978-1786308924
Print: 1786308924
Kindle: B0BQZGWDWK
Audience: People interested in data structures
Level: Intermediate/Advanced
Category: Theory & Techniques 

textdata

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Adventures of a Computational Explorer

Author: Stephen Wolfram
Publisher: Wolfram Media
Pages: 432
ISBN: 978-1579550264
Print:1579550266
Kindle: B07Z6BYVSC
Audience: Fans of  Stephen Wolfram
Rating:  3
Reviewer: Alex Armstrong
A personal account of being a computer geek?



Mathematics for Machine Learning

Authors: Marc Peter Deisenroth, Aldo Faisal and Cheng Soon Ong
Publisher: Cambridge University Press
Pages: 398
ISBN: 978-1108455145
Print: 110845514X
Kindle: B083M7DBP6
Audience: Developers interested in machine learning
Rating: 3.5
Reviewer: Mike James
Lots of people need to learn the math behind mach [ ... ]


More Reviews