Advanced Algorithms and Data Structures
Marcello La Rocca
  • MEAP began July 2019
  • Publication in April 2021 (estimated)
  • ISBN 9781617295485
  • 746 pages (estimated)
  • printed in black & white

Look no further if you're looking for way to bridge the stuff from computer science courses to the pragmatic world of software development.

George Thomas

As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.

About the Technology

Data structures and algorithms are the foundations for how programs store and process information. Choosing the optimal algorithms ensures that your programs are fast, efficient, and reliable.

About the book

Advanced Algorithms and Data Structures introduces you to a diverse range of algorithms you’ll use in web applications, systems programming, and data manipulation. Chapter-by-chapter, the book expands on the basic algorithms you’ll already know to give you a better selection of solutions to different programming problems. In it, you’ll discover techniques for improving priority queues, efficient caching, clustering data, and more. Each example is fully illustrated with graphics, language-agnostic pseudo-code, and code samples in various languages. When you’re done, you will be able to implement advanced and little-known algorithms to deliver better performance from your code. You’ll even have the skills to design your own data structures to solve those cases when a custom solution is required.

What's inside

  • Improving on basic data structures
  • Efficient caching
  • Nearest neighbour search, including k-d trees and S-trees
  • Full ‘pseudo-code’ and samples in multiple languages

About the reader

For programmers with basic or intermediate skills. Written in a language-agnostic manner, no specific language knowledge is required.

About the author

Marcello La Rocca is a research scientist and a full-stack engineer focused on optimization algorithms, genetic algorithms, machine learning and quantum computing. He has contributed to large-scale web applications at companies like Twitter and Microsoft, has undertaken applied research in both academia and industry, and authored the Neatsort adaptive sorting algorithm.

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