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Advanced Algorithms and Data Structures

Marcello La Rocca

Paperback769 Pages
PublisherManning
Edition1
LanguageEnglish
Year2021
ISBN9781617295485
1K
A622
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کیفیت متن:اورجینال انتشارات
قطع:B5
رنگ صفحات:دارای متن و کادر رنگی
پشتیبانی در روزهای تعطیل!
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#Algorithms

#Data_Structures

#software_engineer

#graphs

توضیحات

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

Can you improve the speed and efficiency of your applications without investing in new hardware? Well, yes, you can: Innovations in algorithms and data structures have led to huge advances in application performance. Pick up this book to discover a collection of advanced algorithms that will make you a more effective developer.


About the book

Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. You’ll discover cutting-edge approaches to a variety of tricky scenarios. You’ll even learn to design your own data structures for projects that require a custom solution.


What's inside:

  • •  Build on basic data structures you already know
  • •  Profile your algorithms to speed up application
  • •  Store and query strings efficiently
  • •  Distribute clustering algorithms with Map Reduce
  • •  Solve logistics problems using graphs and optimization algorithms


About the audience
For intermediate programmers.


About the author

Marcello La Rocca is a research scientist and a full-stack engineer. His focus is on optimization algorithms, genetic algorithms, machine learning, and quantum computing.

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