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Myers D Data Structures and Algorithms in Java A Project-Based Approach 2025
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[Image: 5efca8d4ab116f77334d7e48d4e2c474.jpg]

Myers D Data Structures and Algorithms in Java A Project-Based Approach 2025 | 7.94 MB

Title: Data Structures and Algorithms in Java: A Project-Based Approach
Author: Myers, Dan S.



Description:
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.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

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