Название: Modern Data Structures and Algorithms in RustАвтор: Evan Pradipta Hardinatha, Jaisy Malikulmulki Arasy, Chevan Walidain
Издательство: RantAI Academy
Серия: Non-Numerical Series Book 2
Год: October 1, 2024
Страниц: 234
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
"Modern Data Structures and Algorithms in Rust" (DSAR) is a groundbreaking text that merges the time-honored concepts of data structures and algorithms with the modern, powerful features of the Rust programming language. Designed for both students and professionals, this book provides a deep dive into the fundamental (F), conceptual (C), and practical (P) implementation of algorithms, all while leveraging Rust’s unique capabilities for memory safety, concurrency, and performance. Explore the cutting-edge of software engineering with DSAR as your guide to mastering both theoretical and practical aspects of algorithm design in Rust.
The book is meticulously structured in FCP way to cover a broad range of topics, from the fundamentals to advanced and specialized areas. It begins by introducing readers to Rust’s core principles, including its ownership model, which ensures memory safety without a garbage collector, and its concurrency model, which allows for safe and efficient parallel processing. These foundational concepts are crucial for understanding how Rust can be used to implement robust and efficient data structures and algorithms.
As the book progresses, it delves into essential topics like sorting algorithms, order statistics, and a variety of data structures, including arrays, linked lists, stacks, queues, and trees. Each chapter is crafted to not only explain the theoretical underpinnings of these concepts but also to demonstrate their practical applications through detailed Rust implementations. The use of Rust's strong type system, pattern matching, and powerful standard library is highlighted throughout, showing how these features contribute to the creation of safe and performant algorithms.
In the later parts of the book, readers are introduced to more advanced topics, such as dynamic programming, greedy algorithms, and graph algorithms, with a focus on how Rust’s concurrency features can be harnessed to optimize performance. The book also includes sections on cryptographic algorithms and numerical methods, which are essential for modern applications in security and scientific computing.
The final section of the DSAR book sets it apart by exploring cutting-edge topics that connect traditional algorithmic theory with modern technologies like artificial intelligence (AI) and blockchain. This includes chapters on data structures and algorithms specifically tailored for neural networks and AI, as well as those fundamental to blockchain technology. These chapters provide readers with the knowledge and tools needed to implement efficient AI models and secure blockchain systems using Rust.
"Data Structures and Algorithms in Rust" is more than just a textbook; it is a comprehensive guide that equips readers with the knowledge to apply classical algorithmic concepts in modern, real-world contexts. Whether you are building high-performance systems, developing AI applications, or designing secure blockchain platforms, this book provides the foundational knowledge and practical insights needed to excel in the rapidly evolving field of software engineering.
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