Part II - Sorting and Searching Algorithms

Part II of "Modern Data Structures and Algorithms in Rust" delves into the essential algorithms that form the backbone of efficient data handling in software development: sorting and order statistics. It begins with an exploration of basic sorting algorithms, such as Insertion Sort, Selection Sort, and Bubble Sort, offering readers a thorough understanding of their principles, implementations in Rust, and performance characteristics. The discussion then advances to more sophisticated sorting techniques, including Merge Sort, Quick Sort, and Heap Sort, which are pivotal for handling larger and more complex datasets. The chapter also introduces hybrid sorting algorithms like TimSort, showcasing Rust's capabilities in optimizing these advanced methods. Finally, the focus shifts to order statistics, with detailed coverage of algorithms for finding medians, minimums, maximums, and other rank-based elements. The Median of Medians algorithm, a key technique for selection problems, is highlighted, along with practical implementations in Rust. Throughout Part II, the emphasis is on both the theoretical underpinnings and practical applications of these algorithms, ensuring that readers gain a deep and comprehensive understanding of how to leverage Rust's unique features for efficient algorithm design.