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Více informací o knize C Data Structures and Algorithms

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Anotace knihy

"C Data Structures and Algorithms: Implementing Efficient ADTs" sets a new standard for mastering the intricacies of data structures and algorithms using the C programming language. Designed for seasoned programmers, this book presents a meticulously detailed exploration of key concepts that are essential for constructing high-performance software. Each chapter delves into fundamental and advanced topics, from memory management and linear structures to sophisticated algorithms and optimization techniques, equipping readers with an unparalleled toolkit for tackling complex challenges in computing.

Readers will appreciate the book's emphasis on practical implementation, where theoretical constructs are consistently linked to real-world applications. By providing a robust foundation in both classic and cutting-edge data structures, the text fosters an understanding of their significance in improving program efficiency and effectiveness. Additionally, the book's clear, concise explanations of sorting, searching, and dynamic programming offer insights into selecting the most appropriate algorithms based on specific problem requirements.

Authored by an industry expert, this book not only imparts essential skills but also encourages a deeper inquiry into algorithmic problem solving. With its focus on the C language, known for its control and precision, "C Data Structures and Algorithms: Implementing Efficient ADTs" is an invaluable resource for professionals aiming to elevate their coding prowess. This comprehensive guide ensures that readers are well-prepared to implement data-driven solutions with confidence and competence.

Parametry knihy

• Plný název: C Data Structures and Algorithms
• Podnázev: Implementing Efficient ADTs
• Autor: Larry Jones
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 466
• EAN: 9798314293621
• ID: 50753053
• Nakladatelství: Independently published
• Hmotnost: 620 g
• Rozměry: 229 × 152 × 24 mm
• Datum vydání: 16. March 2025

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