Algorithm Design and Analysis

Nora Schmidt

ISBN 13: 9798887158990

Published by Oryson Press Aug 2026, 2026

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -Algorithms: Design and Analysis addresses the critical need for efficient and robust computational solutions in an increasingly data-driven world. The ability to design, implement, and analyze algorithms is fundamental to advancing technology, yet it presents significant challenges in ensuring correctness, optimizing performance, and selecting appropriate structures for diverse problem sets. Understanding algorithmic principles is paramount for tackling complex computing tasks effectively and sustainably.This book systematically explores foundational algorithmic concepts, from formalization and termination to amortized analysis and greedy approaches. It delves into essential data structures like heaps, B-trees, and dynamic order-statistic trees, alongside advanced graph algorithms such as maximum flow and shortest path solutions. Key topics include the Master's Theorem for performance analysis, dynamic programming paradigms applied to classic problems, and a comprehensive comparison of various sorting techniques. Principles of algorithm design, including cohesion and data analysis, are also thoroughly examined.This comprehensive resource is indispensable for students, researchers, and professionals seeking a deep understanding of algorithm design, analysis, and practical application. 268 pp. Englisch.

Seller Inventory # 9798887158990

Bibliographic Details

• Title: Algorithm Design and Analysis
• Publisher: Oryson Press Aug 2026
• Publication Date: 2026
• Language: English
• ISBN 13: 9798887158990
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 19D millimeters 260 millimeters width by 183 millimeters height by 19 millimeters depth
• Weight: 705 grams

About this title

Synopsis

Algorithms: Design and Analysis addresses the critical need for efficient and robust computational solutions in an increasingly data-driven world. The ability to design, implement, and analyze algorithms is fundamental to advancing technology, yet it presents significant challenges in ensuring correctness, optimizing performance, and selecting appropriate structures for diverse problem sets. Understanding algorithmic principles is paramount for tackling complex computing tasks effectively and sustainably. This book systematically explores foundational algorithmic concepts, from formalization and termination to amortized analysis and greedy approaches. It delves into essential data structures like heaps, B-trees, and dynamic order-statistic trees, alongside advanced graph algorithms such as maximum flow and shortest path solutions. Key topics include the Master's Theorem for performance analysis, dynamic programming paradigms applied to classic problems, and a comprehensive comparison of various sorting techniques. Principles of algorithm design, including cohesion and data analysis, are also thoroughly examined. This comprehensive resource is indispensable for students, researchers, and professionals seeking a deep understanding of algorithm design, analysis, and practical application.

About the Author

Nora Schmidt, holding a distinguished PhD, is an accomplished expert in core computer algorithms and advanced data structures. Her extensive work encompasses the rigorous analysis of algorithm performance, foundations of graph algorithms, principles of dynamic programming, and sophisticated algorithm design methodologies.