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Data Structures in Depth Using C++
Faculty
Computer Science
Year:
2025
Type of Publication:
ZU Hosted
Pages:
365
Authors:
Mahmoud Abdel Moneim Mahdi Abdul Rahman
Staff Zu Site
Abstract In Staff Site
Journal:
1 Apress Berkeley, CA
Volume:
Keywords :
Data Structures , Depth Using ,
Abstract:
Understand and implement data structures and bridge the gap between theory and application. This book covers a wide range of data structures, from basic arrays and linked lists to advanced trees and graphs, providing readers with in-depth insights into their implementation and optimization in C++. You’ll explore crucial topics to optimize performance and enhance their careers in software development. In today's environment of growing complexity and problem scale, a profound grasp of C++ data structures, including efficient data handling and storage, is more relevant than ever. This book introduces fundamental principles of data structures and design, progressing to essential concepts for high-performance application. Finally, you’ll explore the application of data structures in real-world scenarios, including case studies and use in machine learning and big data. This practical, step-by-step approach, featuring numerous code examples, performance analysis and best practices, is written with a wide range of C++ programmers in mind. So, if you’re looking to solve complex data structure problems using C++, this book is your complete guide.
Author Related Publications
Mahmoud Abdel Moneim Mahdi Abdul Rahman, "Scalable Clustering Algorithms for Big data: A Review", IEEE, 2021
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Mahmoud Abdel Moneim Mahdi Abdul Rahman, "FR-Tree: A novel rare association rule for big data problem", scinapse, 2022
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Mahmoud Abdel Moneim Mahdi Abdul Rahman, "View-Aware Pose Analysis: A Robust Pipeline for Multi-Person Joint Injury Prediction from Single Camera", MDPI, 2025
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Mahmoud Abdel Moneim Mahdi Abdul Rahman, "A PROACTIVE INTELLIGENT E-COMMERCE ENVIRONMENT", 2024
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Mahmoud Abdel Moneim Mahdi Abdul Rahman, "A Concurrent Tree-Based Clustering Approach for Big Data Applications", 2024
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Department Related Publications
Abdul Wahid Ibrahim Mahmoud Khamis, "Cameraphone Recognition of Arabic Fingerspelling", International Journal of Computer Science and Information Technology & Security (IJCSITS), 2013
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Zaher Awad Aboelenieen Elhendy, "NEW APPROACH TO IMAGE EDGE DETECTION BASED ON QUANTUM ENTROPY", JOURNAL OF RUSSIAN LASER RESEARCH, 2016
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Doaa El-Shahat Barakat Mohammed, "A hybrid whale optimization algorithm based on local search strategy for the permutation flow shop scheduling problem", North-Holland, 2018
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Doaa El-Shahat Barakat Mohammed, "A binary multi-verse optimizer for 0-1 multidimensional knapsack problems with application in interactive multimedia systems", Elsevier, 2019
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