Beyond Notation
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Beyond Notation
Author: Rebecca Y. Kim
language: en
Publisher: University of Michigan Press
Release Date: 2017-09-28
The first comprehensive survey of the groundbreaking work of Earle Brown, augmented with several newly published items from his personal archive
The Unified Modeling Language. “UML”'98: Beyond the Notation
This volume contains mainly the revised versions of papers presented at the wo- shop '98, "Beyond the Notation", that took place in Mulhouse, France on June 3-4, 1998. We thank all those that have made this possible, and particularly all the people in Mulhouse that worked hard to make this meeting a success, with such a short delay between the announcement and the realization. We are specially grateful to Nathalie Gaertner, who put in a tremendous amount of effort in the initial preparation of the workshop. We were pleasantly surprised of the quality of the submitted material and of the level of the technical exchanges at the Mulhouse meeting. More than one hundred attendees, from about twenty different countries, representing the main actors in the UML research and development scene, gathered in Mulhouse for two full study days. We would like to express our deepest appreciation to the authors of submitted - pers, the editorial committee for this volume, the program committee for the initial workshop, the external referees, and many others who contributed towards the final contents of this volume. April 1999 Jean Bézivin Pierre-Alain Muller
Data Structures Beyond Boundaries
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-07-09
In an era defined by data, the mastery of data structures has become an indispensable skill for anyone aspiring to thrive in the digital realm. This comprehensive book provides a thorough exploration of data structures, empowering readers with the knowledge and skills to harness the power of data and unlock its full potential. Delving into the intricacies of various data structures, this book offers a comprehensive understanding of their concepts, applications, and significance in modern computing. It delves into the mechanisms of each data structure, examining how they store and manipulate data, and analyzes the algorithms that operate on them. Through practical examples and real-world scenarios, readers will gain a deep appreciation for the transformative role of data structures in solving complex computing problems. Furthermore, this book explores the symbiotic relationship between data structures and algorithms, demonstrating how the choice of an appropriate data structure can dramatically impact an algorithm's efficiency and performance. It guides readers through the art of selecting the optimal data structure for a given problem, considering factors such as time complexity, space requirements, and the specific operations that need to be performed on the data. Additionally, the book investigates the role of data structures in object-oriented programming, demonstrating how they can be leveraged to create modular, reusable, and maintainable software systems. It also delves into the exciting realm of emerging trends in data structures, such as quantum computing and big data, examining how these advancements are shaping the future of data management and processing. With its in-depth explanations, illustrative examples, and practical insights, this book is an invaluable resource for students, professionals, and anyone seeking to master data structures and their applications. It empowers readers to tackle complex data-centric problems, design efficient algorithms, and develop robust software systems that effectively harness the power of data. If you like this book, write a review!