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Theory and Practice of Optimization Algorithms - Ehab Morsy

Theory and Practice of Optimization Algorithms

(Autor)

Buch | Hardcover
231 Seiten
2025 | Unabridged edition
Cambridge Scholars Publishing (Verlag)
978-1-0364-5311-4 (ISBN)
CHF 118,70 inkl. MwSt
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This book focus on the theory and practice of discrete optimization. The book contains an explanation of many different continuous and discrete algorithms designed for optimizing different problems and applications. The subjects addressed in this book are important for both mathematics and computer science researchers. I hope that the readers of this book will find many fruitful ideas for their own future research in the field of discrete optimization.Discrete optimization is an important area of applied mathematics that is at the intersection of several disciplines and covers both theoretical and practical aspects. I present new theoretical results, structural investigations, new models, and algorithmic approaches, as well as new applications of discrete optimization problems. Among the possible subjects, integer programming, combinatorial optimization, optimization problems on graphs and networks, scheduling, and logistics are mentioned, to name a few. This book is of high quality, reflecting the great interest in the area of discrete optimization.

Ehab Morsy was born in Egypt on January 8, 1974. He received B.S. and M.S. degrees from the Department of Mathematics and Computer Science, Suez Canal University, Ismailia, Egypt, in 1996, and in 2002, respectively. He received a PhD degree from the Graduate School of Informatics, Kyoto University, Kyoto, Japan in 2009. Currently, he is appointed as an associate Professor at the Department of Mathematics, Suez Canal University, Ismailia, Egypt. His research interests include Discrete Optimization, Algorithms design and Analysis, Graph Algorithms, Combinatorial Optimization, Network Routing Problems, Scheduling Problems, and Distributed Algorithms.

Erscheinungsdatum
Verlagsort Newcastle upon Tyne
Sprache englisch
Maße 148 x 212 mm
Themenwelt Informatik Theorie / Studium Algorithmen
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
ISBN-10 1-0364-5311-1 / 1036453111
ISBN-13 978-1-0364-5311-4 / 9781036453114
Zustand Neuware
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