Описание: Optimization theory and techniques are a primary area of study under applied mathematics. This book on mathematical optimization and modeling seeks to delve into its various concepts, theories and models. Different approaches, evaluations, methodologies and advanced studies on mathematical optimization have been included in this text which will provide useful insights to the readers. Mathematical theory of uncertainty, optimization under uncertainty, applications of uncertainty, etc. are some of the topics discussed extensively in this book. As this field is emerging at a rapid pace, the contents of the book will help the readers understand the upcoming concepts and prospective applications of mathematical modeling and mathematical optimization.
Автор: Martin Tak??; Tamas Terlaky Название: Modeling and Optimization: Theory and Applications ISBN: 3319666150 ISBN-13(EAN): 9783319666150 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on August 17-19, 2016.
Автор: Tam?s Terlaky; Frank E. Curtis Название: Modeling and Optimization: Theory and Applications ISBN: 1489996060 ISBN-13(EAN): 9781489996060 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on August 18-20, 2010.
Автор: Luis F. Zuluaga; Tam?s Terlaky Название: Modeling and Optimization: Theory and Applications ISBN: 1493946595 ISBN-13(EAN): 9781493946594 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on July 30-August 1, 2012. The conference brought together a diverse group of researchers and practitioners, working on both theoretical and practical aspects of continuous or discrete optimization. Topics presented included algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and addressed the application of optimization techniques in finance, logistics, health, and other important fields. The contributions contained in this volume represent a sample of these topics and applications and illustrate the broad diversity of ideas discussed at the meeting--
Автор: Luis F. Zuluaga; Tam?s Terlaky Название: Modeling and Optimization: Theory and Applications ISBN: 1461489865 ISBN-13(EAN): 9781461489863 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on July 30-August 1, 2012.
Описание: Presents the latest research trends and developments in the area of applied optimization methodologies and soft computing techniques for solving complex problems. Taking a multi-disciplinary approach, this critical publication is an essential reference source for engineers, managers, researchers, and post-graduate students.
Описание: Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends is a collection of the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing. Providing researchers, practitioners, and academicians with insight into a wide range of topics such as genetic algorithms, differential evolution, and ant colony optimization, this book compile the latest findings, analysis, improvements, and applications of technologies within metaheuristic computing.
Автор: George Yin; Qing Zhang Название: Modeling, Stochastic Control, Optimization, and Applications ISBN: 3030254976 ISBN-13(EAN): 9783030254971 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochastic Control, Optimization, and Related Applications, held at the Institute for Mathematics and Its Applications, University of Minnesota, during May and June, 2018. There were four week-long workshops during the conference. They are (1) stochastic control, computation methods, and applications, (2) queueing theory and networked systems, (3) ecological and biological applications, and (4) finance and economics applications. For broader impacts, researchers from different fields covering both theoretically oriented and application intensive areas were invited to participate in the conference. It brought together researchers from multi-disciplinary communities in applied mathematics, applied probability, engineering, biology, ecology, and networked science, to review, and substantially update most recent progress. As an archive, this volume presents some of the highlights of the workshops, and collect papers covering a broad range of topics.
Описание: This text provides a systematic treatment of stochastic optimization problems applied to finance by presenting the different existing methods: dynamic programming, viscosity solutions, backward stochastic differential equations and martingale duality methods.
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