Mathematical Analysis and Applications
An international community of experts comprise the research and survey contributions in this volume which covers a broad spectrum of areas in which analysis plays a central role. Contributions discuss theory and problems in real and complex analysis, func
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Themistocles M. Rassias Panos M. Pardalos Editors
Mathematical Analysis and Applications
Springer Optimization and Its Applications Volume 154 Managing Editor Panos M. Pardalos (University of Florida) My T. Thai (University of Florida) Editor-Combinatorial Optimization Ding-Zhu Du (University of Texas at Dallas) Advisory Board J. Birge (University of Chicago) S. Butenko (Texas A&M University) F. Giannessi (University of Pisa) S. Rebennack (Karlsruhe Institute of Technology) T. Terlaky (Lehigh University) Y. Ye (Stanford University)
Aims and Scope Optimization has continued to expand in all directions at an astonishing rate. New algorithmic and theoretical techniques are continually developing and the diffusion into other disciplines is proceeding at a rapid pace, with a spot light on machine learning, artificial intelligence, and quantum computing. Our knowledge of all aspects of the field has grown even more profound. At the same time, one of the most striking trends in optimization is the constantly increasing emphasis on the interdisciplinary nature of the field. Optimization has been a basic tool in areas not limited to applied mathematics, engineering, medicine, economics, computer science, operations research, and other sciences. The series Springer Optimization and Its Applications (SOIA) aims to publish state-of-the-art expository works (monographs, contributed volumes, textbooks, handbooks) that focus on theory, methods, and applications of optimization. Topics covered include, but are not limited to, nonlinear optimization, combinatorial optimization, continuous optimization, stochastic optimization, Bayesian optimization, optimal control, discrete optimization, multi-objective optimization, and more. New to the series portfolio include Works at the intersection of optimization and machine learning, artificial intelligence, and quantum computing. Volumes from this series are indexed by Web of Science, zbMATH, Mathematical Reviews, and SCOPUS.
More information about this series at http://www.springer.com/series/7393
Themistocles M. Rassias • Panos M. Pardalos Editors
Mathematical Analysis and Applications
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Editors Themistocles M. Rassias Department of Mathematics Zografou Campus National Technical University of Athens Athens, Greece
Panos M. Pardalos Department of Industrial and Systems Engineering University of Florida Gainesville, FL, USA
ISSN 1931-6828 ISSN 1931-6836 (electronic) Springer Optimization and Its Applications ISBN 978-3-030-31338-8 ISBN 978-3-030-31339-5 (eBook) https://doi.org/10.1007/978-3-030-31339-5 Mathematics Subject Classification: 26-XX, 28-XX, 30-XX, 32-XX, 35-XX, 91-XX © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptat
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