Progress in Approximation Theory and Applicable Complex Analysis In
Current and historical research methods in approximation theory are presented in this book beginning with the 1800s and following the evolution of approximation theory via the refinement and extension of classical methods and ending with recent techniques
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Narendra Kumar Govil Ram Mohapatra Mohammed A. Qazi Gerhard Schmeisser Editors
Progress in Approximation Theory and Applicable Complex Analysis In Memory of Q.I. Rahman
Springer Optimization and Its Applications VOLUME 117 Managing Editor Panos M. Pardalos (University of Florida) Editor–Combinatorial Optimization Ding-Zhu Du (University of Texas at Dallas) Advisory Board J. Birge (University of Chicago) C.A. Floudas (Texas A & M University) F. Giannessi (University of Pisa) H.D. Sherali (Virginia Polytechnic and State University) T. Terlaky (Lehigh University) Y. Ye (Stanford University)
Aims and Scope Optimization has been expanding in all directions at an astonishing rate during the last few decades. New algorithmic and theoretical techniques have been developed, the diffusion into other disciplines has proceeded at a rapid pace, and 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 all areas of applied mathematics, engineering, medicine, economics, and other sciences. The series Springer Optimization and Its Applications publishes undergraduate and graduate textbooks, monographs and state-of-the-art expository work that focus on algorithms for solving optimization problems and also study applications involving such problems. Some of the topics covered include nonlinear optimization (convex and nonconvex), network flow problems, stochastic optimization, optimal control, discrete optimization, multi-objective programming, description of software packages, approximation techniques and heuristic approaches.
More information about this series at http://www.springer.com/series/7393
Narendra Kumar Govil • Ram Mohapatra Mohammed A. Qazi • Gerhard Schmeisser Editors
Progress in Approximation Theory and Applicable Complex Analysis In Memory of Q.I. Rahman
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Editors Narendra Kumar Govil Department of Mathematics and Statistics Auburn University Auburn, AL, USA Mohammed A. Qazi Department of Mathematics Tuskegee University Tuskegee, AL, USA
Ram Mohapatra Department of Mathematics University of Central Florida Orlando, FL, USA Gerhard Schmeisser Department of Mathematics University of Erlangen-Nuremberg Erlangen, Germany
ISSN 1931-6828 ISSN 1931-6836 (electronic) Springer Optimization and Its Applications ISBN 978-3-319-49240-7 ISBN 978-3-319-49242-1 (eBook) DOI 10.1007/978-3-319-49242-1 Library of Congress Control Number: 2017930625 Mathematics Subject Classification (2010): 11Y35, 26A33, 26D15, 30A10, 30B10, 30C10, 30C15, 30C35, 30C45, 30C80, 30D35, 30E10, 30H05, 31A10, 33C45, 33C47, 41A10, 41A17, 41A20, 41A21, 41A25, 41A30, 41A40, 41A50, 41A52, 41A55, 41A80, 42A05, 42A15, 42A82, 42C05, 42C10, 42C15, 46C05, 47A07, 49J40, 65B10, 65B15, 65D30, 65D32, 65N30, 90C33. © Springer International Publishing AG 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or pa
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