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Mathematical Analysis in Interdisciplinary Research (eBook)

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2022 | 1st ed. 2021
X, 1060 Seiten
Springer International Publishing (Verlag)
978-3-030-84721-0 (ISBN)

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This contributed volume provides an extensive account of research and expository papers in a broad domain of mathematical analysis and its various applications to a multitude of fields. Presenting the state-of-the-art knowledge in a wide range of topics, the book will be useful to graduate students and researchers in theoretical and applicable interdisciplinary research. The focus is on several subjects including: optimal control problems, optimal maintenance of communication networks, optimal emergency evacuation with uncertainty, cooperative and noncooperative partial differential systems, variational inequalities and general equilibrium models, anisotropic elasticity and harmonic functions, nonlinear stochastic differential equations, operator equations, max-product operators of Kantorovich type, perturbations of operators, integral operators, dynamical systems involving maximal monotone operators, the three-body problem, deceptive systems, hyperbolic equations, strongly generalized preinvex functions, Dirichlet characters, probability distribution functions, applied statistics, integral inequalities, generalized convexity, global hyperbolicity of spacetimes, Douglas-Rachford methods, fixed point problems, the general Rodrigues problem, Banach algebras, affine group, Gibbs semigroup, relator spaces, sparse data representation, Meier-Keeler sequential contractions, hybrid contractions, and polynomial equations.  Some of the works published within this volume provide as well guidelines for further research and proposals for new directions and open problems.



Ioannis N. Parasidis received a Ph.D. in mathematical analysis from Kazakh State University in Kazakhstan in 1989. He worked in the Kazakh State University until 1994 and he is now a professor in the University of Thessaly in Greece. His research interests are extensions of operators, boundary value problems for differential, integro-differential and loaded equations, spectral and inverse problems, and difference equations.

Efthimios Providas received a Ph.D. in numerical analysis from Brunel University in UK in 1990. He is an associate professor in the University of Thessaly in Greece. His expertise includes applied mathematics, numerical analysis, finite element methods and boundary value problems for differential, integro-differential, loaded and difference equations.
 
Themistocles M. Rassias is professor of mathematics at the National Technical University of Athens. His research interests include nonlinear analysis, global analysis, approximation theory, functional analysis, functional equations, inequalities and their applications. Professor Rassias received his PhD in mathematics from the University of California, Berkeley in 1976; his thesis advisor was Stephen Smale and his academic advisor was Shiing-Shen Chern. In addition to his extensive list of journal publications, professor Rassias has published as author or volume editor several books published with Springer. Th. M. Rassias has received several awards and is an active editorial board member of an array of journals in mathematical analysis and optimization. His publications have received a large number of citations, with h-index 47 (in 2021).
Erscheint lt. Verlag 10.3.2022
Reihe/Serie Springer Optimization and Its Applications
Springer Optimization and Its Applications
Zusatzinfo X, 1060 p. 52 illus., 27 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Analysis
Schlagworte Atomic decompositions • boundary value problems • cryptography • Data Mining • Dynamics • Euclidean Harmonic Analysis • Fourier series • function spaces • Global Optimization • Hyperbolic equations • integro-differential operators • Interpolation • Laplace operators • massive computing • Network Design Problems • optimal control • Singular Integrals • spectral properties • time-frequency analysis • weighted inequalities
ISBN-10 3-030-84721-7 / 3030847217
ISBN-13 978-3-030-84721-0 / 9783030847210
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