| 书目名称 | Computational Mathematics and Variational Analysis | | 编辑 | Nicholas J. Daras,Themistocles M. Rassias | | 视频video | http://file.papertrans.cn/233/232667/232667.mp4 | | 概述 | Covers a wide spectrum of interdisciplinary topics with technological applications.Provides extensive bibliographies for independent study and future research.Appeals to researchers in mathematics, en | | 丛书名称 | Springer Optimization and Its Applications | | 图书封面 |  | | 描述 | .This volume presents a broad discussion of computational methods and theories on various classical and modern research problems from pure and applied mathematics. Readers conducting research in mathematics, engineering, physics, and economics will benefit from the diversity of topics covered. Contributions from an international community treat the following subjects: calculus of variations, optimization theory, operations research, game theory, differential equations, functional analysis, operator theory, approximation theory, numerical analysis, asymptotic analysis, and engineering..Specific topics include algorithms for difference of monotone operators, variational inequalities in semi-inner product spaces, function variation principles and normed minimizers, equilibria of parametrized N-player nonlinear games, multi-symplectic numerical schemes for differential equations, time-delay multi-agent systems, computational methods in non-linear design of experiments, unsupervisedstochastic learning, asymptotic statistical results, global-local transformation, scattering relations of elastic waves, generalized Ostrowski and trapezoid type rules, numerical approximation, Szász Durrmeye | | 出版日期 | Book 2020 | | 关键词 | Mathematical Analysis; Differential Equations; Numerical Analysis; Approximation Theory; Complex Analysi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-44625-3 | | isbn_softcover | 978-3-030-44627-7 | | isbn_ebook | 978-3-030-44625-3Series ISSN 1931-6828 Series E-ISSN 1931-6836 | | issn_series | 1931-6828 | | copyright | Springer Nature Switzerland AG 2020 |
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