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H?rmander Spaces, Interpolation, and Elliptic Problems, Vladimir A. Mikhailets, Aleksandr A. Murach


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Автор: Vladimir A. Mikhailets, Aleksandr A. Murach
Название:  H?rmander Spaces, Interpolation, and Elliptic Problems
ISBN: 9783110296853
Издательство: Walter de Gruyter
Классификация:

ISBN-10: 3110296853
Обложка/Формат: Hardback
Страницы: 309
Вес: 0.69 кг.
Дата издания: 14.04.2014
Серия: Mathematics
Язык: English
Размер: 244 x 170 x 19
Читательская аудитория: Professional and scholarly
Ключевые слова: Calculus & mathematical analysis, MATHEMATICS / Functional Analysis,MATHEMATICS / Mathematical Analysis
Основная тема: MATHEMATICS / Functional Analysis,MATHEMATICS / Mathematical Analysis
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: The series is devoted to the publication of monographs and high-level textbooks in mathematics, mathematical methods and their applications. Apart from covering important areas of current interest, a major aim is to make topics of an interdisciplinary nature accessible to the non-specialist. The works in this series are addressed to advanced students and researchers in mathematics and theoretical physics. In addition, it can serve as a guide for lectures and seminars on a graduate level. The series de Gruyter Studies in Mathematics was founded ca. 35 years ago by the late Professor Heinz Bauer and Professor Peter Gabriel with the aim to establish a series of monographs and textbooks of high standard, written by scholars with an international reputation presenting current fields of research in pure and applied mathematics.While the editorial board of the Studies has changed with the years, the aspirations of the Studies are unchanged. In times of rapid growth of mathematical knowledge carefully written monographs and textbooks written by experts are needed more than ever, not least to pave the way for the next generation of mathematicians. In this sense the editorial board and the publisher of the Studies are devoted to continue the Studies as a service to the mathematical community. Please submit any book proposals to Niels Jacob. Titles in planning includeFlavia Smarazzo and Alberto Tesei, Measure Theory: Radon Measures, Young Measures, and Applications to Parabolic Problems (2019)Elena Cordero and Luigi Rodino, Time-Frequency Analysis of Operators (2019)Mark M. Meerschaert, Alla Sikorskii, and Mohsen Zayernouri, Stochastic and Computational Models for Fractional Calculus, second edition (2020)Mariusz Lemanczyk, Ergodic Theory: Spectral Theory, Joinings, and Their Applications (2020)Marco Abate, Holomorphic Dynamics on Hyperbolic Complex Manifolds (2021)Miroslava Antic, Joeri Van der Veken, and Luc Vrancken, Differential Geometry of Submanifolds: Submanifolds of Almost Complex Spaces and Almost Product Spaces (2021)Kai Liu, Ilpo Laine, and Lianzhong Yang, Complex Differential-Difference Equations (2021)Rajendra Vasant Gurjar, Kayo Masuda, and Masayoshi Miyanishi, Affine Space Fibrations (2022)


Smoothed Point Interpolation Methods: G Space Theory and Weakened Weakforms

Автор: Liu G-R, Zhang G-Y
Название: Smoothed Point Interpolation Methods: G Space Theory and Weakened Weakforms
ISBN: 981445284X ISBN-13(EAN): 9789814452847
Издательство: World Scientific Publishing
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Цена: 34848.00 р.
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Описание: Based on the widely used finite element method (FEM) and the latest Meshfree methods, a next generation of numerical method called Smoothed Point Interpolation Method (S-PIM) has been recently developed. The S-PIM is an innovative and effective combination of the FEM and the meshfree methods, and enables automation in computation, modeling and simulations -- one of the most important features of the next generation methods. This important book describes the various S-PIM models in a systematic, concise and easy-to-understand manner. The underlying principles for the next generation of computational methods, G space theory, novel weakened weak (W2) formulations, techniques for shape functions, formulation procedures, and implementation strategies are presented in detail. Numerous examples are provided to demonstrate the efficiency and accuracy of the S-PIM solutions in comparison with the FEM and other existing methods. Effective techniques to compute solution bounds employing both S-PIM and FEM are highlighted to obtain certified solutions with both upper and lower bounds.The book also presents a systematically way to conduct adaptive analysis for solutions of desired accuracy using these bound properties, which is another key feature of the next generation of computational methods. This will benefit researchers, engineers and students who are venturing into new areas of research and computer code development.

Nonlinear Interpolation And Boundary Value Problems

Автор: Eloe Paul W Et Al
Название: Nonlinear Interpolation And Boundary Value Problems
ISBN: 9814733474 ISBN-13(EAN): 9789814733472
Издательство: World Scientific Publishing
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Цена: 13939.00 р.
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Описание: This book is devoted to the study of boundary value problems for nonlinear ordinary differential equations and focuses on questions related to the study of nonlinear interpolation.

Iterative-Interpolation Super-Resolution Image Reconstruction

Автор: Vivek Bannore
Название: Iterative-Interpolation Super-Resolution Image Reconstruction
ISBN: 3642101453 ISBN-13(EAN): 9783642101458
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents a novel, hybrid, computationally-efficient reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images.

Interpolation and Extrapolation Optimal Designs V1: Polynomial Regression and Approximation Theory

Автор: Giorgio Celant, Michel Broniatowski
Название: Interpolation and Extrapolation Optimal Designs V1: Polynomial Regression and Approximation Theory
ISBN: 1848219954 ISBN-13(EAN): 9781848219953
Издательство: Wiley
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Цена: 22010.00 р.
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Описание:

This book is the first of a series which focuses on the interpolation and extrapolation of optimal designs, an area with significant applications in engineering, physics, chemistry and most experimental fields.

In this volume, the authors emphasize the importance of problems associated with the construction of design. After a brief introduction on how the theory of optimal designs meets the theory of the uniform approximation of functions, the authors introduce the basic elements to design planning and link the statistical theory of optimal design and the theory of the uniform approximation of functions.

The appendices provide the reader with material to accompany the proofs discussed throughout the book.


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