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Handbook of Variational Methods for Nonlinear Geometric Data, Grohs Philipp, Holler Martin, Weinmann Andreas


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Автор: Grohs Philipp, Holler Martin, Weinmann Andreas
Название:  Handbook of Variational Methods for Nonlinear Geometric Data
ISBN: 9783030313500
Издательство: Springer
Классификация:



ISBN-10: 3030313506
Обложка/Формат: Hardcover
Страницы: 701
Вес: 1.19 кг.
Дата издания: 04.04.2020
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 125 illustrations, color; 34 illustrations, black and white; xxvi, 701 p. 159 illus., 125 illus. in color.
Размер: 23.39 x 15.60 x 3.96 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book covers different, current research directions in the context of variational methods for non-linear geometric data.


Mathematical Methods in Engineering

Автор: Powers, Joseph M. (University of Notre Dame, Indiana) Sen, Mihir (University of Notre Dame, Indiana)
Название: Mathematical Methods in Engineering
ISBN: 1107037042 ISBN-13(EAN): 9781107037045
Издательство: Cambridge Academ
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Цена: 10138.00 р.
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Описание: This book is designed for engineering graduate students. It connects mathematics to a variety of methods used for engineering problems by walking the reader stepwise through examples that have been worked in detail, followed by numerous homework problems to reinforce learning and connect the subject matter to engineering applications.

Variational Methods in Image Segmentation

Автор: Jean-Michel Morel; Sergio Solimini
Название: Variational Methods in Image Segmentation
ISBN: 1468405691 ISBN-13(EAN): 9781468405699
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book contains both a synthesis and mathematical analysis of a wide set of algorithms and theories whose aim is the automatic segmen- tation of digital images as well as the understanding of visual perception.

Geometrical Methods in Variational Problems

Автор: N.A. Bobylov; S.V. Emel`yanov; S. Korovin
Название: Geometrical Methods in Variational Problems
ISBN: 9401059551 ISBN-13(EAN): 9789401059558
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Since the building of all the Universe is perfect and is cre- ated by the wisdom Creator, nothing arises in the Universe in which one cannot see the sense of some maXImum or mInImUm Euler God moves the Universe along geometrical lines Plato Mathematical models of most closed physical systems are based on vari- ational principles, i.e., it is postulated that equations describing the evolu- tion of a system are the Euler Lagrange equations of a certain functional. In this connection, variational methods are one of the basic tools for studying many problems of natural sciences. The first problems related to the search for extrema appeared as far back as in ancient mathematics. They go back to Archimedes, Appolonius, and Euclid. In many respects, the problems of seeking maxima and minima have stimulated the creation of differential calculus; the variational prin- ciples of optics and mechanics, which were discovered in the seventeenth and eighteenth centuries, gave impetus to an intensive development of the calculus of variations. In one way or another, variational problems were of interest to such giants of natural sciences as Fermat, Newton, Descartes, Euler, Huygens, 1. Bernoulli, J. Bernoulli, Legendre, Jacobi, Kepler, La- grange, and Weierstrass.

Variational and Level Set Methods in Image Segmentation

Автор: Amar Mitiche; Ismail Ben Ayed
Название: Variational and Level Set Methods in Image Segmentation
ISBN: 3642265626 ISBN-13(EAN): 9783642265624
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Image segmentation is used in a wide range of useful applications such as remote sensing, medicine, robotics, database search, and security. The text provides an overview of level set methods for image and image sequence segmentation.

Topological and Variational Methods with Applications to Nonlinear Boundary Value Problems

Автор: Dumitru Motreanu; Viorica Venera Motreanu; Nikolao
Название: Topological and Variational Methods with Applications to Nonlinear Boundary Value Problems
ISBN: 1493944746 ISBN-13(EAN): 9781493944743
Издательство: Springer
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Цена: 15372.00 р.
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Описание: With parallel treatment of smooth and non-smooth problems, this text on non-linear boundary value problems and related analysis has new material on Neumann problems involving non-homogeneous differential operators, seen here for the first time in book form.

Nonlinear Programming and Variational Inequality Problems

Автор: Michael Patriksson
Название: Nonlinear Programming and Variational Inequality Problems
ISBN: 1441948066 ISBN-13(EAN): 9781441948069
Издательство: Springer
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Цена: 26546.00 р.
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Описание: Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have frequently been surprised to find that many algorithms, however scattered in numerous journals, monographs and books, and described rather differently, are closely related to each other.

Nonlinear Analysis and Variational Problems

Автор: Panos M. Pardalos; Themistocles M. Rassias; Akhtar
Название: Nonlinear Analysis and Variational Problems
ISBN: 146142481X ISBN-13(EAN): 9781461424819
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The chapters in this volume, written by international experts from different fields of mathematics, are devoted to honoring George Isac, a renowned mathematician. They cover some important areas of nonlinear analysis and variational problems.

Scale Space and Variational Methods in Computer Vision

Автор: Xue-Cheng Tai; Knut Morken; Marius Lysaker; Knut-A
Название: Scale Space and Variational Methods in Computer Vision
ISBN: 3642022553 ISBN-13(EAN): 9783642022555
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book contains 71 original, scienti?c articles that address state-of-the-art researchrelatedto scale space and variationalmethods for image processing and computer vision.

Scale Space and Variational Methods in Computer Vision

Автор: Fran?ois Lauze; Yiqiu Dong; Anders Bjorholm Dahl
Название: Scale Space and Variational Methods in Computer Vision
ISBN: 3319587706 ISBN-13(EAN): 9783319587707
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book constitutes the refereed proceedings of the 6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017, held in Kolding, Denmark, in June 2017. The papers are organized in the following topical sections: Scale Space and PDE Methods;

Variational Methods in Imaging

Автор: Otmar Scherzer; Markus Grasmair; Harald Grossauer;
Название: Variational Methods in Imaging
ISBN: 1441921664 ISBN-13(EAN): 9781441921666
Издательство: Springer
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Цена: 9781.00 р.
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Описание: With its mathematically rigorous presentation, this book is a detailed treatment of the approach from an inverse problems point of view. It is geared towards graduate students and researchers in applied mathematics and can serve as a text for graduate courses.

Variational Methods for Discontinuous Structures

Автор: Gianni Dal Maso; Franco Tomarelli
Название: Variational Methods for Discontinuous Structures
ISBN: 3034894708 ISBN-13(EAN): 9783034894708
Издательство: Springer
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Описание: viii Preface Other talks were dedicated to specific problems of the calculus of variations: variational theory of weak or lower-dimensional structures, optimal transport prob- lems with free Dirichlet regions, higher order variational problems, symmetrization in the BV framework.

Scale Space and Variational Methods in Computer Vision

Автор: Jan Lellmann; Martin Burger; Jan Modersitzki
Название: Scale Space and Variational Methods in Computer Vision
ISBN: 3030223671 ISBN-13(EAN): 9783030223670
Издательство: Springer
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Описание: This book constitutes the proceedings of the 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019, held in Hofgeismar, Germany, in June/July 2019.

The 44 papers included in this volume were carefully reviewed and selected for inclusion in this book. They were organized in topical sections named: 3D vision and feature analysis; inpainting, interpolation and compression; inverse problems in imaging; optimization methods in imaging; PDEs and level-set methods; registration and reconstruction; scale-space methods; segmentation and labeling; and variational methods.

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