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Partial Differential Equation Methods for Image Inpainting, Schоnlieb


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Цена: 12195.00р.
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Автор: Schоnlieb
Название:  Partial Differential Equation Methods for Image Inpainting
Перевод названия: Шюнлиб: Метод дифференциальных уравнений в частных производных для изобразительных техник на компьют
ISBN: 9781107001008
Издательство: Cambridge Academ
Классификация:






ISBN-10: 1107001005
Обложка/Формат: Hardback
Страницы: 250
Вес: 0.55 кг.
Дата издания: 26.10.2015
Серия: Cambridge monographs on applied and computational mathematics
Язык: English
Иллюстрации: Worked examples or exercises; 10 halftones, unspecified; 34 halftones, color; 59 line drawings, unspecified
Размер: 161 x 302 x 16
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Differential calculus & equations,Integral calculus & equations,Mathematical modelling,Computer science,Image processing, MATHEMATICS / General
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: This book is concerned with digital image processing techniques that use partial differential equations (PDEs) for the task of image inpainting, an artistic term for virtual image restoration or interpolation, whereby missing or occluded parts in images are completed based on information provided by intact parts. Computer graphic designers, artists and photographers have long used manual inpainting to restore damaged paintings or manipulate photographs. Today, mathematicians apply powerful methods based on PDEs to automate this task. This book introduces the mathematical concept of PDEs for virtual image restoration. It gives the full picture, from the first modelling steps originating in Gestalt theory and arts restoration to the analysis of resulting PDE models, numerical realisation and real-world application. This broad approach also gives insight into functional analysis, variational calculus, optimisation and numerical analysis and will appeal to researchers and graduate students in mathematics with an interest in image processing and mathematical analysis.


Geometric Partial Differential Equations and Image Analysis

Автор: Guillermo Sapiro
Название: Geometric Partial Differential Equations and Image Analysis
ISBN: 0521685079 ISBN-13(EAN): 9780521685078
Издательство: Cambridge Academ
Цена: 8078.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Researchers and practitioners will be able to achieve state-of-the-art practical results in a large number of real problems with the techniques described here. Applications covered include image segmentation, shape analysis, image enhancement, and tracking.

A compendium of partial differential equation models :

Автор: Schiesser, William E. Griffiths, Graham W.
Название: A compendium of partial differential equation models :
ISBN: 0521519861 ISBN-13(EAN): 9780521519861
Издательство: Cambridge Academ
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Цена: 19642.00 р.
Наличие на складе: Поставка под заказ.

Описание: Explains numerical methods, and associated computer codes in Matlab, for the solution of a spectrum of models expressed as ordinary and partial differential equations. The authors focus on the well-established method of lines, making the code easy to understand, implement, and modify.

Domain Decomposition Methods for the Numerical Solution of Partial Differential Equations

Автор: Tarek Mathew
Название: Domain Decomposition Methods for the Numerical Solution of Partial Differential Equations
ISBN: 3540772057 ISBN-13(EAN): 9783540772057
Издательство: Springer
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Цена: 18167.00 р.
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Описание: A matrix oriented introduction to domain decomposition methodology. It discusses topics including hybrid formulations, Schwarz, substructuring and Lagrange multiplier methods for elliptic equations, computational issues, least squares-control methods, multilevel methods, non-self adjoint problems, parabolic equations and saddle point applications.

Finite Difference Methods for Ordinary and Partial Differential Equations

Автор: Randall LeVeque
Название: Finite Difference Methods for Ordinary and Partial Differential Equations
ISBN: 0898716292 ISBN-13(EAN): 9780898716290
Издательство: Mare Nostrum (Eurospan)
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Цена: 10156.00 р.
Наличие на складе: Нет в наличии.

Описание: This book introduces finite difference methods for both ordinary differential equations (ODEs) and partial differential equations (PDEs) and discusses the similarities and differences between algorithm design and stability analysis for different types of equations. A unified view of stability theory for ODEs and PDEs is presented, and the interplay between ODE and PDE analysis is stressed. The text emphasizes standard classical methods, but several newer approaches also are introduced and are described in the context of simple motivating examples. Exercises and student projects are available on the book’s webpage, along with Matlab mfiles for implementing methods. Readers will gain an understanding of the essential ideas that underlie the development, analysis, and practical use of finite difference methods as well as the key concepts of stability theory, their relation to one another, and their practical implications. The author provides a foundation from which students can approach more advanced topics.

Advanced Topics in Computational Partial Differential Equations / Numerical Methods and Diffpack Programming

Автор: Langtangen Hans P., Tveito Aslak
Название: Advanced Topics in Computational Partial Differential Equations / Numerical Methods and Diffpack Programming
ISBN: 3540014381 ISBN-13(EAN): 9783540014386
Издательство: Springer
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Цена: 13969.00 р.
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Описание: The book is suitable for readers with a background in basic finite element and finite difference methods for partial differential equations who wants gentle introductions to advanced topics like parallel computing, multigrid methods, and special methods for systems of PDEs. The goal of all chapters is to *compute* solutions to problems, hence algorithmic and software issues play a central role. All software examples use the Diffpack programming environment, so to take advantage of these examples some experience with Diffpack is required. There are also some chapters covering complete applications, i.e., the way from a model, expressed as systems of PDEs, through discretization methods, algorithms, software design, verification, and computational examples.

Entropy Methods for Diffusive Partial Differential Equations

Автор: J?ngel
Название: Entropy Methods for Diffusive Partial Differential Equations
ISBN: 3319342185 ISBN-13(EAN): 9783319342184
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents a range of entropy methods for diffusive PDEs devised by many researchers in the course of the past few decades, which allow us to understand the qualitative behavior of solutions to diffusive equations (and Markov diffusion processes). Applications include the large-time asymptotics of solutions, the derivation of convex Sobolev inequalities, the existence and uniqueness of weak solutions, and the analysis of discrete and geometric structures of the PDEs. The purpose of the book is to provide readers an introduction to selected entropy methods that can be found in the research literature. In order to highlight the core concepts, the results are not stated in the widest generality and most of the arguments are only formal (in the sense that the functional setting is not specified or sufficient regularity is supposed). The text is also suitable for advanced master and PhD students and could serve as a textbook for special courses and seminars.

Applications of  Symmetry Methods to Partial Differential Equations

Автор: George W. Bluman; Alexei F. Cheviakov; Stephen Anc
Название: Applications of Symmetry Methods to Partial Differential Equations
ISBN: 1461424984 ISBN-13(EAN): 9781461424987
Издательство: Springer
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Цена: 23058.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is an accessible text on the advanced symmetry methods for differential equations. Topics covered include conservation laws, Lie-Backlund symmetries, contact transformations, nonlocal symmetries, nonlocal mappings and non-classical method.

Numerical Methods for Partial Differential Equations

Автор: Sandip Mazumder
Название: Numerical Methods for Partial Differential Equations
ISBN: 0128498943 ISBN-13(EAN): 9780128498941
Издательство: Elsevier Science
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Цена: 17180.00 р.
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Описание:

"Numerical Methods for Partial Differential Equations: Finite Difference and Finite Volume Methods" focuses on two popular deterministic methods for solving partial differential equations (PDEs), namely finite difference and finite volume methods. The solution of PDEs can be very challenging, depending on the type of equation, the number of independent variables, the boundary, and initial conditions, and other factors. These two methods have been traditionally used to solve problems involving fluid flow.

For practical reasons, the finite element method, used more often for solving problems in solid mechanics, and covered extensively in various other texts, has been excluded. The book is intended for beginning graduate students and early career professionals, although advanced undergraduate students may find it equally useful.

The material is meant to serve as a prerequisite for students who might go on to take additional courses in computational mechanics, computational fluid dynamics, or computational electromagnetics. The notations, language, and technical jargon used in the book can be easily understood by scientists and engineers who may not have had graduate-level applied mathematics or computer science courses.
Presents one of the few available resources that comprehensively describes and demonstrates the finite volume method for unstructured mesh used frequently by practicing code developers in industryIncludes step-by-step algorithms and code snippets in each chapter that enables the reader to make the transition from equations on the page to working codesIncludes 51 worked out examples that comprehensively demonstrate important mathematical steps, algorithms, and coding practices required to numerically solve PDEs, as well as how to interpret the results from both physical and mathematic perspectives


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