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Mathematical Methods for Curves and Surfaces, Michael Floater; Tom Lyche; Marie-Laurence Mazure;


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Автор: Michael Floater; Tom Lyche; Marie-Laurence Mazure;
Название:  Mathematical Methods for Curves and Surfaces
ISBN: 9783642543814
Издательство: Springer
Классификация:






ISBN-10: 3642543812
Обложка/Формат: Paperback
Страницы: 511
Вес: 0.73 кг.
Дата издания: 21.02.2014
Серия: Theoretical Computer Science and General Issues
Язык: English
Размер: 234 x 156 x 27
Основная тема: Computer Science
Подзаголовок: 8th International Conference, MMCS 2012, Oslo, Norway, June 28 - July 3, 2012, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Mathematical Methods for Curves and Surfaces, MMCS 2012, held in Oslo, Norway, in June/July 2012. The topics range from mathematical analysis of various methods to practical implementation on modern graphics processing units.


Mathematical methods in time series analysis and digital image processing

Автор: Dahlhaus
Название: Mathematical methods in time series analysis and digital image processing
ISBN: 3540756310 ISBN-13(EAN): 9783540756316
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Intends to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences. This book summarizes work carried out in the field of theoretical signal and image processing.

Advanced mathematical methods for scientists and engineers

Автор: Bender, Carl M. (washington University, Usa) Orsza
Название: Advanced mathematical methods for scientists and engineers
ISBN: 1441931872 ISBN-13(EAN): 9781441931870
Издательство: Springer
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Цена: 10335.00 р.
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Описание: This book gives a clear, practical and self-contained presentation of the methods of asymptotics and perturbation theory and explains how to use these methods to obtain approximate analytical solutions to differential and difference equations. These methods allow one to analyze physics and engineering problems that may not be solvable in closed form and for which brute-force numerical methods may not converge to useful solutions. The objective of this book is to teaching the insights and problem-solving skills that are most useful in solving mathematical problems arising in the course of modern research. Intended for graduate students and advanced undergraduates, the book assumes only a limited familiarity with differential equations and complex variables. The presentation begins with a review of differential and difference equations; develops local asymptotic methods for differential and difference equations; explains perturbation and summation theory; and concludes with a an exposition of global asymptotic methods, including boundary-layer theory, WKB theory, and multiple-scale analysis. Emphasizing applications, the discussion stresses care rather than rigor and relies on many well-chosen examples to teach the reader how an applied mathematician tackles problems. There are 190 computer-generated plots and tables comparing approximate and exact solutions; over 600 problems, of varying levels of difficulty; and an appendix summarizing the properties of special functions.

Handbook of Mathematical Models in Computer Vision

Автор: Paragios Nikos, Chen Yunmei, Faugeras Olivier
Название: Handbook of Mathematical Models in Computer Vision
ISBN: 0387263713 ISBN-13(EAN): 9780387263717
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This comprehensive volume is an essential reference tool for professional and academic researchers in the filed of computer vision, image processing, and applied mathematics.  Continuing rapid advances in image processing have been enhanced by the theoretical efforts of mathematicians and engineers. This marriage of mathematics and computer vision - computational vision - has resulted in a discrete approach to image processing that is more reliable when leveraging in practical tasks. This comprehensive volume provides a detailed discourse on the mathematical models used in computational vision from leading educators and active research experts in this field. Topical areas include: image reconstruction, segmentation and object extraction, shape modeling and registration, motion analysis and tracking, and 3D from images, geometry and reconstruction. The book also includes a study of applications in medical image analysis.Handbook of Mathematical Models in Computer Vision provides a graduate-level treatment of this subject as well as serving as a complete reference work for professionals.

Mathematical Methods for Curves and Surfaces

Автор: Michael Floater; Tom Lyche; Marie-Laurence Mazure;
Название: Mathematical Methods for Curves and Surfaces
ISBN: 3319678841 ISBN-13(EAN): 9783319678849
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This volume constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Mathematical Methods for Curves and Surfaces, MMCS 2016, held in Tonsberg, Norway, in June 2016. The topics range from mathematical theory to industrial applications.

Mathematical Methods for Engineers and Scientists 3

Автор: Kwong-Tin Tang
Название: Mathematical Methods for Engineers and Scientists 3
ISBN: 3642079474 ISBN-13(EAN): 9783642079474
Издательство: Springer
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Цена: 9794.00 р.
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Описание:

Pedagogical insights gained through 30 years of teaching applied mathematics led the author to write this set of student oriented books. Topics such as complex analysis, matrix theory, vector and tensor analysis, Fourier analysis, integral transforms, ordinary and partial differential equations are presented in a discursive style that is readable and easy to follow. Numerous examples, completely worked out, together with carefully selected problem sets with answers are used to enhance students' understanding and manipulative skill. The goal is to make students comfortable in using advanced mathematical tools in junior, senior, and beginning graduate courses.

Mathematical Methods for Engineers and Geoscientists

Автор: Olga Waelder
Название: Mathematical Methods for Engineers and Geoscientists
ISBN: 3642094562 ISBN-13(EAN): 9783642094569
Издательство: Springer
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Цена: 10447.00 р.
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Описание: This fascinating work makes the link between the rarified world of maths and the down-to-earth one inhabited by engineers. It introduces and explains classical and modern mathematical procedures as applied to the real problems confronting engineers and geoscientists.

Mathematical Methods and Modelling in Hydrocarbon Exploration and Production

Автор: Armin Iske; Trygve Randen
Название: Mathematical Methods and Modelling in Hydrocarbon Exploration and Production
ISBN: 3642061397 ISBN-13(EAN): 9783642061394
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Various challenges concerning the production workflow are discussed in detail.The thirteen chapters of this joint work, authored by international experts from academic and industrial institutions, include survey papers of expository character as well as original research articles.

Mathematical Methods for Signal and Image Analysis and Representation

Автор: Luc Florack; Remco Duits; Geurt Jongbloed; Marie-C
Название: Mathematical Methods for Signal and Image Analysis and Representation
ISBN: 1447158903 ISBN-13(EAN): 9781447158905
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book presents a mathematical methodology for image analysis tasks at the edge of current research, including anisotropic diffusion filtering of tensor fields. Instead of specific applications, it explores methodological structures on which they are built.

Advances in Mathematical Modeling and  Experimental Methods for Materials and Structures

Автор: Rivka Gilat; Leslie Banks-Sills
Название: Advances in Mathematical Modeling and Experimental Methods for Materials and Structures
ISBN: 9048134668 ISBN-13(EAN): 9789048134663
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This collection of cutting-edge papers, written by leading authors in honor of Professor Jacob Aboudi, covers a wide spectrum of topics in the field, presents both theoretical and experimental approaches, and suggests directions for possible future research.


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