Variational Methods In Mathematics Science And Engineering
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Author |
: Karel Rektorys |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 566 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9789401164504 |
ISBN-13 |
: 9401164509 |
Rating |
: 4/5 (04 Downloads) |
Synopsis Variational Methods in Mathematics, Science and Engineering by : Karel Rektorys
The impulse which led to the writing of the present book has emerged from my many years of lecturing in special courses for selected students at the College of Civil Engineering of the Tech nical University in Prague, from experience gained as supervisor and consultant to graduate students-engineers in the field of applied mathematics, and - last but not least - from frequent consultations with technicians as well as with physicists who have asked for advice in overcoming difficulties encountered in solving theoretical problems. Even though a varied combination of problems of the most diverse nature was often in question, the problems discussed in this book stood forth as the most essential to this category of specialists. The many discussions I have had gave rise to considerations on writing a book which should fill the rather unfortunate gap in our literature. The book is designed, in the first place, for specialists in the fields of theoretical engineering and science. However, it was my aim that the book should be of interest to mathematicians as well. I have been well aware what an ungrateful task it may be to write a book of the present type, and what problems such an effort can bring: Technicians and physicists on the one side, and mathematicians on the other, are often of diametrically opposing opinions as far as books con ceived for both these categories are concerned.
Author |
: Karel Rektorys |
Publisher |
: |
Total Pages |
: 287 |
Release |
: 1980 |
ISBN-10 |
: OCLC:834118163 |
ISBN-13 |
: |
Rating |
: 4/5 (63 Downloads) |
Synopsis Variational Methods in Mathematics, Science and Engineering by : Karel Rektorys
Author |
: |
Publisher |
: |
Total Pages |
: 0 |
Release |
: 1977 |
ISBN-10 |
: OCLC:1414849021 |
ISBN-13 |
: |
Rating |
: 4/5 (21 Downloads) |
Synopsis Variational Methods in Mathematics, Science and Engineering. (Translated from the Czech) by :
Author |
: Kevin W. Cassel |
Publisher |
: Cambridge University Press |
Total Pages |
: 433 |
Release |
: 2013-07-22 |
ISBN-10 |
: 9781107022584 |
ISBN-13 |
: 1107022584 |
Rating |
: 4/5 (84 Downloads) |
Synopsis Variational Methods with Applications in Science and Engineering by : Kevin W. Cassel
This book reflects the strong connection between calculus of variations and the applications for which variational methods form the foundation.
Author |
: Jagdish S. Rustagi |
Publisher |
: |
Total Pages |
: 236 |
Release |
: 1976-01-01 |
ISBN-10 |
: 0126045607 |
ISBN-13 |
: 9780126045604 |
Rating |
: 4/5 (07 Downloads) |
Synopsis Variational Methods in Statistics by : Jagdish S. Rustagi
Variational methods in statistics.
Author |
: Otmar Scherzer |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 323 |
Release |
: 2008-09-26 |
ISBN-10 |
: 9780387692777 |
ISBN-13 |
: 0387692770 |
Rating |
: 4/5 (77 Downloads) |
Synopsis Variational Methods in Imaging by : Otmar Scherzer
This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Many numerical examples accompany the theory throughout the text. It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It can serve as a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level.
Author |
: Yanheng Ding |
Publisher |
: World Scientific |
Total Pages |
: 177 |
Release |
: 2007-07-30 |
ISBN-10 |
: 9789814474504 |
ISBN-13 |
: 9814474509 |
Rating |
: 4/5 (04 Downloads) |
Synopsis Variational Methods For Strongly Indefinite Problems by : Yanheng Ding
This unique book focuses on critical point theory for strongly indefinite functionals in order to deal with nonlinear variational problems in areas such as physics, mechanics and economics. With the original ingredients of Lipschitz partitions of unity of gage spaces (nonmetrizable spaces), Lipschitz normality, and sufficient conditions for the normality, as well as existence-uniqueness of flow of ODE on gage spaces, the book presents for the first time a deformation theory in locally convex topological vector spaces. It also offers satisfying variational settings for homoclinic-type solutions to Hamiltonian systems, Schrödinger equations, Dirac equations and diffusion systems, and describes recent developments in studying these problems. The concepts and methods used open up new topics worthy of in-depth exploration, and link the subject with other branches of mathematics, such as topology and geometry, providing a perspective for further studies in these areas. The analytical framework can be used to handle more infinite-dimensional Hamiltonian systems.
Author |
: Luminita A. Vese |
Publisher |
: CRC Press |
Total Pages |
: 416 |
Release |
: 2015-11-18 |
ISBN-10 |
: 9781439849743 |
ISBN-13 |
: 1439849749 |
Rating |
: 4/5 (43 Downloads) |
Synopsis Variational Methods in Image Processing by : Luminita A. Vese
Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve t
Author |
: Philipp Grohs |
Publisher |
: Springer Nature |
Total Pages |
: 701 |
Release |
: 2020-04-03 |
ISBN-10 |
: 9783030313517 |
ISBN-13 |
: 3030313514 |
Rating |
: 4/5 (17 Downloads) |
Synopsis Handbook of Variational Methods for Nonlinear Geometric Data by : Philipp Grohs
This book covers different, current research directions in the context of variational methods for non-linear geometric data. Each chapter is authored by leading experts in the respective discipline and provides an introduction, an overview and a description of the current state of the art. Non-linear geometric data arises in various applications in science and engineering. Examples of nonlinear data spaces are diverse and include, for instance, nonlinear spaces of matrices, spaces of curves, shapes as well as manifolds of probability measures. Applications can be found in biology, medicine, product engineering, geography and computer vision for instance. Variational methods on the other hand have evolved to being amongst the most powerful tools for applied mathematics. They involve techniques from various branches of mathematics such as statistics, modeling, optimization, numerical mathematics and analysis. The vast majority of research on variational methods, however, is focused on data in linear spaces. Variational methods for non-linear data is currently an emerging research topic. As a result, and since such methods involve various branches of mathematics, there is a plethora of different, recent approaches dealing with different aspects of variational methods for nonlinear geometric data. Research results are rather scattered and appear in journals of different mathematical communities. The main purpose of the book is to account for that by providing, for the first time, a comprehensive collection of different research directions and existing approaches in this context. It is organized in a way that leading researchers from the different fields provide an introductory overview of recent research directions in their respective discipline. As such, the book is a unique reference work for both newcomers in the field of variational methods for non-linear geometric data, as well as for established experts that aim at to exploit new research directions or collaborations. Chapter 9 of this book is available open access under a CC BY 4.0 license at link.springer.com.
Author |
: Selcuk S. Bayin |
Publisher |
: John Wiley & Sons |
Total Pages |
: 742 |
Release |
: 2018-03-27 |
ISBN-10 |
: 9781119425397 |
ISBN-13 |
: 1119425395 |
Rating |
: 4/5 (97 Downloads) |
Synopsis Mathematical Methods in Science and Engineering by : Selcuk S. Bayin
A Practical, Interdisciplinary Guide to Advanced Mathematical Methods for Scientists and Engineers Mathematical Methods in Science and Engineering, Second Edition, provides students and scientists with a detailed mathematical reference for advanced analysis and computational methodologies. Making complex tools accessible, this invaluable resource is designed for both the classroom and the practitioners; the modular format allows flexibility of coverage, while the text itself is formatted to provide essential information without detailed study. Highly practical discussion focuses on the “how-to” aspect of each topic presented, yet provides enough theory to reinforce central processes and mechanisms. Recent growing interest in interdisciplinary studies has brought scientists together from physics, chemistry, biology, economy, and finance to expand advanced mathematical methods beyond theoretical physics. This book is written with this multi-disciplinary group in mind, emphasizing practical solutions for diverse applications and the development of a new interdisciplinary science. Revised and expanded for increased utility, this new Second Edition: Includes over 60 new sections and subsections more useful to a multidisciplinary audience Contains new examples, new figures, new problems, and more fluid arguments Presents a detailed discussion on the most frequently encountered special functions in science and engineering Provides a systematic treatment of special functions in terms of the Sturm-Liouville theory Approaches second-order differential equations of physics and engineering from the factorization perspective Includes extensive discussion of coordinate transformations and tensors, complex analysis, fractional calculus, integral transforms, Green's functions, path integrals, and more Extensively reworked to provide increased utility to a broader audience, this book provides a self-contained three-semester course for curriculum, self-study, or reference. As more scientific disciplines begin to lean more heavily on advanced mathematical analysis, this resource will prove to be an invaluable addition to any bookshelf.