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New Trends in Parameter Identification for Mathematical Models, Bernd Hofmann; Antonio Leit?o; Jorge P. Zubelli


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Автор: Bernd Hofmann; Antonio Leit?o; Jorge P. Zubelli
Название:  New Trends in Parameter Identification for Mathematical Models
ISBN: 9783319889986
Издательство: Springer
Классификация:





ISBN-10: 3319889982
Обложка/Формат: Soft cover
Страницы: 338
Вес: 0.55 кг.
Дата издания: 2018
Серия: Trends in Mathematics
Язык: English
Издание: Softcover reprint of
Иллюстрации: 99 illustrations, color; 8 illustrations, black and white; viii, 338 p. 107 illus., 99 illus. in color.
Размер: 234 x 156 x 19
Читательская аудитория: Professional & vocational
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The Proceedings volume contains 16 contributions to the IMPA conference “New Trends in Parameter Identification for Mathematical Models”, Rio de Janeiro, Oct 30 – Nov 3, 2017, integrating the “Chemnitz Symposium on Inverse Problems on Tour”.  This conference is part of the “Thematic Program on Parameter Identification in Mathematical Models” organized  at IMPA in October and November 2017. One goal is to foster the scientific collaboration between mathematicians and engineers from the Brazialian, European and Asian communities. Main topics are iterative and variational regularization methods in Hilbert and Banach spaces for the stable approximate solution of ill-posed inverse problems, novel methods for parameter identification in partial differential equations, problems of tomography ,  solution of coupled conduction-radiation problems at high temperatures, and the statistical solution of inverse problems with applications in physics.
Дополнительное описание: Posterior contraction in Bayesian inverse problems under Gaussian priors.- Convex regularization of discrete-valued inverse problems.- Algebraic reconstruction of source and attenuation in SPECT using first scattering measurements.- On l1-regularization u



New Trends in Parameter Identification for Mathematical Models

Автор: Bernd Hofmann; Antonio Leitao; Jorge P Zubelli
Название: New Trends in Parameter Identification for Mathematical Models
ISBN: 3319708236 ISBN-13(EAN): 9783319708232
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The Proceedings volume contains 16 contributions to the IMPA conference "New Trends in Parameter Identification for Mathematical Models," Rio de Janeiro, Oct 30 - Nov 3, 2017, integrating the "Chemnitz Symposium on Inverse Problems on Tour." This conference is part of the "Thematic Program on Parameter Identification in Mathematical Models" organized at IMPA in October and November 2017. One goal is to foster the scientific collaboration between mathematicians and engineers from the Brazialian, European and Asian communities. Main topics are iterative and variational regularization methods in Hilbert and Banach spaces for the stable approximate solution of ill-posed inverse problems, novel methods for parameter identification in partial differential equations, problems of tomography, solution of coupled conduction-radiation problems at high temperatures, and the statistical solution of inverse problems with applications in physics.

Nonlinear Equations with Small Parameter: Volume I: Oscillations and resonances

Автор: Sergey G. Glebov, Oleg M. Kiselev, Nikolai N. Tark
Название: Nonlinear Equations with Small Parameter: Volume I: Oscillations and resonances
ISBN: 3110335549 ISBN-13(EAN): 9783110335545
Издательство: Walter de Gruyter
Цена: 22305.00 р.
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Описание: This two-volume monograph presents new methods of construction of global asymptotics of solutions to nonlinear equations with small parameter. These allow one to match the asymptotics of various properties with each other in transition regions and to get unified formulas for the connection of characteristic parameters of approximate solutions. This approach underlies modern asymptotic methods and gives a deep insight into crucial nonlinear phenomena in the natural sciences. These include the outset of chaos in dynamical systems, incipient solitary and shock waves, oscillatory processes in crystals, engineering applications, and quantum systems. Apart from being of independent interest, such approximate solutions serve as a foolproof basis for testing numerical algorithms. This first volume presents asymptotic methods in oscillation and resonance problems described by ordinary differential equations, whereby the second volume will be devoted to applications of asymptotic methods in waves and boundary value problems. Contents Asymptotic expansions and series Asymptotic methods for solving nonlinear equations Nonlinear oscillator in potential well Autoresonances in nonlinear systems Asymptotics for loss of stability Systems of coupled oscillators

Methods of Small Parameter in Mathematical Biology

Автор: Jacek Banasiak; Miros?aw Lachowicz
Название: Methods of Small Parameter in Mathematical Biology
ISBN: 3319381830 ISBN-13(EAN): 9783319381831
Издательство: Springer
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Цена: 11878.00 р.
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Описание: The chapters are arranged according to the mathematical complexity of the analysis, from systems of ordinary linear differential equations, through nonlinear ordinary differential equations, to linear and nonlinear partial differential equations.

Convergence of One-Parameter Operator Semigroups

Автор: Bobrowski
Название: Convergence of One-Parameter Operator Semigroups
ISBN: 1107137438 ISBN-13(EAN): 9781107137431
Издательство: Cambridge Academ
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Цена: 23285.00 р.
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Описание: Written by a leading expert in the field, this book presents the classical theory of convergence of semigroups and then uses real examples to show how it can be applied to models of mathematical biology as well as other branches of mathematics.

Parameter Estimation in Stochastic Differential Equations

Автор: Jaya P. N. Bishwal
Название: Parameter Estimation in Stochastic Differential Equations
ISBN: 3540744479 ISBN-13(EAN): 9783540744474
Издательство: Springer
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Цена: 6282.00 р.
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Описание: Presents the estimation of the unknown parameters in the corresponding continuous models based on continuous and discrete observations and examines extensively maximum likelihood, minimum contrast and Bayesian methods.

Derivative with a New Parameter

Автор: Abdon Atangana
Название: Derivative with a New Parameter
ISBN: 0081006446 ISBN-13(EAN): 9780081006443
Издательство: Elsevier Science
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Цена: 8757.00 р.
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Описание: Derivative with a New Parameter: Theory, Methods and Applications discusses the first application of the local derivative that was done by Newton for general physics, and later for other areas of the sciences. . The book starts off by giving a history of derivatives, from Newton to Caputo. It then goes on to introduce the new parameters for the local derivative, including its definition and properties. Additional topics define beta-Laplace transforms, beta-Sumudu transforms, and beta-Fourier transforms, including their properties, and then go on to describe the method for partial differential with the beta derivatives. . Subsequent sections give examples on how local derivatives with a new parameter can be used to model different applications, such as groundwater flow and different diseases. The book gives an introduction to the newly-established local derivative with new parameters, along with their integral transforms and applications, also including great examples on how it can be used in epidemiology and groundwater studies.

Parameter Identification and Inverse Problems in Hydrology, Geology and Ecology

Автор: Johannes Gottlieb; Paul DuChateau
Название: Parameter Identification and Inverse Problems in Hydrology, Geology and Ecology
ISBN: 9401072639 ISBN-13(EAN): 9789401072632
Издательство: Springer
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Цена: 26122.00 р.
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Control of Distributed Parameter and Stochastic Systems

Автор: Shuping Chen; Xunjing Li; Jiongming Yong; Xun Yu Z
Название: Control of Distributed Parameter and Stochastic Systems
ISBN: 147574868X ISBN-13(EAN): 9781475748680
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Proceedings of the IFIP WG 7.2 International Conference, June 19-22, 1998, Hangzhou, PR of China

Foundations of Non-stationary Dynamic Programming with Discrete Time Parameter

Автор: K. Hinderer
Название: Foundations of Non-stationary Dynamic Programming with Discrete Time Parameter
ISBN: 3540049568 ISBN-13(EAN): 9783540049562
Издательство: Springer
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Цена: 15372.00 р.
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Описание: dynamic programming under risk, dynamic programming under uncertainty, Markovian models, stationary models, and models with finite horizon from a unified point of view.

Control and Estimation of Distributed Parameter Systems

Автор: W. Desch; F. Kappel; K. Kunisch
Название: Control and Estimation of Distributed Parameter Systems
ISBN: 3034898002 ISBN-13(EAN): 9783034898003
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Consisting of 23 refereed contributions, this volume offers a broad and diverse view of current research in control and estimation of partial differential equations. Topics addressed include, but are not limited to - control and stability of hyperbolic systems related to elasticity, linear and nonlinear;

Optimization of Distributed Parameter Structures — Volume I

Автор: E.J. Haug; Jean Cea
Название: Optimization of Distributed Parameter Structures — Volume I
ISBN: 940098605X ISBN-13(EAN): 9789400986053
Издательство: Springer
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Цена: 12157.00 р.
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Описание: These proceedings contain lectures and contributed papers presented at the NATO-NSF Advanced Stucy Institute on Optimization of Distributed Parameter Structures (Iowa City, Iowa 21 May - 4 June, 1980).

Distributed Parameter Systems

Автор: Franz Kappel; Karl Kunisch; Wilhelm Schappacher
Название: Distributed Parameter Systems
ISBN: 3540158723 ISBN-13(EAN): 9783540158721
Издательство: Springer
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Цена: 12157.00 р.
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