Time-dependent Problems in Imaging and Parameter Identification, Kaltenbacher Barbara, Schuster Thomas, Wald Anne
Автор: Niedermeier, Rolf Название: Invitation to fixed-parameter algorithms ISBN: 0198566077 ISBN-13(EAN): 9780198566076 Издательство: Oxford Academ Рейтинг: Цена: 21780.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An application-oriented introduction to the highly topical area of the development and analysis of efficient fixed-parameter algorithms for hard problems. Aimed at graduate and research mathematicians, algorithm designers, and computer scientists, it provides a fresh view on this highly innovative field of algorithmic research.
Автор: Kaltenbacher Barbara, Schuster Thomas, Wald Anne Название: Time-Dependent Problems in Imaging and Parameter Identification ISBN: 303057783X ISBN-13(EAN): 9783030577834 Издательство: Springer Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1 Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data 2 Dynamic Inverse Problems for the Acoustic Wave Equation 3 Motion compensation strategies in tomography 4 Microlocal properties of dynamic Fourier integral operators 5 The tangential cone condition for some coefficient identification model problems in parabolic PDEs 6 Sequential subspace optimization for recovering stored energy functions in hyperelastic materials from time-dependent data 7 Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations 8 Quantitative OCT reconstructions for dispersive media 9 Review of Image Similarity Measures for Joint Image Reconstruction from Multiple Measurements 10 Holmgren-John Unique Continuation Theorem for Viscoelastic Systems 11 Tomographic Reconstruction for Single Conjugate Adaptive Optics 12 Inverse Problems of Single Molecule Localization Microscopy 13 Parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging 14 An inverse source problem related to acoustic nonlinearity parameter imaging
Автор: Bernd Hofmann; Antonio Leit?o; Jorge P. Zubelli Название: New Trends in Parameter Identification for Mathematical Models ISBN: 3319889982 ISBN-13(EAN): 9783319889986 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: W. Desch; F. Kappel; K. Kunisch Название: Control and Estimation of Distributed Parameter Systems ISBN: 3034898002 ISBN-13(EAN): 9783034898003 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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;
Описание: 22 papers on control of nonlinear partial differential equations highlight the area from a broad variety of viewpoints. A significant part of the volume is devoted to applications in engineering, continuum mechanics and population biology.
Автор: Luc Jaulin; Michel Kieffer; Olivier Didrit; Eric W Название: Applied Interval Analysis ISBN: 1447110676 ISBN-13(EAN): 9781447110675 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: At the core of many engineering problems is the solution of sets of equa- tions and inequalities, and the optimization of cost functions. This means, for example, that the actual global minimum of a cost function may not be reached, or that some global minimizers of this cost function may escape detection.
Автор: Hanns L. Harney Название: Bayesian Inference ISBN: 364205577X ISBN-13(EAN): 9783642055775 Издательство: Springer Рейтинг: Цена: 13270.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Solving a longstanding problem in the physical sciences, this text and reference generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. The text is written at introductory level, with many examples and exercises.
Автор: Tiberiu Colosi; Mihail-Ioan Abrudean; Mihaela-Ligi Название: Numerical Simulation of Distributed Parameter Processes ISBN: 3319033263 ISBN-13(EAN): 9783319033266 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering processes formed by systems of partial derivative equations (PDEs), including systems of ordinary differential equations (ODEs), this book interprets and uses the matrix of partial derivatives of the state vector with applications to engineering.
Автор: Hans Georg Bock; Thomas Carraro; Willi J?ger; Stef Название: Model Based Parameter Estimation ISBN: 3642440762 ISBN-13(EAN): 9783642440762 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book features papers from a workshop on parameter estimation held in 2009 in Heidelberg. It combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts.
Автор: Dan DeBlasio; John Kececioglu Название: Parameter Advising for Multiple Sequence Alignment ISBN: 3319649175 ISBN-13(EAN): 9783319649177 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book develops a new approach called parameter advising for finding a parameter setting for a sequence aligner that yields a quality alignment of a given set of input sequences. In this framework, a parameter advisor is a procedure that automatically chooses a parameter setting for the input, and has two main ingredients:
(a) the set of parameter choices considered by the advisor, and
(b) an estimator of alignment accuracy used to rank alignments produced by the aligner.
On coupling a parameter advisor with an aligner, once the advisor is trained in a learning phase, the user simply inputs sequences to align, and receives an output alignment from the aligner, where the advisor has automatically selected the parameter setting.
The chapters first lay out the foundations of parameter advising, and then cover applications and extensions of advising. The content
- examines formulations of parameter advising and their computational complexity,
- develops methods for learning good accuracy estimators,
- presents approximation algorithms for finding good sets of parameter choices, and
- assesses software implementations of advising that perform well on real biological data.
Also explored are applications of parameter advising to
- adaptive local realignment, where advising is performed on local regions of the sequences to automatically adapt to varying mutation rates, and
- ensemble alignment, where advising is applied to an ensemble of aligners to effectively yield a new aligner of higher quality than the individual aligners in the ensemble.
The book concludes by offering future directions in advising research.
Автор: Tiberiu Colosi; Mihail-Ioan Abrudean; Mihaela-Ligi Название: Numerical Simulation of Distributed Parameter Processes ISBN: 3319000136 ISBN-13(EAN): 9783319000138 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering processes formed by systems of partial derivative equations (PDEs), including systems of ordinary differential equations (ODEs), this book interprets and uses the matrix of partial derivatives of the state vector with applications to engineering.
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