Time-dependent Problems in Imaging and Parameter Identification, Kaltenbacher Barbara, Schuster Thomas, Wald Anne
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.
Автор: Deblasio Dan, Kececioglu John Название: Parameter Advising for Multiple Sequence Alignment ISBN: 3319879022 ISBN-13(EAN): 9783319879024 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1 Introduction and Background.- 2 Alignment Accuracy Estimation.- 3 The Facet Estimator.- 4 Computational Complexity of Advising.- 5 Constructing Advisors.- 6 Parameter Advising for the Opal Aligner.- 7 Ensemble Mind Alignment.- 8 Adaptive Local Realignment.- 9 Core Column Prediction for Alignments.- 10 Future Directions.
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.
Описание: Many of the most challenging problems in the applied sciences involve non-differentiable structures as well as partial differential operators, thus leading to non-smooth distributed parameter systems. This edited volume aims to establish a theoretical and numerical foundation and develop new algorithmic paradigms for the treatment of non-smooth phenomena and associated parameter influences. Other goals include the realization and further advancement of these concepts in the context of robust and hierarchical optimization, partial differential games, and nonlinear partial differential complementarity problems, as well as their validation in the context of complex applications. Areas for which applications are considered include optimal control of multiphase fluids and of superconductors, image processing, thermoforming, and the formation of rivers and networks. Chapters are written by leading researchers and present results obtained in the first funding phase of the DFG Special Priority Program on Nonsmooth and Complementarity Based Distributed Parameter Systems: Simulation and Hierarchical Optimization that ran from 2016 to 2019.
Автор: Bhattacharya, Rabi Waymire, Edward C. Название: Stationary processes and discrete parameter markov processes ISBN: 303100941X ISBN-13(EAN): 9783031009419 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Поставка под заказ.
Описание: This textbook explores two distinct stochastic processes that evolve at random: weakly stationary processes and discrete parameter Markov processes.
Описание: Many of the most challenging problems in the applied sciences involve non-differentiable structures as well as partial differential operators, thus leading to non-smooth distributed parameter systems.
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.
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