Výsledky vyhľadávania - numerical evolution to inverse problems in ((abstract OR abstracts) OR abstrakty) spaces

GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure: GrainGNN: a dynamic graph neural network for predicting 3D grain microstructure

Autori: Yigong Qin Stephen DeWitt Balasubramaniam Radhakrishnan a ďalší

Zdroj: Journal of Computational Physics. 510:113061

Predmety: FOS: Computer and information sciences, deep learning, graph neural network, Numerical solution to inverse problems in abstract spaces, 02 engineering and technology, grain microstructure evolution, phase field simulations, 01 natural sciences, Computational Engineering, Finance, and Science (cs.CE), Computer-aided design (modeling of curves and surfaces), 0103 physical sciences, Computer Science - Computational Engineering, Finance, and Science, 0210 nano-technology, additive manufacturing

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2401.03661

Solvability and numerical algorithms for a class of variational data assimilation problems: Solvability and numerical algorithms for a class of variational data assimilation problems.

Autori: Victor P. Shutyaev Guri I. Marchuk

Zdroj: ESAIM: Control, Optimisation and Calculus of Variations. 8:873-883

Predmety: Numerical optimization and variational techniques, Discrete approximations in optimal control, quasilinear evolution problem, iterative algorithms, variational data assimilation, Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs, method of successive approximation, 01 natural sciences, optimality system, Existence theories for problems in abstract spaces, 0101 mathematics, solvability, control equation, 0105 earth and related environmental sciences

Popis súboru: application/xml

Prístupová URL adresa: https://www.esaim-cocv.org/articles/cocv/pdf/2002/02/Marchuk.pdf
http://archive.numdam.org/article/COCV_2002__8__873_0.pdf
http://archive.numdam.org/ARCHIVE/COCV/COCV_2002__8_/COCV_2002__8__873_0/COCV_2002__8__873_0.pdf
https://www.esaim-cocv.org/articles/cocv/pdf/2002/02/Marchuk.pdf
http://www.esaim-cocv.org/articles/cocv/abs/2002/02/Marchuk/Marchuk.html
http://www.numdam.org/item/COCV_2002__8__873_0/
https://www.esaim-cocv.org/articles/cocv/abs/2002/02/Marchuk/Marchuk.html

Reconstructing the Magnetic Field in an Arbitrary Domain via Data-Driven Bayesian Methods and Numerical Simulations.

Autori: Pavlou, Georgios E. Pavlidou, Vasiliki Harmandaris, Vagelis

Zdroj: Computation; Feb2025, Vol. 13 Issue 2, p37, 32p

Predmety: INVERSE problems, FINITE element method, MATHEMATICAL optimization, BAYESIAN field theory, MAGNETIC fields

Runge–Kutta integrators yield optimal regularization schemes: Runge-Kutta integrators yield optimal regularization schemes

Autori: Rieder, A.

Zdroj: Inverse Problems, 21 (2), 453-471

Predmety: ddc:510, numerical examples, convergence, Numerical solutions of ill-posed problems in abstract spaces, regularization, Linear operators and ill-posed problems, regularization, Showalter's method, Tikhonov regularization, Hilbert space, asymptotic regularization, implicit Euler scheme, 01 natural sciences, Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations, Linear differential equations in abstract spaces, Numerical solutions to equations with linear operators, evolution equation, linear ill-posed problems, 0101 mathematics, Runge-Kutta integrators, order optimality, Mathematics

Popis súboru: application/xml; application/pdf

Prístupová URL adresa: https://publikationen.bibliothek.kit.edu/1000011042/762671
https://zbmath.org/2174678
https://doi.org/10.1088/0266-5611/21/2/003
http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/762671
http://ui.adsabs.harvard.edu/abs/2005InvPr..21..453R/abstract
https://iopscience.iop.org/article/10.1088/0266-5611/21/2/003
http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:swb:90-110850
https://publikationen.bibliothek.kit.edu/1000011085/772258
https://doi.org/10.5445/IR/1000011085
https://publikationen.bibliothek.kit.edu/1000011085
http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:swb:90-110428
https://doi.org/10.5445/IR/1000011042
https://publikationen.bibliothek.kit.edu/1000011042
https://publikationen.bibliothek.kit.edu/1000011042/762671

INVERSE PROBLEMS FOR ABSTRACT EVOLUTION EQUATIONS II: HIGHER ORDER DIFFERENTIABILITY FOR VISCOELASTICITY.

Autori: KIRSCH, ANDREAS RIEDER, ANDREAS

Zdroj: SIAM Journal on Applied Mathematics; 2019, Vol. 79 Issue 6, p2639-2662, 24p

Predmety: EVOLUTION equations, WAVE equation, VISCOELASTICITY, NONLINEAR equations, IMAGING systems in seismology, INVERSE problems, ADJOINT differential equations

2024 ACVIM Forum Research Abstract Program.

Zdroj: Journal of Veterinary Internal Medicine. Sep/Oct2024, Vol. 38 Issue 5, p2840-2970. 131p.

Browder–Tikhonov regularization of non-coercive evolution hemivariational inequalities: Browder-Tikhonov regularization of non-coercive evolution hemivariational inequalities

Autori: Zhenhai Liu

Zdroj: Inverse Problems. 21:13-20

Predmety: Clarke directional derivative, Numerical solutions of ill-posed problems in abstract spaces, regularization, Variational and other types of inequalities involving nonlinear operators (general), Other numerical methods in calculus of variations, Browder-Tikhonov regularization, Unilateral problems, variational inequalities (elliptic type), 0101 mathematics, Variational inequalities, evolution hemivariational inequality, 01 natural sciences

Popis súboru: application/xml

Prístupová URL adresa: https://iopscience.iop.org/article/10.1088/0266-5611/21/1/002/pdf
https://ui.adsabs.harvard.edu/abs/2005InvPr..21...13L/abstract
http://iopscience.iop.org/article/10.1088/0266-5611/21/1/002/pdf
https://iopscience.iop.org/article/10.1088/0266-5611/21/1/002/meta

Control operators and iterative algorithms in problems of reconstructing source functions and initial data

Autori: V. P. Shutyaev

Zdroj: Russian Journal of Numerical Analysis and Mathematical Modelling. 14

Predmety: Hilbert spaces, adjoint equations, Numerical optimization and variational techniques, convergence, inverse problems, iterative algorithms, eigenfunction expansion, linear data assimilation, Existence theories for optimal control problems involving partial differential equations, 01 natural sciences, Numerical methods involving duality, Inverse problems in optimal control, linear optimal control, quasilinear evolution problems, Existence theories for problems in abstract spaces, 0101 mathematics

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/1309439
https://doi.org/10.1515/rnam.1999.14.2.137
https://www.degruyter.com/view/j/rnam.1999.14.issue-2/rnam.1999.14.2.137/rnam.1999.14.2.137.xml

A framework for the construction of level set methods for shape optimization and reconstruction

Autori: Martin Burger

Zdroj: Interfaces and Free Boundaries, Mathematical Analysis, Computation and Applications. 5:301-329

Predmety: Inverse problems for PDEs, Optimization of shapes other than minimal surfaces, Numerical solutions of ill-posed problems in abstract spaces, regularization, materials science, gradient flows, crystal growth, shape reconstruction, 0101 mathematics, Hamilton-Jacobi equations, 01 natural sciences

Popis súboru: application/xml

Prístupová URL adresa: http://www.ems-ph.org/journals/show_pdf.php?issn=1463-9963&vol=5&iss=3&rank=3
https://www.ems-ph.org/journals/show_abstract.php?issn=1463-9963&vol=5&iss=3&rank=3
https://www.ems-ph.org/journals/show_pdf.php?issn=1463-9963&vol=5&iss=3&rank=3
https://www.giref.ulaval.ca/~deteix/bois/documents_references/invtut_mburger.pdf
http://www.giref.ulaval.ca/~deteix/bois/documents_references/invtut_mburger.pdf

Numerical methods for time-fractional evolution equations with nonsmooth data: A concise overview.

Autori: Jin, Bangti Lazarov, Raytcho Zhou, Zhi

Zdroj: Computer Methods in Applied Mechanics & Engineering. Apr2019, Vol. 346, p332-358. 27p.

Predmety: *FRACTIONAL calculus, *EVOLUTION equations, *NONSMOOTH optimization, *NUMERICAL analysis, *GALERKIN methods

On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces.

Autori: Jin, Bangti Kereta, Željko

Zdroj: SIAM Journal on Imaging Sciences; 2023, Vol. 16 Issue 2, p671-705, 35p

Buffalo welfare: a literature review from 1992 to 2023 with a text mining and topic analysis approach.

Autori: Trapanese, Lucia Petrocchi Jasinski, Francesca Bifulco, Giovanna a ďalší

Zdroj: Italian Journal of Animal Science. Dec2024, Vol. 23 Issue 1, p570-584. 15p.

Predmet: Scientific literature, Text mining, Agriculture, Databases, Machine learning, Water buffalo

2022 ASAS Midwest Section Meeting Abstracts.

Zdroj: Journal of Animal Science. 2022 Supplement, Vol. 100, p1-201. 201p.

Geografický termín: Midwest (U.S.)

A Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces.

Autori: Yuxin Xia Wei Wang Bo Han

Zdroj: SIAM Journal on Imaging Sciences; 2022, Vol. 15 Issue 3, p1079-1103, 25p

Differentiable visual computing for inverse problems and machine learning.

Autori: Spielberg, Andrew Zhong, Fangcheng Rematas, Konstantinos a ďalší

Zdroj: Nature Machine Intelligence; Nov2023, Vol. 5 Issue 11, p1189-1199, 11p

Numerical techniques for solving the inverse retrospective problem of thermal evolution of the Earth interior

Autori: Ismail-Zadeh, A. Korotkii, A. Schubert, G. a ďalší

Zdroj: Computers & Structures. Jun2009, Vol. 87 Issue 11/12, p802-811. 10p.

Predmety: *INVERSE problems, *NUMERICAL analysis, *HEAT conduction, *ADJOINT differential equations, *EARTH'S mantle, *EARTH (Planet)

RESEARCH COMMUNICATIONS OF THE 34th ECVIM‐CA CONGRESS.

Zdroj: Journal of Veterinary Internal Medicine. Nov2024, Vol. 38 Issue 6, p3537-3694. 158p.

NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems.

Autori: Ziruo Cai Junqi Tang Mukherjee, Subhadip a ďalší

Zdroj: SIAM Journal on Imaging Sciences; 2024, Vol. 17 Issue 2, p820-860, 41p

2020 ACVIM Forum On Demand Research Abstract Program.

Zdroj: Journal of Veterinary Internal Medicine. Nov2020, Vol. 34 Issue 6, p2830-2989. 160p.

Deepfake Detection and Reconstruction of the Original Image.

Autori: Kumar, B. Srinuvasu Dharshitha, A. Sai, G. Charan a ďalší

Zdroj: Journal of Advanced Zoology. 2024 Supplement, Vol. 45, p01-08. 8p.