A dynamic mode decomposition based reduced-order model for parameterized time-dependent partial differential equations (Q6101657)

scientific article; zbMATH DE number 7698930

Language	Label	Description	Also known as
English	A dynamic mode decomposition based reduced-order model for parameterized time-dependent partial differential equations	scientific article; zbMATH DE number 7698930

Statements

instance of

scholarly article

0 references

title

A dynamic mode decomposition based reduced-order model for parameterized time-dependent partial differential equations (English)

0 references

0 references

0 references

0 references

0 references

Journal of Scientific Computing

0 references

publication date

20 June 2023

0 references

zbMATH Keywords

parameterized time-dependent PDEs

0 references

dynamic mode decomposition

0 references

proper orthogonal decomposition

0 references

reduced-order model

0 references

Gaussian process regression

0 references

MaRDI profile type

MaRDI publication profile

0 references

full work available at URL

https://doi.org/10.1007/s10915-023-02200-x

0 references

cites work

Korali: efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization

0 references

Large-scale topology optimization using preconditioned Krylov subspace methods with recycling

0 references

A reduced basis method for radiative transfer equation

0 references

Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling

0 references

Reduced order models for Lagrangian hydrodynamics

0 references

POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition

0 references

Data-driven reduced order modeling for time-dependent problems

0 references

Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem

0 references

Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks

0 references

Balanced truncation model reduction with a priori error bounds for LTI systems with nonzero initial value

0 references

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

0 references

Bayesian operator inference for data-driven reduced-order modeling

0 references

A reduced basis method for a PDE-constrained optimization formulation in discrete fracture network flow simulations

0 references

An adaptive reduced basis ANOVA method for high-dimensional Bayesian inverse problems

0 references

Propagating uncertainties in large-scale hemodynamics models via network uncertainty quantification and reduced-order modeling

0 references

Strategies for Reduced-Order Models for Predicting the Statistical Responses and Uncertainty Quantification in Complex Turbulent Dynamical Systems

0 references

Component-wise reduced order model lattice-type structure design

0 references

Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models

0 references

A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems

0 references

Reduced Basis Methods for Partial Differential Equations

0 references

Certified Reduced Basis Methods for Parametrized Partial Differential Equations

0 references

A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs

0 references

Reduced order modeling for nonlinear structural analysis using Gaussian process regression

0 references

An adaptive data-driven reduced order model based on higher order dynamic mode decomposition

0 references

Data-driven acceleration of thermal radiation transfer calculations with the dynamic mode decomposition and a sequential singular value decomposition

0 references

Extended dynamic mode decomposition for inhomogeneous problems

0 references

Q2957673

0 references

A reduced order method for nonlinear parameterized partial differential equations using dynamic mode decomposition coupled with \(k\)-nearest-neighbors regression

0 references

Parametric dynamic mode decomposition for reduced order modeling

0 references

Dynamic mode decomposition of numerical and experimental data

0 references

On dynamic mode decomposition: theory and applications

0 references

Data-driven spectral analysis of the Koopman operator

0 references

Spectral properties of dynamical systems, model reduction and decompositions

0 references

Hamiltonian Systems and Transformation in Hilbert Space

0 references

Spectral analysis of nonlinear flows

0 references

Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator

0 references

Q4131338

0 references

Non-intrusive reduced-order modeling for uncertainty quantification of space-time-dependent parameterized problems

0 references

Identifiers

DOI

10.1007/s10915-023-02200-x

0 references

Mathematics Subject Classification ID

0 references

0 references

0 references

0 references

0 references

Sitelinks

Mathematics(1 entry)

mardi Publication:6101657