Pages that link to "Item:Q3553581"

The following pages link to Interpolation among reduced‐order matrices to obtain parameterized models for design, optimization and probabilistic analysis (Q3553581):

Displaying 46 items.

• A reduced-order matrices fitting scheme with log-Euclidean metrics for fast approximation of dynamic response of parametric structural systems (Q460983) (← links)
• Model order reduction of parameterized circuit equations based on interpolation (Q904254) (← links)
• An online coupled state/input/parameter estimation approach for structural dynamics (Q1667504) (← links)
• Real-time solution of linear computational problems using databases of parametric reduced-order models with arbitrary underlying meshes (Q1674673) (← links)
• Dynamic data-driven reduced-order models (Q1734486) (← links)
• Interpolatory model reduction of parameterized bilinear dynamical systems (Q1756926) (← links)
• Reduced order modelling for unsteady fluid flow using proper orthogonal decomposition and radial basis functions (Q1791460) (← links)
• Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories (Q2050562) (← links)
• Multi-frequency model reduction for uncertainty quantification in computational vibroacoutics (Q2115601) (← links)
• Interpolatory tensorial reduced order models for parametric dynamical systems (Q2145123) (← links)
• Data-driven operator inference for nonintrusive projection-based model reduction (Q2309194) (← links)
• An interpolation-based parametric reduced order model combined with component mode synthesis (Q2309817) (← links)
• Efficient model reduction of parametrized systems by matrix discrete empirical interpolation (Q2374878) (← links)
• Multilevel model reduction for uncertainty quantification in computational structural dynamics (Q2400060) (← links)
• Enhanced model-order reduction approach via online adaptation for parametrized nonlinear structural problems (Q2665037) (← links)
• An iterative algorithm for POD basis adaptation in solving parametric convection-diffusion equations (Q2670330) (← links)
• Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference (Q2678552) (← links)
• A survey of projection-based model reduction methods for parametric dynamical systems (Q2808259) (← links)
• Accelerating optimization of parametric linear systems by model order reduction (Q2848197) (← links)
• Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates (Q2947046) (← links)
• A real time procedure for affinely dependent parametric model order reduction using interpolation on Grassmann manifolds (Q2952190) (← links)
• Surrogate modeling of multiscale models using kernel methods (Q2952618) (← links)
• An Online Method for Interpolating Linear Parametric Reduced-Order Models (Q3116429) (← links)
• 7 Manifold interpolation (Q3384277) (← links)
• A method for interpolating on manifolds structural dynamics reduced-order models (Q3649928) (← links)
• Model Order Reduction for Differential-Algebraic Equations: A Survey (Q4556660) (← links)
• Geometric Subspace Updates with Applications to Online Adaptive Nonlinear Model Reduction (Q4604565) (← links)
• Interpolation Strategy for BT-Based Parametric MOR of Gas Pipeline-Networks (Q4637174) (← links)
• Reduced-order modelling of parameter-dependent, linear and nonlinear dynamic partial differential equation models (Q4647181) (← links)
• Stabilization of projection‐based reduced‐order models (Q4897991) (← links)
• Balanced Truncation for Parametric Linear Systems Using Interpolation of Gramians: A Comparison of Algebraic and Geometric Approaches (Q5014012) (← links)
• Optimization-Based Parametric Model Order Reduction for the Application to the Frequency-Domain Analysis of Complex Systems (Q5014019) (← links)
• Sampling Low-Dimensional Markovian Dynamics for Preasymptotically Recovering Reduced Models from Data with Operator Inference (Q5146677) (← links)
• Nonlinear Parametric Inversion Using Interpolatory Model Reduction (Q5264141) (← links)
• Learning physics-based models from data: perspectives from inverse problems and model reduction (Q5887831) (← links)
• A data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolation (Q6038828) (← links)
• A Unifying Framework for Interpolatory \({\boldsymbol{\mathcal{L}_2}}\)-Optimal Reduced-Order Modeling (Q6079499) (← links)
• Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling (Q6097872) (← links)
• Updating an uncertain and expensive computational model in structural dynamics based on one single target FRF using a probabilistic learning tool (Q6101638) (← links)
• Principled interpolation of Green's functions learned from data (Q6101898) (← links)
• Operator inference with roll outs for learning reduced models from scarce and low-quality data (Q6135185) (← links)
• MWCAWE: a multivariate WCAWE approach for parametric model order reduction, and a sampling strategy for the bivariate case (Q6173352) (← links)
• Parametrized reduced order modeling for cracked solids (Q6553425) (← links)
• Improved model reduction with basis enrichment for dynamic analysis of nearly periodic structures including substructures with geometric changes (Q6556769) (← links)
• A nonparametric probabilistic approach for quantifying uncertainties in low-dimensional and high-dimensional nonlinear models (Q6565216) (← links)
• Structured optimization-based model order reduction for parametric systems (Q6663230) (← links)