Pages that link to "Item:Q5315504"
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The following pages link to <i>A posteriori</i>error bounds for reduced-basis approximations of parametrized parabolic partial differential equations (Q5315504):
Displaying 50 items.
- Adaptive non-intrusive reduced order modeling for compressible flows (Q2222527) (← links)
- A nonintrusive reduced order modelling approach using proper orthogonal decomposition and locally adaptive sparse grids (Q2222606) (← links)
- A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems (Q2237473) (← links)
- A two-level parameterized model-order reduction approach for time-domain elastodynamics (Q2237718) (← links)
- Reduced order modelling for a rotor-stator cavity using proper orthogonal decomposition (Q2245198) (← links)
- A posteriori global error estimator based on the error in the constitutive relation for reduced basis approximation of parametrized linear elastic problems (Q2290718) (← links)
- Certified offline-free reduced basis (COFRB) methods for stochastic differential equations driven by arbitrary types of noise (Q2291860) (← links)
- A homotopy method with adaptive basis selection for computing multiple solutions of differential equations (Q2291939) (← links)
- Kolmogorov \(n\)-widths for linear dynamical systems (Q2305530) (← links)
- \textit{A posteriori} error estimation and adaptive strategy for PGD model reduction applied to parametrized linear parabolic problems (Q2310096) (← links)
- Reduced collocation method for time-dependent parametrized partial differential equations (Q2330394) (← links)
- Certified PDE-constrained parameter optimization using reduced basis surrogate models for evolution problems (Q2352426) (← links)
- A model and variance reduction method for computing statistical outputs of stochastic elliptic partial differential equations (Q2374614) (← links)
- Efficient model reduction of parametrized systems by matrix discrete empirical interpolation (Q2374878) (← links)
- Reduced basis approximation and a posteriori error estimation for a Boltzmann model (Q2384375) (← links)
- Certified reduced basis approximation for parametrized partial differential equations and applications (Q2391699) (← links)
- Reduced basis methods with adaptive snapshot computations (Q2400481) (← links)
- A Dirichlet-Neumann reduced basis method for homogeneous domain decomposition problems (Q2437363) (← links)
- Accurate and efficient evaluation of failure probability for partial different equations with random input data (Q2450561) (← links)
- Reduced-order modeling of time-dependent PDEs with multiple parameters in the boundary data (Q2459294) (← links)
- A posteriori error estimation and basis adaptivity for reduced-basis approximation of nonaffine-parametrized linear elliptic partial differential equations (Q2464971) (← links)
- ``Natural norm'' a posteriori error estimators for reduced basis approximations (Q2506717) (← links)
- A mathematical and numerical study of the sensitivity of a reduced order model by POD (ROM-POD), for a 2D incompressible fluid flow (Q2517474) (← links)
- Goal-oriented error estimation for the reduced basis method, with application to sensitivity analysis (Q2631042) (← links)
- Rapid inverse parameter estimation using reduced-basis approximation with asymptotic error estimation (Q2637888) (← links)
- A training set subsampling strategy for the reduced basis method (Q2666028) (← links)
- Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM (Q2698844) (← links)
- How To Best Sample a Solution Manifold? (Q2799929) (← links)
- A survey of projection-based model reduction methods for parametric dynamical systems (Q2808259) (← links)
- An empirical interpolation approach to reduced basis approximations for variational inequalities (Q2831101) (← links)
- Model reduction techniques for the simulation of particle populations in fluid flow (Q2855716) (← links)
- Certified reduced basis methods for nonaffine linear time-varying and nonlinear parabolic partial differential equations (Q2893178) (← links)
- H<sub>2,α</sub> -norm optimal model reduction for optimal control problems subject to parabolic and hyperbolic evolution equations (Q2931067) (← links)
- Reduced Basis Methods for Pricing Options with the Black--Scholes and Heston Models (Q2941477) (← links)
- The ROMES Method for Statistical Modeling of Reduced-Order-Model Error (Q2945141) (← links)
- The localized reduced basis multiscale method for two-phase flows in porous media (Q2952710) (← links)
- <i>A posteriori</i>error estimators for linear reduced-order models using Krylov-based integrators (Q2952720) (← links)
- An adaptive and efficient greedy procedure for the optimal training of parametric reduced-order models (Q2952722) (← links)
- Adaptive training of local reduced bases for unsteady incompressible Navier-Stokes flows (Q2952765) (← links)
- Adaptive POD-based low-dimensional modeling supported by residual estimates (Q2952853) (← links)
- Projection Based Model Reduction for Optimal Design of the Time-dependent Stokes System (Q2961054) (← links)
- Approximate optimal projection for reduced-order models (Q2968723) (← links)
- The reduced basis method applied to transport equations of a lithium-ion battery (Q2970643) (← links)
- A reduced basis Kalman filter for parametrized partial differential equations (Q2994666) (← links)
- An hp Certified Reduced Basis Method for Parametrized Parabolic Partial Differential Equations (Q2998523) (← links)
- Efficient reduced models and<i>a posteriori</i>error estimation for parametrized dynamical systems by offline/online decomposition (Q3015941) (← links)
- POD-Galerkin approximations in PDE-constrained optimization (Q3058179) (← links)
- REDUCED BASIS APPROXIMATION AND<i>A POSTERIORI</i>ERROR ESTIMATION FOR THE PARAMETRIZED UNSTEADY BOUSSINESQ EQUATIONS (Q3087878) (← links)
- Reduced basis approximation of large scale parametric algebraic Riccati equations (Q3177912) (← links)
- A Goal-Oriented Reduced Basis Methods-Accelerated Generalized Polynomial Chaos Algorithm (Q3179335) (← links)