Pages that link to "Item:Q2848197"
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The following pages link to Accelerating optimization of parametric linear systems by model order reduction (Q2848197):
Displaying 34 items.
- POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation (Q350095) (← links)
- Damping optimization of parameter dependent mechanical systems by rational interpolation (Q1756921) (← links)
- Reduced order solution of structured linear systems arising in certain PDE-constrained optimization problems (Q1928744) (← links)
- A globally convergent method to accelerate topology optimization using on-the-fly model reduction (Q2022073) (← links)
- Sampling-free model reduction of systems with low-rank parameterization (Q2026127) (← links)
- Efficient acoustic topology optimization with the multifrequency quasi-static Ritz vector (MQSRV) method (Q2086057) (← links)
- Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery (Q2095535) (← links)
- Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking (Q2106952) (← links)
- Gradient-based constrained optimization using a database of linear reduced-order models (Q2123821) (← links)
- A multi-fidelity ensemble Kalman filter with hyperreduced reduced-order models (Q2160470) (← links)
- Component-level proper orthogonal decomposition for flexible multibody systems (Q2176909) (← links)
- Data-driven model order reduction for problems with parameter-dependent jump-discontinuities (Q2246398) (← links)
- A certified RB method for PDE-constrained parametric optimization problems (Q2274582) (← links)
- Finite element model updating for structural applications (Q2297108) (← links)
- A fast, certified and ``tuning free'' two-field reduced basis method for the metamodelling of affinely-parametrised elasticity problems (Q2631572) (← links)
- A globally convergent method to accelerate large-scale optimization using on-the-fly model hyperreduction: application to shape optimization (Q2699379) (← links)
- A survey of projection-based model reduction methods for parametric dynamical systems (Q2808259) (← links)
- Using Krylov-Padé model order reduction for accelerating design optimization of structures and vibrations in the frequency domain (Q2895036) (← links)
- Parametric Model Order Reduction by Neighbouring Subspaces (Q2902835) (← links)
- Progressive construction of a parametric reduced‐order model for PDE‐constrained optimization (Q2952714) (← links)
- An adaptive and efficient greedy procedure for the optimal training of parametric reduced-order models (Q2952722) (← links)
- Fast Algorithms for Hyperspectral Diffuse Optical Tomography (Q3447464) (← links)
- Optimizing performance of the deconvolution model reduction for large ODE systems (Q3467611) (← links)
- Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (Q4580293) (← links)
- A Robust Algorithm for Parametric Model Order Reduction Based on Implicit Moment Matching (Q4983100) (← links)
- Preconditioned linear solves for parametric model order reduction (Q5030619) (← links)
- Reduced Order Model Hessian Approximations in Newton Methods for Optimal Control (Q5049241) (← links)
- A non-conforming dual approach for adaptive Trust-Region reduced basis approximation of PDE-constrained parameter optimization (Q5154016) (← links)
- Nonlinear Parametric Inversion Using Interpolatory Model Reduction (Q5264141) (← links)
- A Certified Trust Region Reduced Basis Approach to PDE-Constrained Optimization (Q5372636) (← links)
- Computing Reduced Order Models via Inner-Outer Krylov Recycling in Diffuse Optical Tomography (Q5738152) (← links)
- (Q5749184) (← links)
- A relaxed localized trust-region reduced basis approach for optimization of multiscale problems (Q6186537) (← links)
- Accelerated solutions of convection-dominated partial differential equations using implicit feature tracking and empirical quadrature (Q6574146) (← links)
