Pages that link to "Item:Q5254044"

The following pages link to Approximation of high-dimensional parametric PDEs (Q5254044):

Displaying 50 items.

• Greedy controllability of finite dimensional linear systems (Q340699) (← links)
• Lipschitz dependence of the coefficients on the resolvent and greedy approximation for scalar elliptic problems (Q344327) (← links)
• Application of quasi-Monte Carlo methods to elliptic PDEs with random diffusion coefficients: a survey of analysis and implementation (Q506617) (← links)
• Error bounds in high-order Sobolev norms for POD expansions of parameterized transient temperatures (Q524857) (← links)
• Robust optimal control of stochastic hyperelastic materials (Q821990) (← links)
• Simulation-based classification; a model-order-reduction approach for structural health monitoring (Q1639582) (← links)
• Reduced modeling of unknown trajectories (Q1639588) (← links)
• Sensor placement in nuclear reactors based on the generalized empirical interpolation method (Q1656628) (← links)
• Data assimilation and sampling in Banach spaces (Q1675437) (← links)
• Numerical solution of the homogeneous Neumann boundary value problem on domains with a thin layer of random thickness (Q1691788) (← links)
• Greedy optimal control for elliptic problems and its application to turnpike problems (Q1719565) (← links)
• Higher-order principal component analysis for the approximation of tensors in tree-based low-rank formats (Q1728088) (← links)
• Analyticity, regularity, and generalized polynomial chaos approximation of stochastic, parametric parabolic two-scale partial differential equations (Q1987357) (← links)
• Fast reconstruction of 3D blood flows from Doppler ultrasound images and reduced models (Q2022044) (← links)
• Convergence of adaptive stochastic collocation with finite elements (Q2047614) (← links)
• Numerical solution of the parametric diffusion equation by deep neural networks (Q2049099) (← links)
• Model reduction and neural networks for parametric PDEs (Q2050400) (← links)
• Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs (Q2060092) (← links)
• Low-rank dynamic mode decomposition: an exact and tractable solution (Q2062877) (← links)
• The uniform sparse FFT with application to PDEs with random coefficients (Q2098298) (← links)
• The Vlasov-Fokker-Planck equation with high dimensional parametric forcing term (Q2117303) (← links)
• A theoretical analysis of deep neural networks and parametric PDEs (Q2117329) (← links)
• Model reduction for fractional elliptic problems using Kato's formula (Q2119432) (← links)
• \(L^1\) transport energy (Q2156344) (← links)
• A hyper-reduced MAC scheme for the parametric Stokes and Navier-Stokes equations (Q2157141) (← links)
• Optimal sampling and Christoffel functions on general domains (Q2165576) (← links)
• IGA-based multi-index stochastic collocation for random PDEs on arbitrary domains (Q2173588) (← links)
• A multilevel sparse kernel-based stochastic collocation finite element method for elliptic problems with random coefficients (Q2202975) (← links)
• Reduced basis approximations of the solutions to spectral fractional diffusion problems (Q2211433) (← links)
• Regularity and sparse approximation of the recursive first moment equations for the lognormal Darcy problem (Q2214457) (← links)
• A bi-fidelity method for the multiscale Boltzmann equation with random parameters (Q2222790) (← links)
• A note on tools for prediction under uncertainty and identifiability of SIR-like dynamical systems for epidemiology (Q2240230) (← links)
• Greedy algorithm for parameter dependent operator Lyapunov equations (Q2242906) (← links)
• Variational Monte Carlo -- bridging concepts of machine learning and high-dimensional partial differential equations (Q2305540) (← links)
• New conditions on stable recovery of weighted sparse signals via weighted \(l_1\) minimization (Q2312513) (← links)
• Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension (Q2359687) (← links)
• Stable splittings of Hilbert spaces of functions of infinitely many variables (Q2360671) (← links)
• Polynomial approximation of anisotropic analytic functions of several variables (Q2663138) (← links)
• A convergent iterated quasi-interpolation for periodic domain and its applications to surface PDEs (Q2676803) (← links)
• Budget-limited distribution learning in multifidelity problems (Q2678969) (← links)
• Sparse polynomial approximations for affine parametric saddle point problems (Q2679763) (← links)
• A metalearning approach for physics-informed neural networks (PINNs): application to parameterized PDEs (Q2681136) (← links)
• On the cardinality of lower sets and universal discretization (Q2693687) (← links)
• Parameter Estimation for High-Dimensional PDE Models Using a Reduced Approach (Q2801808) (← links)
• Reduced basis approximation and<i>a posteriori</i>error estimates for parametrized elliptic eigenvalue problems (Q2953005) (← links)
• Kolmogorov widths and low-rank approximations of parametric elliptic PDEs (Q2953203) (← links)
• Reduced Basis Greedy Selection Using Random Training Sets (Q3304879) (← links)
• The Random Feature Model for Input-Output Maps between Banach Spaces (Q3382802) (← links)
• Optimal Reduced Model Algorithms for Data-Based State Estimation (Q3386988) (← links)
• The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications (Q4594245) (← links)