Cover Image

Low-rank variance reduction for uncertain radiative transfer with control variates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Patwardhan, Chinmay, Stammer, Pia, Løvbak, Emil, Kusch, Jonas, Krumscheid, Sebastian
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis 65M75, 65C05, 35Q49
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Asymptotic-preserving and energy stable dynamical low-rank approximation for thermal radiative transfer equations
by: Patwardhan, Chinmay, et al.
Published: (2024)

A Parallel, Energy-Stable Low-Rank Integrator for Nonlinear Multi-Scale Thermal Radiative Transfer
by: Patwardhan, Chinmay, et al.
Published: (2025)

An energy stable and conservative multiplicative dynamical low-rank discretization for the Su-Olson problem
by: Baumann, Lena, et al.
Published: (2025)

An adaptive dynamical low-rank optimizer for solving kinetic parameter identification inverse problems
by: Baumann, Lena, et al.
Published: (2025)

Fully discrete energy-dissipative and conservative discrete gradient particle methods for a class of continuity equations
by: Hu, Jingwei, et al.
Published: (2024)

A stable multiplicative dynamical low-rank discretization for the linear Boltzmann-BGK equation
by: Baumann, Lena, et al.
Published: (2024)

Exact a posteriori error control for variational problems via convex duality and explicit flux reconstruction
by: Bartels, Sören, et al.
Published: (2024)

On the geometry and dynamical formulation of the Sinkhorn algorithm for optimal transport
by: Modin, Klas
Published: (2023)

A supervised learning scheme for computing Hamilton-Jacobi equation via density coupling
by: Cui, Jianbo, et al.
Published: (2024)

Particle-based algorithm for stochastic optimal control
by: Reich, Sebastian
Published: (2023)

Differential-Equation Constrained Optimization With Stochasticity
by: Li, Qin, et al.
Published: (2023)

Transport based particle methods for the Fokker-Planck-Landau equation
by: Ilin, Vasily, et al.
Published: (2024)

Convergence of numerical methods for the Navier-Stokes-Fourier system driven by uncertain initial/boundary data
by: Feireisl, Eduard, et al.
Published: (2024)

Error estimates for the finite element approximation of bilinear boundary control problems
by: Winkler, Max
Published: (2019)

Medical Image Registration using optimal control of a linear hyperbolic transport equation with a DG discretization
by: Zapf, Bastian, et al.
Published: (2023)

Forward Euler for Wasserstein Gradient Flows: Breakdown and Regularization
by: Xu, Yewei, et al.
Published: (2025)

Learning Neural Pushforward Samplers for Distributions from Fokker-Planck Equations by Weak Adversarial Training
by: He, Andrew Qing, et al.
Published: (2025)

Model Hierarchy for the Shape Optimization of a Microchannel Cooling System
by: Blauth, Sebastian, et al.
Published: (2019)

A separable and asymptotic-preserving dynamical low-rank method for the Vlasov-Poisson-Fokker-Planck system
by: Zhang, Shiheng, et al.
Published: (2026)

Wasserstein convergence rates for stochastic particle approximation of Boltzmann models
by: Borghi, Giacomo, et al.
Published: (2025)

A Posteriori Error Analysis of Runge-Kutta Discontinuous Galerkin Schemes with SIAC Post-Processing for Nonlinear Convection-Diffusion Systems
by: Giesselmann, Jan, et al.
Published: (2026)

Computing the Gross-Pitaevskii Ground State via Wasserstein Gradient Flow in Diffeomorphism Space
by: Zhang, Xiangxiong, et al.
Published: (2026)

On the Spectral Properties of Van Leer and AUSM Flux-Vector Splitting Schemes
by: Xie, Zhengrong, et al.
Published: (2026)

Error estimates for a bilinear optimal control problem of Maxwell's equations
by: Fuica, Francisco, et al.
Published: (2024)

Neural Pushforward Samplers for the Fokker-Planck Equation on Embedded Riemannian Manifolds
by: He, Andrew Qing, et al.
Published: (2026)

On the convergence rates of generalized conditional gradient method for fully discretized Mean Field Games
by: Nakamura, Haruka, et al.
Published: (2026)

Structure preserving discontinuous Galerkin approximation of a hyperbolic-parabolic system
by: Bause, Markus, et al.
Published: (2023)

Radon--Wasserstein Gradient Flows for Interacting-Particle Sampling in High Dimensions
by: Hess-Childs, Elias, et al.
Published: (2026)

Explicit relaxation Particle-in-Cell methods for Vlasov-Poisson equations with a strong magnetic field
by: Wang, Lina, et al.
Published: (2026)

Convex-concave splitting for the Allen-Cahn equation leads to $\varepsilon^2$-slow movement of interfaces
by: Dondl, Patrick, et al.
Published: (2025)

Weak Adversarial Neural Pushforward Method for the McKean-Vlasov / Mean-Field Fokker-Planck Equation
by: He, Andrew Qing, et al.
Published: (2026)

Boundary shape reconstruction with Robin condition: existence result, stability analysis, and inversion via multiple measurements
by: Afraites, Lekbir, et al.
Published: (2024)

Controlling instability in the Vlasov-Poisson system through moment-based optimization
by: Lu, Jingcheng, et al.
Published: (2025)

Shape optimization of optical microscale inclusions
by: Bezbaruah, Manaswinee, et al.
Published: (2023)

Shape uncertainty quantification of Maxwell eigenvalues and -modes with application to TESLA cavities
by: Dölz, Jürgen, et al.
Published: (2024)

A nonsmooth primal-dual method with interwoven PDE constraint solver
by: Jensen, Bjørn, et al.
Published: (2022)

Efficient preconditioners for solving dynamical optimal transport via interior point methods
by: Facca, Enrico, et al.
Published: (2022)

Random domain decomposition for parabolic PDEs on graphs
by: Hernández, Martín
Published: (2025)

Robust and conservative dynamical low-rank methods for the Vlasov equation via a novel macro-micro decomposition
by: Coughlin, Jack, et al.
Published: (2023)

Wavelet s-Wasserstein distances for 0 < s <= 1
by: Craig, Katy, et al.
Published: (2024)