Imagen de Portada

Model Error Covariance Estimation for Weak Constraint Data Assimilation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Babyale, Sandra R., Mead, Jodi, Calhoun, Donna, Azike, Patricia O.
Formato:	Preprint
Publicado:	2025
Materias:	Methodology Numerical Analysis Optimization and Control 65K10, 65F22
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Sampling Distributions as Regularization in Learned Inverse Problems
por: Babyale, Sandra R., et al.
Publicado: (2026)

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

An Introduction to Solving the Least-Squares Problem in Variational Data Assimilation
por: Daužickaitė, I., et al.
Publicado: (2025)

Global Energy Minimization for Simplex Mesh Optimization: A Radius Ratio Approach to Sliver Elimination
por: Wang, Dong, et al.
Publicado: (2025)

Generalized sparsity-promoting solvers for Bayesian inverse problems: Versatile sparsifying transforms and unknown noise variances
por: Lindbloom, Jonathan, et al.
Publicado: (2024)

H-CMRH: a novel inner product free hybrid Krylov method for large-scale inverse problems
por: Brown, Ariana N., et al.
Publicado: (2024)

Variable Projected Augmented Lagrangian Methods for Generalized Lasso Problems
por: Aleotti, Stefano, et al.
Publicado: (2025)

Randomized Kaczmarz in Adversarial Distributed Setting
por: Huang, Longxiu, et al.
Publicado: (2023)

Riemannian multigrid line search for low-rank problems
por: Sutti, Marco, et al.
Publicado: (2020)

New Error Estimates for An Elliptic Distributed Optimal Control Problem with Pointwise Control Constraints
por: Brenner, Susanne C., et al.
Publicado: (2024)

Adaptive Momentum via Minimal Dual Function for Accelerating Randomized Sparse Kaczmarz
por: Zhang, Lu, et al.
Publicado: (2026)

Discovering new phases via computing second-order stationary states of Landau-Brazovskii model
por: Bao, Chenglong, et al.
Publicado: (2026)

On Optimal Regularization Parameters via Bilevel Learning
por: Ehrhardt, Matthias J., et al.
Publicado: (2023)

An Improved Adaptive Orthogonal Basis Deflation Method for Multiple Solutions with Applications to Nonlinear Elliptic Equations in Varying Domains
por: Ye, Yangyi, et al.
Publicado: (2025)

Randomized flexible Krylov methods for $\ell_p$ regularization
por: Landman, Malena Sabaté, et al.
Publicado: (2025)

Inexact Generalized Golub-Kahan Methods for Large-Scale Bayesian Inverse Problems
por: Bu, Yutong, et al.
Publicado: (2024)

Inner Product Free Krylov Methods for Large-Scale Inverse Problems
por: Brown, Ariana N., et al.
Publicado: (2024)

Weighted inhomogeneous regularization for inverse problems with indirect and incomplete measurement data
por: Choi, Bosu, et al.
Publicado: (2023)

Automatic nonstationary anisotropic Tikhonov regularization through bilevel optimization
por: Gazzola, Silvia, et al.
Publicado: (2024)

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

Solving Fredholm Integral Equations of the Second Kind via Wasserstein Gradient Flows
por: Crucinio, Francesca R., et al.
Publicado: (2024)

Wavefront super-resolution for Adaptive Optics systems on ground-based telescopes
por: Wu, Yutong, et al.
Publicado: (2025)

A New Error Analysis for Finite Element Methods for Elliptic Neumann Boundary Control Problems with Pointwise Control Constraints
por: Brenner, Susanne C., et al.
Publicado: (2024)

State-based approach to the numerical solution of Dirichlet boundary optimal control problems for the Laplace equation
por: Langer, Ulrich, et al.
Publicado: (2025)

A Preconditioned Version of a Nested Primal-Dual Algorithm for Image Deblurring
por: Aleotti, Stefano, et al.
Publicado: (2024)

Deep Uzawa for PDE constrained optimisation
por: Makridakis, Charalambos G., et al.
Publicado: (2024)

Two-Level Sketching Alternating Anderson acceleration for Complex Physics Applications
por: Barnafi, Nicolás A., et al.
Publicado: (2025)

The Bayesian SIAC filter
por: Glaubitz, Jan, et al.
Publicado: (2025)

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

Discretization of Total Variation in Optimization with Integrality Constraints
por: Schiemann, Annika, et al.
Publicado: (2024)

EnKSGD: A Class Of Preconditioned Black Box Optimization And Inversion Algorithms
por: Irwin, Brian, et al.
Publicado: (2023)

Joint Signal Recovery and Uncertainty Quantification via the Residual Prior Transform
por: Xiao, Yao, et al.
Publicado: (2025)

Solving Fredholm Integral Equations of the First Kind via Wasserstein Gradient Flows
por: Crucinio, Francesca R., et al.
Publicado: (2022)

Efficient gradient-based methods for bilevel learning via recycling Krylov subspaces
por: Ehrhardt, Matthias J., et al.
Publicado: (2024)

BDF schemes for accelerated gradient flows in projection-free approximation of nonconvex constrained variational minimization
por: Dong, Guozhi, et al.
Publicado: (2024)

A Spectral Preconditioner for the Conjugate Gradient Method with Iteration Budget
por: Diouane, Youssef, et al.
Publicado: (2026)

Fast numerical solvers for parameter identification problems in mathematical biology
por: Benková, Karolína, et al.
Publicado: (2024)

ResQPASS: an algorithm for bounded variable linear least squares with asymptotic Krylov convergence
por: Symoens, Bas, et al.
Publicado: (2023)

Riemannian Newton methods for energy minimization problems of Kohn-Sham type
por: Altmann, R., et al.
Publicado: (2023)

A Gauss-Newton Method with No Additional PDE Solves Beyond Gradient Evaluation for Large-Scale PDE-Constrained Inverse Problems
por: Cherry, Cash, et al.
Publicado: (2026)