Robust Data Assimilation Using $L_1$ and Huber Norms
From MaRDI portal
Publication:5275041
DOI10.1137/15M1045910zbMath1368.65018arXiv1511.01593OpenAlexW2962809917WikidataQ57580417 ScholiaQ57580417MaRDI QIDQ5275041
Adrian Sandu, Vishwas Rao, Elias D. Nino Ruiz, Michael Kwok-Po Ng
Publication date: 7 July 2017
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1511.01593
Related Items
Numerical linear algebra in data assimilation ⋮ Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models ⋮ Reduced basis approximation and a posteriori error bounds for 4D-Var data assimilation
Uses Software
Cites Work
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- TwIST
- An optimization framework to improve 4D-Var data assimilation system performance
- A derivative-free trust region framework for variational data assimilation
- Discrete second order adjoints in atmospheric chemical transport modeling
- Adjoint sensitivity analysis of regional air quality models
- Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter
- Coordinate and subspace optimization methods for linear least squares with non-quadratic regularization
- A Posteriori Error Estimates for the Solution of Variational Inverse Problems
- An EM algorithm for wavelet-based image restoration
- Why Simple Shrinkage Is Still Relevant for Redundant Representations?
- Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
- Sparse Reconstruction by Separable Approximation
- Second-order adjoints for solving PDE-constrained optimization problems
- Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery
- Signal Recovery by Proximal Forward-Backward Splitting
- The 1972 Wald Lecture Robust Statistics: A Review
- Computer Vision - ECCV 2004
