Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems

Article Properties
Refrences
Title Journal Journal Categories Citations Publication Date
Turbulence and the dynamics of coherent structures. I. Coherent structures Quarterly of Applied Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
3,355 1987
An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds SIAM Journal on Optimization
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
1,980 1996
10.1007/BF01582221
10.1214/10-BA603
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space SIAM Journal on Scientific Computing
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
198 2008
Citations
Title Journal Journal Categories Citations Publication Date
Deep neural operators as accurate surrogates for shape optimization Engineering Applications of Artificial Intelligence
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
5 2024
A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models Journal of Computational Physics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Physics
2024
Domain-decomposed Bayesian inversion based on local Karhunen-Loève expansions Journal of Computational Physics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Physics
2024
A MCMC method based on surrogate model and Gaussian process parameterization for infinite Bayesian PDE inversion Journal of Computational Physics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Physics
2024
Deep Importance Sampling Using Tensor Trains with Application to a Priori and a Posteriori Rare Events SIAM Journal on Scientific Computing
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2024
Citations Analysis
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Science: Mathematics88
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The category Science: Mathematics 88 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Comments on: A general science-based framework for dynamical spatio-temporal models and was published in 2010. The most recent citation comes from a 2024 study titled A MCMC method based on surrogate model and Gaussian process parameterization for infinite Bayesian PDE inversion. This article reached its peak citation in 2020, with 16 citations. It has been cited in 84 different journals, 8% of which are open access. Among related journals, the SIAM Journal on Scientific Computing cited this research the most, with 16 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year