Optimizing subsurface field data acquisition using information theory
type: Item
instance of: scholarly article
title: Optimizing subsurface field data acquisition using information theory
zbMATH Open document ID: 1197.86049
author: A. Abellan
author: B. Nœtinger
published in: Mathematical Geosciences
publication date: 2010-09-20T00:00:00Z
Mathematics Subject Classification ID: 86A20
Mathematics Subject Classification ID: 86A32
Mathematics Subject Classification ID: 94A15
Mathematics Subject Classification ID: 62P30
zbMATH DE Number: 5788004
zbMATH Keywords: Bayesian
zbMATH Keywords: well test
zbMATH Keywords: covariance function
zbMATH Keywords: uncertainties
zbMATH Keywords: dynamic data
zbMATH Keywords: measurement optimization
describes a project that uses: L-BFGS-B
describes a project that uses: L-BFGS
describes a project that uses: GSLIB
describes a project that uses: LBFGS-B
MaRDI profile type: Publication
full work available at URL: s11004-010-9285-6
OpenAlex ID: W1978692610
cites work: A Limited Memory Algorithm for Bound Constrained Optimization
cites work: Q3260839
cites work: On Information and Sufficiency
cites work: On a Measure of the Information Provided by an Experiment
cites work: Optimized sample schemes for geostatistical surveys
cites work: Algorithm 778: L-BFGS-B
cites work: Designing and Integrating Composite Networks for Monitoring Multivariate Gaussian Pollution Fields
DOI: 10.1007/S11004-010-9285-6
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description: scientific article; zbMATH DE number 5788004