An agent-oriented hierarchic strategy for solving inverse problems
type: Item
instance of: scholarly article
title: An agent-oriented hierarchic strategy for solving inverse problems
zbMATH Open document ID: 1322.93034
author: Maciej Smołka
author: David Pardo
author: Julen Álvarez-Aramberri
author: Robert Schaefer
author: Maciej Paszynski
published in: International Journal of Applied Mathematics and Computer Science
publication date: 2015-10-16T00:00:00Z
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 93B40
Mathematics Subject Classification ID: 93C95
zbMATH DE Number: 6495509
zbMATH Keywords: inverse problems
zbMATH Keywords: hybrid optimization methods
zbMATH Keywords: memetic algorithms
zbMATH Keywords: multi-agent systems
zbMATH Keywords: magnetotelluric data inversion
MaRDI profile type: Publication
full work available at URL: amcs-2015-0036
OpenAlex ID: W2294293646
cites work: A hybrid algorithm for solving inverse problems in elasticity
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cites work: Computing with hp-ADAPTIVE FINITE ELEMENTS
cites work: A hybrid method for inversion of 3D DC resistivity logging measurements
cites work: Q5480643
cites work: Q2969143
cites work: A goal-orientedhp-adaptive finite element method with electromagnetic applications. Part I: electrostatics
DOI: 10.1515/AMCS-2015-0036
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description: scientific article; zbMATH DE number 6495509