Resolution of Regularized Output Least Squares Estimators for Elliptic and Parabolic Problems

Autor:	Luther W. White, Ying-jun Jin
Rok vydání:	1998
Předmět:	Mathematical optimization Operator (computer programming) Non-linear least squares Estimator Applied mathematics Observable Finite element approximations Sensitivity (control systems) Least squares Resolution (algebra) Mathematics
Zdroj:	Applied Optimization ISBN: 9781441947963
DOI:	10.1007/978-1-4757-6095-8_21
Popis:	The sensitivity of interior optimal regularized output least squares estimators with respect to perturbations of coefficients used in posing numerical test problems for finite element approximations of parabolic problems is studied. By determining the null space of a sensitivity operator we may determine spaces of perturbations that are not observable. This information may be used in designing experiments. Numerical examples are given comparing results for elliptic systems to those for parabolic.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::26da1c224c96c1a8b6f94d19b8dc67a4 https://doi.org/10.1007/978-1-4757-6095-8_21 Zobrazit plný text záznamu