NONSTANDARD NORMS AND ROBUST ESTIMATES FOR SADDLE POINT PROBLEMS

In this paper we discuss how to find norms for parameter-dependent saddle point problems which lead to robust (i.e., parameter-independent) estimates of the solution in terms of the data. In a first step a characterization of such norms is given for a general class of symmetric saddle point problems...

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Veröffentlicht in:	SIAM journal on matrix analysis and applications 2011-04, Vol.32 (2), p.536-560
1. Verfasser:	ZULEHNER, Walter
Format:	Artikel
Sprache:	eng
Schlagworte:	Algebra Calculus of variations and optimal control Computational mathematics Exact sciences and technology Linear and multilinear algebra, matrix theory Mathematical analysis Mathematics Norms Numerical analysis Numerical analysis. Scientific computation Numerical linear algebra Parametric inference Probability and statistics Sciences and techniques of general use Statistics
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