Stochastic projectional schemes for random linear operator equations of the first and second kinds

DOI10.1080/01630567908816029zbMath0446.60048OpenAlexW1997696905MaRDI QIDQ3891514

Heinz W. Engl, M. Zuhair Nashed

Publication date: 1979

Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01630567908816029

zbMATH Keywords

constructing measurable approximationsstochastic projectional schemes

Mathematics Subject Classification ID

Random operators and equations (aspects of stochastic analysis) (60H25)

Related Items (8)

Operator-theoretic and regularization approaches to ill-posed problems ⋮ Stochastic Galerkin techniques for random ordinary differential equations ⋮ Generalized inverses of random linear operators in Banach spaces ⋮ Weak compactness of solution measures of nonlinear approximate random operator equations ⋮ On a Class of Random Variational Inequalities on Random Sets ⋮ Ill-Posed Problems: Operator Methodologies of Resolution and Regularization ⋮ Convergence of approximate solutions of nonlinear random operator equations with non-unique solutions ⋮ Approximate solution of random integral equations: General methods

Cites Work

• Unnamed Item
• Unnamed Item
• Random integral equations
• Random fixed point theorems for multivalued mappings
• Fixed point theorems in probabilistic analysis
• Some random fixed point theorems for strict contractions and nonexpansive mappings
• Measurability of Generalized Inverses of Random Linear Operators

This page was built for publication: Stochastic projectional schemes for random linear operator equations of the first and second kinds