Iterative algorithms for constructing approximate solutions of nonlinear problems from erroneous inadequate data

DOI10.1016/0022-247X(74)90238-8zbMath0285.65034OpenAlexW1965904787MaRDI QIDQ1845465

J. Surmont, Yung Ming Chen

Publication date: 1974

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0022-247x(74)90238-8

Mathematics Subject Classification ID

General theory of numerical analysis in abstract spaces (65J05) Numerical methods for integral equations (65R20) Other nonlinear integral equations (45G10) Equations and inequalities involving linear operators, with vector unknowns (47A50) Numerical methods for ill-posed problems for initial value and initial-boundary value problems involving PDEs (65M30)

Related Items (3)

Numerical methods for solving differential equations with inadequate data ⋮ Iterative algorithms for nonlinear problems in remote sensing ⋮ A numerical algorithm for remote sensing of density profiles of a simple ocean model by acoustic pulses

Cites Work

• Well-posed stochastic extensions of ill-posed linear problems
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