Regularization of linear and nonlinear ill-posed problems by mollification

In this paper, we address the problem of approximating solutions of ill-posed problems using mollification. We quickly review existing mollification regularization methods and provide two new approximate solutions to a general ill-posed equation $T(f) =g$ where $T$ can be nonlinear. The regularized...

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Bibliographische Detailangaben

1. Verfasser:	Lee, Walter Cedric Simo Tao
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Numerical Analysis Mathematics - Functional Analysis Mathematics - Numerical Analysis Mathematics - Optimization and Control
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