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On regularization methods based on dynamic programming techniques

Published in arXiv (Cornell University) • Jan 22, 2021
NobleIDNI2P80W74R60S39
Authors:
S. Kindermann
,
A. Leitao

Abstract

In this article we investigate the connection between regularization theory for inverse problems and dynamic programming theory. This is done by developing two new regularization methods, based on dynamic programming techniques. The aim of these methods is to obtain stable approximations to the solu...

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