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The level set approach has proven widely successful in the study of inverse problems for interfaces, since its systematic development in the 1990s.
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Joel N. Franklin · 1970
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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