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Convex optimization with computational errors
This book studies approximate solutions of optimization problems in the presence of computational errors. It contains a number of results on the convergence behavior of algorithms in a Hilbert space, which are well known as important tools for solving optimization problems. The research presented co...
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| Lenguaje: | eng |
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Springer
2020
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-37822-6 http://cds.cern.ch/record/2708795 |