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Published in 2021 at "BIT Numerical Mathematics"
DOI: 10.1007/s10543-021-00886-9
Abstract: In this article we address the problem of minimizing a strictly convex quadratic function using a novel iterative method. The new algorithm is based on the well-known Nesterov’s accelerated gradient method. At each iteration of…
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Keywords:
strictly convex;
accelerated minimal;
gradient method;
convex quadratic ... See more keywords