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Published in 2019 at "Numerical Algorithms"
DOI: 10.1007/s11075-019-00818-3
Abstract: For finding the minimum value of differentiable functions over a nonempty closed convex subset of a Hilbert space, the hybrid steepest descent method (HSDM) can be applied. In this work, we study perturbed algorithms in…
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Keywords:
steepest descent;
subdifferentiable functions;
hybrid steepest;
superiorization ... See more keywords
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Published in 2017 at "Inverse Problems"
DOI: 10.1088/1361-6420/33/4/044012
Abstract: Multicriteria optimization problems occur in many real life applications, for example in cancer radiotherapy treatment and in particular in intensity modulated radiation therapy (IMRT). In this work we focus on optimization problems with multiple objectives…
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Keywords:
superiorization;
radiotherapy treatment;
lexicographic optimization;
optimization ... See more keywords
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Published in 2017 at "Inverse Problems"
DOI: 10.1088/1361-6420/aa5d79
Abstract: The convex feasibility problem is to find a common point of a finite family of closed convex subsets. In many applications one requires something more, namely finding a common point of closed convex subsets which…
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Keywords:
level control;
superiorization;
methodology;
convex feasibility ... See more keywords