img Prof. Boris Mordukhovich
Department of Mathematics and Institute for AI and Data Science
Wayne State University, Detroit, Michigan USA

Application of Optimization to Proton Therapy
The talk is devoted to investigating single-objective and multiobjective optimization problems involving the so-called l0-norm function, which is nondifferentiable and nonconvex. Such problems appear in proton beam therapy models of cancer research. The developed approach uses first-order and second-order subdifferential tools of variational analysis and scalarization techniques of multiobjective optimization. Based on this machinery, we propose several algorithms of the subgradient and generalized Newtonian types and conduct their convergence analysis. The obtained results are illustrated by numerical examples from proton therapy models. (Based on the collaboration with the Proton Therapy Center of the Corewell William Beaumont Hospital, Royal Oak, Michigan.)

Speakers

Speakers

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    Prof. Boris Mordukhovich
    Institute for AI and Data Science, Wayne State University (USA)

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    Prof. Sedat Akleylek
    Institute of Computer Science, University of Tartu (Estonia)

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    Prof. Perviz Ahmedzade
    Ege University (Türkiye),
    Samarkand State Architectural and Civil Engineering University (Uzbekistan)
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    Prof. Azer Kasimzade
    Azerbaijan University of Architecture and Construction (Azerbaijan)
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    Prof. Semyon Serovaysky
    Al-Farabi Kazakh National University (Kazakhstan)
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    Prof. Samir Rustamov
    ADA University (Azerbaijan)
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