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• W2024508231 abstract "We develop a family of monotonically convergent iterative algorithms for solving a wide class of optimal control problems in which a dynamical system interacts nonlinearly with a control. The key idea is to divide a control into identical components and to introduce auxiliary steps to update each component at every iteration step. The algorithms are proved to exhibit monotonic convergence, which is also numerically confirmed through a case study of the control of molecular orientation. The numerical results show that high-quality solutions can be obtained by using the present algorithms." @default.
• W2024508231 created "2016-06-24" @default.
• W2024508231 creator A5013493324 @default.
• W2024508231 creator A5017040677 @default.
• W2024508231 date "2008-03-18" @default.
• W2024508231 modified "2023-10-14" @default.
• W2024508231 title "Monotonically convergent algorithms for solving quantum optimal control problems of a dynamical system nonlinearly interacting with a control" @default.
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• W2024508231 doi "https://doi.org/10.1103/physreva.77.033414" @default.
• W2024508231 hasPublicationYear "2008" @default.
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