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• W4322096572 abstract "The present work is inspired by laboratory experiments providing measurements in a few places of the hive for a long period of time. Based on Keller-Segel model in form of coupled nonlinear parabolic equations for the local temperature T and the bee density $$rho ge 0$$ , using the real data, we investigate numerically the thermoregulation in honey bee colonies in winter. We propose a numerical approach, based on conjugate gradient method into two stages: first, we solve a semilinear parabolic inverse problem to recover the density $$rho $$ and the temperature T. On the second stage we solve the strongly nonlinear convection-diffusion equation to recover again the density $$rho $$ . The numerical tests show the efficiency of the method at the calibration of thermoregulation model." @default.
• W4322096572 created "2023-02-26" @default.
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• W4322096572 date "2023-01-01" @default.
• W4322096572 modified "2023-09-27" @default.
• W4322096572 title "Numerical Optimization Identification of a Keller-Segel Model for Thermoregulation in Honey Bee Colonies in Winter" @default.
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• W4322096572 doi "https://doi.org/10.1007/978-3-031-27034-5_19" @default.
• W4322096572 hasPublicationYear "2023" @default.
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