COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Conference on Mathematical Topics in Kinetic Theory > Uniformly accurate numerical schemes for highly oscillatory kinetic and Schrödinger equations
Uniformly accurate numerical schemes for highly oscillatory kinetic and Schrödinger equationsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact HoD Secretary, DPMMS. This work is devoted to the construction of efficient numerical schemes for a wide class of highly oscillatory models including kinetic Vlasov models, nonlinear Schr ödinger and Klein-Gordon equations. We present a general strategy to construct numerical schemes which are uniformly accurate with respect to the oscillation frequency. This is a stronger future than the usual so called “Asymptotic preserving” property, the last being therefore satisfied by our scheme in the highly oscillatory limit. Our strategy enables to simulate the oscillatory problem without using any mesh or time step refinement, and the order of the scheme is preserved uniformly in all regimes. The method is based on a “double-scale” reformulation of the original equation, with the introduction of an additional variable. Then a link is made with well-known strategies based on Chapman-Enskog expansions in kinetic theory, which we extend to the dispersive context of Schrödinger-type equations. This talk is part of the Conference on Mathematical Topics in Kinetic Theory series. This talk is included in these lists:Note that ex-directory lists are not shown. |
Other listsCraik Club Collective Phenomena group meeting Automating Biology using Robot Scientists Economic and Social History Graduate Workshop Plant Sciences Research Seminars Cambridge Hub eventsOther talksCambridge-Lausanne Workshop 2018 - Day 1 Lung Cancer. Part 1. Patient pathway and Intervention. Part 2. Lung Cancer: Futurescape Giant response of weakly driven systems Emulators for forecasting and UQ of natural hazards Aspects of adaptive Galerkin FE for stochastic direct and inverse problems Part IIB Poster Presentations Animal Migration Picturing the Heart in 2020 Discovering regulators of insulin output with flies and human islets: implications for diabetes and pancreas cancer Coin Betting for Backprop without Learning Rates and More Existence of Lefschetz fibrations on Stein/Weinstein domains Intelligent Self-Driving Vehicles |