Skip to content
Chair of
					Computational Mathematics
  • .
  • Home
  • About us
    • About the Chair
    • Head of the Chair
    • Our Team
    • Visitors
    • Past Members
  • Research
    • Projects
    • DyCon Blog
    • DyCon Toolbox
    • Industrial & Social Transference
  • Publications
    • Released
      • 2019
      • 2018
      • 2017
      • 2016
    • Accepted
    • Submitted
    • Others
  • Activities
    • Events calendar
    • Past Events
    • News
    • Seminars
    • Courses
    • enzuazua
    • Gallery
  • Join us
  • Contact

Sparse source identification of linear diffusion–advection equations by adjoint methods


A. Monge, E. Zuazua Sparse source identification of linear diffusion–advection equations by adjoint methods

Abstract: We present an algorithm for the time-inversion of diffusion–advection equations, based on the adjoint methodology. Given a final state distribution our main aim is to recover sparse initial conditions, constituted by a finite combination of Dirac deltas, identifying their location and mass. We discuss the strengths of the adjoint machinery and the difficulties that are to be faced, in particular when the diffusivity coefficient or the time horizon are large.

 Read Full Paper…

Posted in Azahar Monge, Enrique Zuazua, Publications, Submitted

Post navigation

← Turnpike in optimal shape design
Null controllability of a nonlocal heat equation with an additive integral kernel →
Deusto Foundation Logo University of Deusto
Contact
© 2016-2019 CCM
go up
  • Aviso Legal
  • Política de Privacidad
  • Política de Cookies
WE USE COOKIES ON THIS SITE TO ENHANCE USER EXPERIENCE. We also use analytics. By navigating any page you are giving your consent for us to set cookies.    more information