Azahar Monge – cmc.deusto.eus

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

Adjoint problem, Diffusion–advection equation, Inverse problems, optimal control, Optimization

Monge A., Zuazua E. Sparse source identification of linear diffusion–advection equations by adjoint methods. Syst. Control. Lett, vol. 145 (2020). DOI: https://doi.org/10.1016/j.sysconle.2020.104801 Abstract: We present an algorithm for the time-inversion…

GAMM19

Austria. 22.02.2019. From February 18th to 22nd, Azahar Monge, member of the DyCon project, participated in the 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM19)…

On the convergence rate of the Dirichlet–Neumann iteration for unsteady thermal fluid–structure interaction

A. Monge, P. Birken On the convergence rate of the Dirichlet-Neumann iteration for unsteady thermal fluid-structure interaction. Comput Mech, Vol 62 (2018), pp. 525-541. DOI: 10.1007/s00466-017-1511-3 Abstract: We consider the…

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

GAMM19

On the convergence rate of the Dirichlet–Neumann iteration for unsteady thermal fluid–structure interaction

Control of neural transport for normalizing flows

A Two-Stage Numerical Approach for the Sparse Initial Source Identification of a Diffusion-Advection Equation

Gaussian Beam ansatz for finite difference wave equations

Long-time convergence of a nonlocal Burgers’ equation towards the local N-wave

Optimal design of sensors via geometric criteria