Other publications – cmc.deusto.eus

Quantitative touchdown localization for the MEMS problem with variable dielectric permittivity

C. Esteve, Ph Souplet. Quantitative touchdown localization for the MEMS problem with variable dielectric permittivity, NONLINEARITY, Vol. 31, No. 11 (2018). DOI: 10.1088/1361-6544 Abstract. We consider a well-known model for…

The evolution problem associated with eigenvalues of the Hessian

P. Blanc, C. Esteve, J. D. Rossi. The evolution problem associated with eigenvalues of the Hessian. J. London Math. Soc. (2020). https://doi.org/10.1112/jlms.12363 Abstract. In this paper we study the evolution…

Single-point Gradient Blow-up on the Boundary for Diffusive Hamilton-Jacobi Equation in domains with non-constant curvature

C. Esteve Single-point Gradient Blow-up on the Boundary for Diffusive Hamilton-Jacobi Equation in domains with non-constant curvatureJ MATH PURE APPL, Vol 137 (2020) pp. 143-177, DOI: 10.1016/j.matpur.2019.12.006 Abstract. We consider…

Quantitative touchdown localization for the MEMS problem with variable dielectric permittivity

The evolution problem associated with eigenvalues of the Hessian

Single-point Gradient Blow-up on the Boundary for Diffusive Hamilton-Jacobi Equation in domains with non-constant curvature

No touchdown at points of small permittivity and nontrivial touchdown sets for the MEMS problem

Mathematical model to asses impact of vih/aids infection in the spread of tuberculosis

Global Stability of a SVEIR Epidemic Model: Application to Poliomyelitis Transmission Dynamics

Mathematical model to asses vaccination and effective contact rate in the spread of tuberculosis

Corrigendum and addendum to “Hierarchic control for a coupled parabolic system”

Robust Stackelberg controllability for linear and semilinear heat equations

Some remarks on the hierarchic control for coupled parabolic PDEs

Hierarchic control for a coupled parabolic system

Universal Approximation of Dynamical Systems by Semi-Autonomous Neural ODEs and Applications

Deep Neural Networks: Multi-Classification and Universal Approximation

Optimized classification with neural odes via separability

Approximate and Weighted Data Reconstruction Attack in Federated Learning

Stability and Convergence of a Randomized Model Predictive Control Strategy