Author

Fabio Camilli

0 works0 citationsORCID

Recent research

  • AI & ComputingOpen access

    $$L^p$$ error estimates for numerical approximation of convex Hamilton–Jacobi equations

    Abstract We establish $$L^p$$ L p error estimates for monotone numerical schemes approximating convex Hamilton–Jacobi equations on the d -dimensional torus. Using the adjoint method and semiconcavity estimates, we first prove an $$L^1$$ L 1 error bound of order one for classical...

    Numerische Mathematik2026-09-090 citationsDOI
  • Society & EconomicsOpen access

    A Semi-Lagrangian Method for Solving State Constraint Mean Field Games in Macroeconomics

    Abstract. We study continuous-time heterogeneous agent models cast as Mean Field Games, in the Aiyagari–Bewley–Huggett framework. The model couples a Hamilton–Jacobi–Bellman equation for individual optimization with a Fokker–Planck–Kolmogorov equation for the wealth distribution....

    SIAM Journal on Control and Optimization2026-09-040 citationsDOI