activity
20242026
collaborators

6 papers

math.OC2026

On Discrete-Time Approximations to Infinite Horizon Differential Games

Javier de Frutos, Víctor Gatón, Julia Novo

In this paper we study a discrete-time semidiscretization and a fully discretization (discrete-time, discrete-state) of an infinite time horizon noncooperative -player different…

math.OC2026

Optimal bounds for numerical approximations of finite horizon problems based on dynamic programming approach

Javier de Frutos, Julia Novo

In this paper we provide optimal bounds for fully discrete approximations to finite horizon problems via dynamic programming. We adapt the error analysis in \cite{nos} for the infi…

math.NA2026

Optimal bounds for numerical approximations of infinite horizon problems based on dynamic programming approach

Javier de Frutos, Julia Novo

In this paper we get error bounds for fully discrete approximations of infinite horizon problems via the dynamic programming approach. It is well known that considering a time disc…

math.NA2025

Error analysis of BDF schemes for the evolutionary incompressible Navier--Stokes equations

Bosco García-Archilla, V. John, Julia Novo

Error bounds for fully discrete schemes for the evolutionary incompressible Navier--Stokes equations are derived in this paper. For the time integration we apply BDF- methods, $…

math.NA2024

Optimal bounds for POD approximations of infinite horizon control problems based on time derivatives

Javier de Frutos, Bosco Garcia-Archilla, Julia Novo

In this paper we consider the numerical approximation of infinite horizon problems via the dynamic programming approach. The value function of the problem solves a Hamilton-Jacobi-…

math.NA2024

Pointwise error bounds in POD methods without difference quotients

Bosco García-Archilla, Julia Novo

In this paper we consider proper orthogonal decomposition (POD) methods that do not include difference quotients (DQs) of snapshots in the data set. The inclusion of DQs have been…