Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Maurizio Falcone"'
Publikováno v:
Rendiconti di Matematica e delle Sue Applicazioni, Vol 41, Iss 3-4, Pp 193-221 (2020)
We present a tree structure algorithm for optimal control problems with state constraints. We prove a convergence result for a discrete time approximation of the value function based on a novel formulation in the case of convex constraints. Then the
Externí odkaz:
https://doaj.org/article/e3954a4a08a24bfc878f4e88c1afec35
Publikováno v:
Mathematics of Control, Signals, and Systems. 33:379-411
In this paper, we will deal with a Linear Quadratic Optimal Control problem with unknown dynamics. As a modeling assumption, we will suppose that the knowledge that an agent has on the current system is represented by a probability distribution $\pi$
The volume contains twelve papers dealing with the approximation of first and second order problems which arise in many fields of application including optimal control, image processing, geometrical optics and front propagation. Some contributions de
Publikováno v:
Numerische Mathematik. 145:271-311
We consider a class of “filtered” schemes for first order time dependent Hamilton–Jacobi equations and prove a general convergence result for this class of schemes. A typical filtered scheme is obtained mixing a high-order scheme and a monotone
We consider the approximation of some optimal control problems for the Navier-Stokes equation via a Dynamic Programming approach. These control problems arise in many industrial applications and are very challenging from the numerical point of view s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ab6c7a909065ff8696e5882f71626e9
In the dynamic programming approach to optimal control problems a crucial role is played by the value function that is characterized as the unique viscosity solution of a Hamilton-Jacobi-Bellman (HJB) equation. It is well known that this approach suf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c13491b1f00bf7fa938c0bbccf40fd4
https://hdl.handle.net/10278/5007920
https://hdl.handle.net/10278/5007920
Publikováno v:
Large-Scale Scientific Computing ISBN: 9783030975487
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e582b009a9999b81880c779702279754
https://doi.org/10.1007/978-3-030-97549-4_37
https://doi.org/10.1007/978-3-030-97549-4_37
Autor:
Maurizio Falcone
Publikováno v:
Imagine Math 8 ISBN: 9783030926892
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4de2705efc7f4d998dd5d186c55d503f
https://doi.org/10.1007/978-3-030-92690-8_23
https://doi.org/10.1007/978-3-030-92690-8_23
The volume collects several contributions to the INDAM workshop Mathematical Methods for Objects Reconstruction: from 3D Vision to 3D Printing held in Rome, February, 2021. The goal of the workshop was to discuss new methods and conceptual structure
This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing te