Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Loulakis, Michail"'
We consider the stochastic control problem of the shallow lake and continue the work of G. T. Kossioris, Loulakis, and Souganidis (2019) in three directions. First, we generalise the characterisation of the value function as the viscosity solution of
Externí odkaz:
http://arxiv.org/abs/2309.02885
In this work we consider a model problem of deep neural learning, namely the learning of a given function when it is assumed that we have access to its point values on a finite set of points. The deep neural network interpolant is the the resulting a
Externí odkaz:
http://arxiv.org/abs/2306.13784
We consider the approximation of initial/boundary value problems involving, possibly high-dimensional, dissipative evolution partial differential equations (PDEs) using a deep neural network framework. More specifically, we first propose discrete gra
Externí odkaz:
http://arxiv.org/abs/2206.00290
Autor:
Kominis, I. K., Loulakis, Michail
Publikováno v:
Journal of Applied Physics 131, 084401 (2022)
It was recently proposed to use the human visual system's ability to perform efficient photon counting in order to devise a new biometric methodology. The relevant biometric fingerprint is represented by the optical losses light suffers along several
Externí odkaz:
http://arxiv.org/abs/2112.03211
Condensing zero range processes (ZRPs) are stochastic interacting particle systems that exhibit phase separation with the emergence of a condensate. Standard approaches for deriving a hydrodynamic limit of the density fail in these models, and an eff
Externí odkaz:
http://arxiv.org/abs/1910.00493
Publikováno v:
In Communications in Nonlinear Science and Numerical Simulation February 2023 117
Publikováno v:
Random Structures & Algorithms 57 (2), 317-338 (2020)
Two simple Markov processes are examined, one in discrete and one in continuous time, arising from idealized versions of a transmission protocol for mobile, delay-tolerant networks. We consider two independent walkers moving with constant speed on ei
Externí odkaz:
http://arxiv.org/abs/1808.03830
Publikováno v:
Probability and Analysis in Interacting Physical Systems. VAR75 2016. Springer Proceedings in Mathematics & Statistics, vol 283
We study the welfare function of the deterministic and stochastic shallow lake problem. We show that the welfare function is the viscosity solution of the associated Bellman equation, we establish several properties including its asymptotic behaviour
Externí odkaz:
http://arxiv.org/abs/1712.04210
Publikováno v:
Electron. J. Probab., Volume 23 (2018), paper no. 95, 34 pp
We consider continuous-time Markov chains which display a family of wells at the same depth. We provide sufficient conditions which entail the convergence of the finite-dimensional distributions of the order parameter to the ones of a finite state Ma
Externí odkaz:
http://arxiv.org/abs/1703.09481
Publikováno v:
IEEE Transactions on Wireless Communications (2015) Vol.14 (12), pp 6967-6980
Network Utility Maximization (NUM) is often applied for the cross-layer design of wireless networks considering known wireless channels. However, realistic wireless channel capacities are stochastic bearing time-varying statistics, necessitating the
Externí odkaz:
http://arxiv.org/abs/1508.03716