Results 81 to 90 of about 303 (161)

Robust optimal control of compartmental models in epidemiology: Application to the COVID-19 pandemic. [PDF]

Commun Nonlinear Sci Numer Simul, 2022
Olivares A, Staffetti E.
europepmc   +1 more source

ON OPTIMAL EXPERIMENTAL DESIGNS FOR SPARSE POLYNOMIAL CHAOS EXPANSIONS

, 2016
Uncertainty quantification (UQ) has received much attention in the literature in the pastdecade. In this context, Sparse Polynomial chaos expansions (PCE) have been shown to beamong the most promising methods because of their ability to model highly complex models atrelatively low computational costs.
Fajraoui, Noura, Marelli, S, Sudret, B
openaire   +1 more source

Stochastic Chaos and Markov Blankets. [PDF]

Entropy (Basel), 2021
Friston K, Heins C, Ueltzhöffer K, Da Costa L, Parr T.   +4 more
europepmc   +1 more source

Imprecise probabilities and sparse polynomial chaos expansions

, 2015
Schöbi, Roland, Sudret, Bruno
openaire   +3 more sources

Sparse polynomial chaos expansions for uncertainty quantification and sensitivity analysis

, 2019
Computational models are used nowadays in virtually all fields of applied sciences and engineering to predict the behaviour of complex natural or man-made systems. These so-called simulators usually feature dozens of parameters and are expensive to run, even when taking full advantage of the available computer power.
openaire   +3 more sources

Sparse polynomial chaos expansions in engineering applications

, 2013
Sudret, Bruno; id_orcid0000-0002-9501-7395, Blatman, G.   +1 more
openaire   +3 more sources

Sparse polynomial surrogates for F-actin networks with compliant crosslinkers. [PDF]

Biomech Model Mechanobiol
Pacheco L, Parente M, Ferreira J.
europepmc   +1 more source

Using remote sensing data within an optimal spatiotemporal model for invasive plant management: the case of Ailanthus altissima in the Alta Murgia National Park. [PDF]

Sci Rep, 2023
Baker CM, Blonda P, Casella F, Diele F, Marangi C, Martiradonna A, Montomoli F, Pepper N, Tamborrino C, Tarantino C.   +9 more
europepmc   +1 more source

NTRU-MCF: A Chaos-Enhanced Multidimensional Lattice Signature Scheme for Post-Quantum Cryptography. [PDF]

Sensors (Basel)
Wang R, Yuan B, Yuan M, Li Y.
europepmc   +1 more source

Uncertainty Quantification for <i>In Silico</i> Chemistry. [PDF]

Chem Rev
Frömbgen T, Surzhikova E, Dölz J, Proppe J, Kirchner B, Jacob CR.   +5 more
europepmc   +1 more source