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stat.AP2022
Geometrically adapted Langevin dynamics for Markov chain Monte Carlo simulations
Mariya Mamajiwala, Debasish Roy, Serge Guillas
Markov Chain Monte Carlo (MCMC) is one of the most powerful methods to sample from a given probability distribution, of which the Metropolis Adjusted Langevin Algorithm (MALA) is a…
stat.AP2019★ 1 cited
Computationally efficient surrogate-based optimization of coastal storm waves heights and run-ups
Theodoros Mathikolonis, Volker Roeber, Serge Guillas
Storm surges cause coastal inundations due to the setup of the water surface resulting from atmospheric pressure, surface winds and breaking waves. The latter is particularly diffi…