Joakim Beck

ON THE OPTIMAL POLYNOMIAL APPROXIMATION OF STOCHASTIC PDES BY GALERKIN AND COLLOCATION METHODS

Joakim Beck, Raúl Tempone, Fabio Nobile et al. · Mathematical Models and Methods in Applied Sciences · 2012 · 148 citations · Full text

Numerical Analysis, Mathematical Programming, Low-rank Approximation +11

Fast Bayesian experimental design: Laplace-based importance sampling for the expected information gain

Joakim Beck, Ben Mansour Dia, Luis Espath et al. · Computer Methods in Applied Mechanics and Engineering · 2018 · 81 citations · Full text

Bayesian Statistic, Bayesian Statistics, Engineering +9

Multi-objective optimisation using surrogate models for the design of VPSA systems

Joakim Beck, Daniel Friedrich, Stefano Brandani et al. · Computers & Chemical Engineering · 2015 · 77 citations · Full text

Large-scale Global Optimization, Vpsa Systems, Engineering +11

Convergence of quasi-optimal Stochastic Galerkin methods for a class of PDES with random coefficients

Joakim Beck, Fabio Nobile, Lorenzo Tamellini et al. · Computers & Mathematics with Applications · 2013 · 72 citations · Full text

Numerical Analysis, Engineering, Pde-constrained Optimization +7

Temporal and spatial earthquake clustering revealed through comparison of millennial strain-rates from 36Cl cosmogenic exposure dating and decadal GPS strain-rate

Francesco Iezzi, Gerald Roberts, Joanna Faure Walker et al. · Scientific Reports · 2021 · 46 citations · Full text