[PDF][PDF] Numerical accounting in the shuffle model of differential privacy

A Koskela, M Heikkilä… - … on machine learning …, 2023 - researchportal.helsinki.fi
Shuffle model of differential privacy is a novel distributed privacy model based on a
combination of local privacy mechanisms and a secure shuffler. It has been shown that the …

Strang Splitting in Combination with Rank-1 and Rank-r Lattices for the Time-Dependent Schrödinger Equation

Y Suzuki, G Suryanarayana, D Nuyens - SIAM Journal on Scientific Computing, 2019 - SIAM
We approximate the solution for the time dependent Schrödinger equation in two steps.
We first use a pseudospectral collocation method that uses samples of the functions on rank …

Construction of quasi-Monte Carlo rules for multivariate integration in spaces of permutation-invariant functions

D Nuyens, G Suryanarayana, M Weimar - Constructive Approximation, 2017 - Springer
We study multivariate integration of functions that are invariant under the permutation (of a
subset) of their arguments. Recently, in Nuyens et al.(Adv Comput Math 42 (1): 55–84 …

Multilevel sampling with Monte Carlo and Quasi-Monte Carlo methods for uncertainty quantification in structural engineering

P Blondeel, P Robbe, G Lombaert, S Vandewalle - 2019 - s-space.snu.ac.kr
Practical structural engineering applications tend to exhibit a certain degree of uncertainty in
their material parameters, loading forces and so forth. As such, the accurate quantification of …

Cubature formulas for multisymmetric functions and applications to stochastic partial differential equations

C Heitzinger, G Pammer, S Rigger - SIAM/ASA Journal on Uncertainty …, 2018 - SIAM
The numerical solution of stochastic partial differential equations and numerical Bayesian
estimation is computationally demanding. If the coefficients in a stochastic partial differential …

[PDF][PDF] Applications and analysis of lattice points: time-step** and integration over Rd

Y Suzuki - 2020 - lirias.kuleuven.be
Applications and analysis of lattice points: time-step** and integration over Rd Page 1
ARENBERG DOCTORAL SCHOOL Faculty of Engineering Science Applications and analysis …

Efficient numerical integration of permutation-invariant functions

M Weimar - Numerical integration, integral equations and … - math.unipd.it
Motivated by problems from computational quantum physics we study the efficient numerical
integration of multivariate functions which are invariant under permutations (of subsets) of …

[PDF][PDF] High-dimensional Integration: cubature formulas for multisymmetric functions

S Rigger - 2017 - heitzinger.info
This thesis is focused on the problem of numerical multivariate integration in high
dimensions. In particular, we introduce the idea of interpolatory cubature formulas for …

[PDF][PDF] Integration of permutation-invariant functions

M Weimar - 2014 - Citeseer
Integration of permutation-invariant functions Page 1 Integration of permutationinvariant
functions M. Weimar Problem Korobov-type spaces Subspaces Reproducing kernels …

[PDF][PDF] p-refined Multilevel Quasi-Monte Carlo for Galerkin Finite Element Methods with applications in Geotechnical Engineering

P Blondeel, P Robbe, G Lombaert… - … Conference in Monte …, 2020 - lirias.kuleuven.be
p-refined Multilevel Quasi-Monte Carlo for Galerkin Finite Element Methods with applications
in Geotechnical Engineering Page 1 p-refined Multilevel Quasi-Monte Carlo for Galerkin Finite …