Nicolas Venkovic's repositories
julia-gp-circulant-embedding
Julia code to enable fast and low storage matrix-vector products with covariance matrices of stationary Gaussian processes.
fortran-get-vol-omp
OpenMP Fortran code to compute volumes and connectivity of 3D weighted Voronoi diagrams associated with marked point patterns.
julia-phd-krylov-spdes
Julia code and Python post-processing scripts for the PhD thesis of Venkovic (2023): Galerkin P1 finite element method, geometric domain decomposition, recycled conjugate gradient algorithms and preconditioning strategies for 2D random variable coefficient Poisson equations with parallel computation of Karhunen-Loève decompositions.
py-lanczos-restart-strategies
Enables testing and applications of restarting strategies for Lanczos tridiagonalizations used in solving sequences of eigenvalue problems.
cpp-anisotropic-green-function
Python wrapped C++ code for bottom-up dynamic computation of high order gradient components of 2D linear elastic Green functions in anistropic, orthotropic, R0-orthotropic, square symmetric and isotropic media.
cpp-fft-viscoplastic-homogenization
C++ matrix-free FFT-based Richardson solver for viscoplastic simulation on structured grids with heterogeneous and anisotropic coefficients.
cpp-hashin-shtrikman-polynomial
Python wrapped C++ funky discretization of PDE with high order Minkowski tensors for non-convex anisotropic polycrystals based on the Hashin-Shtrikman variational principle with piecewise polynomial trial fields.
cpp-semi-analytical-boundary-solve-minkowski-characterization
C++ code to compute boundary curves, overlays and high order Minkowski tensor components of all types in 2D anisotropic Voronoi diagrams.
julia-recycling-iterative-solvers
Julia code to benchmark recycling Krylov subspace strategies for sequences of linear systems with multiple right-hand sides and/or sparse SPD matrices.
ml-gp-reg
Iterative methods for Gaussian process regression
py-deflation-precond-strategies-sde
Enables testing and applications of deflation and preconditioning strategies to solve sequences of sampled finite element (FE) discretizations of stochastic differential equations (SDE).
py-fenics-spde
Python script for deterministic FEM solves of stochastic elliptic PDEs with random coefficients.