Software

Home, Research, Teaching, Software

Online profiles @ ArXiv, GitHub, Google Scholar, ORCID.

Contributed repositories

[16] c-permutation-avoiding-convolution (C) [GitHub]
     Permutation-avoiding convolution kernels.

[15] cpp-green (C++) [GitHub]
     Dynamic programming algorithms for high-order derivatives of anisotropic Green’s functions.

[14] cpp-hashin-shtrikman (C++, Python) [GitHub]
     Piecewise polynomial approximation scheme based on the Hashin­-Shtrikman variational principle of polycrystals.

[13] cpp-minkowski (C++) [GitHub]
     Semi-analytical boundary solve of non-convex tessellation and computation of high-order Minkowski tensors.

[12] cpp-n-pcf (C++) [GitHub]
     Algorithms for the computation of n-points correlation functions.

[11] fortran-get-vol-omp (Fortran) [GitHub]
     Multithreaded subroutines to solve non-convex tessellations and associated statistics.

[10] Ginkgo (C++) [GitHub]
     Randomized Gram-Schmidt orthogonalization for GMRES.

[09] julia-global-spd-spai (Julia) [GitHub]
     Global iterative methods for the computation of sparse approximate inverses of symmetric positive-definite matrices.

[08] julia-gp-circulant-embedding (Julia) [GitHub]
     Circulant embedding method to simulate Gaussian processes.

[07] julia-iterative-low-rank (Julia) [GitHub]
     Randomized short-recurrence iterative methods for approximate low-rank matrix factorizations.

[06] julia-jacobi-davidson (Julia) [GitHub]
     (Jacobi-)Davidson methods with different orthogonalization procedures and their randomized variants.

[05] julia-lobpcg (Julia) [GitHub]
     Stable implementations of LOBPCG.

[04] julia-phd-krylov-spdes (Julia) [GitHub]
     Preconditioning strategies for stochastic elliptic PDEs.

[03] matrix-market (.mtx) [GitHub]
     Sparse matrices made available in Matrix Market format.

[02] py-deflation (Python) [GitHub]
     Deflation strategies of conjugate gradient algorithms.

[01] py-lobpcg (Python) [GitHub]
     Stable implementations of LOBPCG.

Main Contributor