works on

From the 1 of 5.5k papers with an AI index.

output
19932026
most citedQuantum ESPRESSO: a modular and open-source software project for quantum simulations of materials

29.3k citations

Showing 2016 · math.NAShow all

22 papers · 2 filters

math.NA2016★ 3 cited

Existence of guided waves due to a lineic perturbation of a 3D periodic medium

Bérangère Delourme, Patrick Joly, Elizaveta Vasilevskaya

In this note, we exhibit a three dimensional structure that permits to guide waves. This structure is obtained by a geometrical perturbation of a 3D periodic domain that consists o…

math.NA2016★ 15 cited

Linearly Convergent Randomized Iterative Methods for Computing the Pseudoinverse

Robert M. Gower, Peter Richtárik

We develop the first stochastic incremental method for calculating the Moore-Penrose pseudoinverse of a real matrix. By leveraging three alternative characterizations of pseudoinve…

math.NA2016★ 71 cited

Approximate fast graph Fourier transforms via multi-layer sparse approximations

Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay

The Fast Fourier Transform (FFT) is an algorithm of paramount importance in signal processing as it allows to apply the Fourier transform in O(n log n) instead of O(n 2) arithmetic…

math.NA2016★ 49 cited

A hybridizable discontinuous Galerkin method for solving nonlocal optical response models

Liang Li, Stéphane Lanteri, N. Asger Mortensen +1

We propose Hybridizable Discontinuous Galerkin (HDG) methods for solving the frequency-domain Maxwell's equations coupled to the Nonlocal Hydrodynamic Drude (NHD) and Generalized N…

math.NA2016★ 118 cited

Efficient spectral computation of the stationary states of rotating Bose-Einstein condensates by the preconditioned nonlinear conjugate gradient method

Xavier Antoine, Antoine Levitt, Qinglin Tang

We propose a preconditioned nonlinear conjugate gradient method coupled with a spectral spatial dis-cretization scheme for computing the ground states (GS) of rotating Bose-Einstei…

math.NA2016★ 10 cited

An equilibrated fluxes approach to the certified descent algorithm for shape optimization using conforming finite element and discontinuous Galerkin discretizations

Matteo Giacomini

The certified descent algorithm (CDA) is a gradient-based method for shape optimization which certifies that the direction computed using the shape gradient is a genuine descent di…