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[PDF][PDF] SLEPc users manual
This document describes slePc, the Scalable Library for Eigenvalue Problem Computations,
a software package for the solution of large sparse eigenproblems on parallel computers. It …
a software package for the solution of large sparse eigenproblems on parallel computers. It …
A parallel, distributed memory implementation of the adaptive sampling configuration interaction method
The many-body simulation of quantum systems is an active field of research that involves
several different methods targeting various computing platforms. Many methods commonly …
several different methods targeting various computing platforms. Many methods commonly …
Predicting band structure of 3D mechanical metamaterials with complex geometry via XFEM
Band structure characterizes the most important property of mechanical metamaterials.
However, predicting the band structure of 3D metamaterials with complex microstructures …
However, predicting the band structure of 3D metamaterials with complex microstructures …
Estimating the inf-sup constant in reduced basis methods for time-harmonic Maxwell's equations
The reduced basis method (RBM) generates low-order models of parametrized partial
differential equations. These allow for the efficient evaluation of parametrized models in …
differential equations. These allow for the efficient evaluation of parametrized models in …
GPU-accelerated LOBPCG method with inexact null-space filtering for solving generalized eigenvalue problems in computational electromagnetics analysis with …
A Dziekonski, M Rewienski, P Sypek… - Communications in …, 2017 - cambridge.org
This paper presents a GPU-accelerated implementation of the Locally Optimal Block
Preconditioned Conjugate Gradient (LOBPCG) method with an inexact nullspace filtering …
Preconditioned Conjugate Gradient (LOBPCG) method with an inexact nullspace filtering …
Refined isogeometric analysis of quadratic eigenvalue problems
Certain applications that analyze dam** effects require the solution of quadratic
eigenvalue problems (QEPs). We use refined isogeometric analysis (rIGA) to solve quadratic …
eigenvalue problems (QEPs). We use refined isogeometric analysis (rIGA) to solve quadratic …
Improvements to SLEPc in releases 3.14–3.18
This short article describes the main new features added to SLEPc, the Scalable Library for
Eigenvalue Problem Computations, in the past two and a half years, corresponding to five …
Eigenvalue Problem Computations, in the past two and a half years, corresponding to five …
Libkrylov: A modular open‐source software library for extremely large on‐the‐fly matrix computations
We present the design and implementation of libkrylov, an open‐source library for solving
matrix‐free eigenvalue, linear, and shifted linear equations using Krylov subspace methods …
matrix‐free eigenvalue, linear, and shifted linear equations using Krylov subspace methods …
[HTML][HTML] A subspace method for large-scale trace ratio problems
A subspace method is introduced to solve large-scale trace ratio problems. This approach is
matrix-free, requiring only the action of the two matrices involved in the trace ratio. At each …
matrix-free, requiring only the action of the two matrices involved in the trace ratio. At each …
Refined isogeometric analysis for generalized Hermitian eigenproblems
We use refined isogeometric analysis (rIGA) to solve generalized Hermitian eigenproblems
(K u= λ M u). rIGA conserves the desirable properties of maximum-continuity isogeometric …
(K u= λ M u). rIGA conserves the desirable properties of maximum-continuity isogeometric …