MADNESS: a multiresolution, adaptive numerical environment for scientific simulation

  • MADNESS (multiresolution adaptive numerical environment for scientific simulation) is a high-level software environment for solving integral and differential equations in many dimensions that uses adaptive and fast harmonic analysis methods with guaranteed precision that are based on multiresolution analysis and separated representations. Underpinning the numerical capabilities is a powerful petascale parallel programming environment that aims to increase both programmer productivity and code scalability. This paper describes the features and capabilities of MADNESS and briefly discusses some current applications in chemistry and several areas of physics.

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Metadaten
Author:Robert J. Harrison, Gregory Beylkin, Florian A. Bischoff, Justus A. Calvin, George I. Fann, Jacob Fosso-Tande, Diego Galindo, Jeff R. Hammond, Rebecca Hartman-Baker, Judith C. Hill, Jun Jia, Jakob S. KottmannORCiDGND, M-J. Yvonne Ou, Junchen Pei, Laura E. Ratcliff, Matthew G. Reuter, Adam C. Richie-Halford, Nichols A. Romero, Hideo Sekino, William A. Shelton, Bryan E. Sundahl, W. Scott Thornton, Edward F. Valeev, Álvaro Vázquez-Mayagoitia, Nicholas Vence, Takeshi Yanai, Yukina Yokoi
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/102005
ISSN:1064-8275OPAC
ISSN:1095-7197OPAC
Parent Title (English):SIAM Journal on Scientific Computing
Publisher:Society for Industrial & Applied Mathematics (SIAM)
Place of publication:Philadelphia, PA
Type:Article
Language:English
Year of first Publication:2016
Release Date:2023/02/14
Tag:Applied Mathematics; Computational Mathematics
Volume:38
Issue:5
First Page:123
Last Page:142
DOI:https://doi.org/10.1137/15m1026171
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Quantenalgorithmik