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dc.contributor.authorKnese, Greg
dc.contributor.editorJahns, Sophia
dc.contributor.editorCederbaum, Carla
dc.date.accessioned2014-09-23T11:44:32Z
dc.date.available2014-09-23T11:44:32Z
dc.date.issued2014
dc.identifier.urihttp://publications.mfo.de/handle/mfo/435
dc.description.abstractThis is a snapshot about operator theory and one of its fundamental tools: the singular value decomposition (SVD). The SVD breaks up linear transformations into simpler mappings, thus unveiling their geometric properties. This tool has become important in many areas of applied mathematics for its ability to organize information. We discuss the SVD in the concrete situation of linear transformations of the plane (such as rotations, reflections, etc.).en_US
dc.language.isoen_USen_US
dc.publisherMathematisches Forschungsinstitut Oberwolfachen_US
dc.relation.ispartofseriesSnapshots of modern mathematics from Oberwolfach; 9/2014
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Unported*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/*
dc.titleOperator theory and the singular value decompositionen_US
dc.typeArticleen_US
dc.identifier.doi10.14760/SNAP-2014-009-EN
local.series.idSNAP-2014-009-EN
local.subject.snapshotAnalysis


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Attribution-NonCommercial-ShareAlike 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 Unported