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Optimal control theory for applications in Magnetic Resonance Imaging

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Bibliographic Details
Published in:Pacific Journal of Mathematics for Industry
Format: Online Article RSS Article
Published: 2017
Subjects:
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container_title Pacific Journal of Mathematics for Industry
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:21914
institution FRELIP
journal_source_facet Pacific Journal of Mathematics for Industry
publishDate 2017
publishDateSort 2017
record_format rss_article
spellingShingle Optimal control theory for applications in Magnetic Resonance Imaging
Applied Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Applied Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
Applied Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Applied Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
title Optimal control theory for applications in Magnetic Resonance Imaging
title_auth Optimal control theory for applications in Magnetic Resonance Imaging
title_full Optimal control theory for applications in Magnetic Resonance Imaging
title_fullStr Optimal control theory for applications in Magnetic Resonance Imaging
title_full_unstemmed Optimal control theory for applications in Magnetic Resonance Imaging
title_short Optimal control theory for applications in Magnetic Resonance Imaging
title_sort optimal control theory for applications in magnetic resonance imaging
topic Applied Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
url https://link.springer.com/article/10.1186/s40736-017-0034-3