Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Kyle_A._Gallivan>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Pierre-Antoine_Absil>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Wen_Huang_0001>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Xinru_Yuan>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1002%2Fnla.2321>
foaf:homepage	<https://doi.org/10.1002/nla.2321>
dc:identifier	DBLP journals/nla/YuanHAG20 (xsd:string)
dc:identifier	DOI doi.org%2F10.1002%2Fnla.2321 (xsd:string)
dcterms:issued	2020 (xsd:gYear)
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rdfs:label	Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method. (xsd:string)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Wen_Huang_0001>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Xinru_Yuan>
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dc:title	Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method. (xsd:string)
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