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  <identifier identifierType="DOI">10.18453/rosdok_id00003125</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Zhou, Ming</creatorName>
      <givenName>Ming</givenName>
      <familyName>Zhou</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/1024105881</nameIdentifier>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">https://orcid.org/0000-0001-7096-1649</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>A priori convergence analysis for Krylov subspace eigensolvers</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2020</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">510 Mathematics</subject>
  </subjects>
  <dates>
    <date dateType="Created">2020</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">http://purl.uni-rostock.de/rosdok/id00003125</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-rosdok_id00003125-0</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">This thesis contributes to the convergence theory of Krylov subspace eigensolvers for discretized self-adjoint elliptic differential operators. A central topic refers to a priori convergence estimates with weak assumptions and concise bounds, which can reasonably predict the convergence rate, in particular for clustered eigenvalues. By avoiding the dependence on current approximate eigenvalues, such estimates significantly improve certain state-of-the-art estimates with regard to their sharpness and applicability.</description>
  </descriptions>
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