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  <titleInfo>
    <title>Analysis and stochastics of growth processes and interface models</title>
  </titleInfo>
  <name type="personal">
    <namePart>M�orters, Peter.</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">enk</placeTerm>
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    <place>
      <placeTerm type="text">Oxford</placeTerm>
    </place>
    <publisher>Oxford University Press</publisher>
    <dateIssued>2008</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <form authority="gmd">electronic resource</form>
    <extent>1 online resource (x, 336 p.) : ill.</extent>
  </physicalDescription>
  <abstract>This is a collection of topical survey articles by researchers in the fields of applied analysis and probability theory working on the mathematical description of growth phenomena. Particular emphasis is given to the interplay of the usually separate fields of applied analysis and probability theory.</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">edited by Peter M�orters ... [et al.].</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Growth</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Stochastic analysis</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Numerical analysis</topic>
  </subject>
  <classification authority="lcc">QA273.6</classification>
  <classification authority="ddc" edition="22">519.23</classification>
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  <identifier type="isbn">9780191716911 (ebook) :</identifier>
  <identifier type="uri">http://dx.doi.org/10.1093/acprof:oso/9780199239252.001.0001</identifier>
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    <url displayLabel="Oxford scholarship online">http://dx.doi.org/10.1093/acprof:oso/9780199239252.001.0001</url>
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