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  <titleInfo>
    <title>Concepts of mathematical modeling</title>
  </titleInfo>
  <name type="personal">
    <namePart>Walter J Meyer</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>MEYER (Walter J)</namePart>
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  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">xu|</placeTerm>
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    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Dover Publications, Inc</publisher>
    <dateIssued>2004</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">ng </languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>vii,440 PB 23x16cm.</extent>
  </physicalDescription>
  <abstract>Appropriate for undergraduate and graduate students, this text features independent sections that illustrate the most important principles of mathematical modeling, a variety of applications, and classic models. Students with a solid background in calculus and some knowledge of probability and matrix theory will find the material entirely accessible. The range of subjects includes topics from the physical, biological, and social sciences, as well as those of operations research. Discussions cover related mathematical tools and the historical eras from which the applications are drawn. Each section is preceded by an abstract and statement of prerequisites, and answers or hints are provided for selected exercises. 1984 edition.</abstract>
  <subject>
    <topic>Relation of Models to Data</topic>
  </subject>
  <subject>
    <topic>Optimization</topic>
  </subject>
  <subject>
    <topic>Macro and Micro Poplulation Models</topic>
  </subject>
  <classification authority="ddc" edition="23">511.8  MEYC</classification>
  <identifier type="isbn">9780486435152</identifier>
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