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  <titleInfo>
    <title>Mathematics for business analysis</title>
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  <name type="personal">
    <namePart>Turner, Paul</namePart>
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  <name type="personal">
    <namePart>Wood, Justine</namePart>
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    <dateIssued encoding="marc">2023</dateIssued>
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    <extent>1 onloine resource (377 pages)</extent>
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  <abstract>"In developing this book, we have drawn on our experiences of teaching mathematics to economics and business students over a long period of time. This is, more often than not, a challenging task because mathematics can be viewed as unpopular with students, who may regard it as a chore rather than a pleasure. Nevertheless, we believe that teaching mathematics as part of economics and business programs can be of immense value to the students concerned and can even be enjoyable for the staff involved. What is needed is a clear program of study and a willingness to explain the subject from basics rather than as just a set of unrelated techniques. This is what we attempt to do in this book"--</abstract>
  <tableOfContents>Chapter 1: Sets, Numbers, and Algebra -- Chapter 2: Lines, Curves, Functions, and Equations -- Chapter 3: Simultaneous Equations -- Chapter 4: Derivatives and Differentiation -- Chapter 5: Optimization -- Chapter 6: Optimization of Multivariable Functions -- Chapter 7: Integration -- Chapter 8: Matrices -- Chapter 9: First-Order Differential Equations -- Chapter 10: Second-Order Differential Equations -- Chapter 11: Difference Equations -- Appendix A: Coding in Python -- Appendix B: Odd Numbered Exercises Answers -- Index.</tableOfContents>
  <note type="statement of responsibility">Paul Turner, Justine Wood.</note>
  <note>Includes bibliographical references and index. </note>
  <subject authority="lcsh">
    <topic>Business mathematics</topic>
  </subject>
  <classification authority="lcc">HF5691 .T87 2023</classification>
  <identifier type="isbn">9781683929376</identifier>
  <identifier type="isbn">9781683929369</identifier>
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  <identifier type="lccn">2023944273</identifier>
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