Description

Book Synopsis

Essential Mathematics for Economics covers mathematical topics that are essential for economic analysis in a concise but rigorous fashion. The book covers selected topics such as linear algebra, real analysis, convex analysis, constrained optimization, dynamic programming, and numerical analysis in a single volume. The book is entirely self-contained, and almost all propositions are proved.

Features

  • Replete with exercises and illuminating examples
  • Suitable as a primary text for an advanced undergraduate or postgraduate course on mathematics for economics
  • Basic linear algebra and real analysis are the only prerequisites.
  • Supplementary materials such as Matlab codes, teaching slides etc. are posted on the book website https://github.com/alexisakira/EME.

Essential Mathematics for Economics

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    £49.99

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    Order before 4pm today for delivery by Thu 16 Jul 2026.

    A Paperback by Alexis Akira Toda

    2 in stock

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      Publisher: CRC Press
      Publication Date: Publication Date: 10/8/2024
      ISBN13: 9781032698946, 978-1032698946
      ISBN10: 1032698942
      Also in:
      Business, Finance & Law Econometrics and economic statistics

      Description

      Book Synopsis

      Essential Mathematics for Economics covers mathematical topics that are essential for economic analysis in a concise but rigorous fashion. The book covers selected topics such as linear algebra, real analysis, convex analysis, constrained optimization, dynamic programming, and numerical analysis in a single volume. The book is entirely self-contained, and almost all propositions are proved.

      Features

      • Replete with exercises and illuminating examples
      • Suitable as a primary text for an advanced undergraduate or postgraduate course on mathematics for economics
      • Basic linear algebra and real analysis are the only prerequisites.
      • Supplementary materials such as Matlab codes, teaching slides etc. are posted on the book website https://github.com/alexisakira/EME.

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