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Basic Mathematics for Economists [Minkštas viršelis]

  • Formatas: Paperback / softback, 496 pages, aukštis x plotis: 234x156 mm, weight: 794 g
  • Išleidimo metai: 07-Jan-1993
  • Leidėjas: Routledge
  • ISBN-10: 0415084253
  • ISBN-13: 9780415084253
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 496 pages, aukštis x plotis: 234x156 mm, weight: 794 g
  • Išleidimo metai: 07-Jan-1993
  • Leidėjas: Routledge
  • ISBN-10: 0415084253
  • ISBN-13: 9780415084253
Kitos knygos pagal šią temą:
While economists are not always expected to be mathematical geniuses, it is generally accepted that some basic mathematical knowledge is necessary. Basic Mathematics for Economists recognises that not everyone is confortable with figures and aims to develop mathematical knowledge and build confidence of mature students and those without A-level maths, to the level required for a general economics degree course. The first chapters provide a gentle introduction, concentrating on revision of arithmetical and algebraic methods that students have probably learned but forgotten. Here, as throughout the book, the information is set out, where possible, in the context of applications in economics. As the book progresses, so the pace increases, as new information is gradually introduced. However, the techniques are kept as simple and relevant to economic use as possible, thus familiarising students with practical usage as quickly as possible, while avoiding abstract techniques. Mike Rosser concentrates on those techniques which are likely to be useful to all students and avoids complex proofs and special cases. Particular attention is given to the increasingly important field of business economics. In recognition of the increased accessibility to computers the author also includes a section on the use of spreadsheets, and in particular, Lotus 1-2-3, in solving very difficult or time consuming problems.
1. Introduction
2. Arithmetic
3. Introduction to Algebra
4. Graphs and
Functions
5. Linear Equations
6. Quadratic Equations
7. Series, Time and
Investment
8. Introduction to Calculus
9. Unconstrained Optimisation
10.
Partial Differentiation
11. Constrained Optimisation
12. Further Topics in
Calculus
13. Dynamics and Difference Equations
14. Exponential Functions and
Continuous Growth.