A valuable guide to the mathematical apparatus that underlies so much of modern economics. The approach to mathematics is rigorous and the mathematical techniques are always presented in the context of the economics problem they are used to solve. Students can gain insight into, and familiarity with, the mathematical models and methods involved in the transition from 'phenomenon' to quantitative statement.
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Adam Ostaszewski is currently Senior Lecturer in Mathematics at the London School of Economics. He teaches matematical methods appropriate to economic theory (including game thoery and control theory) and special topic courses to graduates and undergraduates. His main research interets include set-theoretic topology and theoretical economics, concentrating on mathematical problems ansd spanning a wide field of applications.
Mathematics in Economics is a valuable guide to the mathematical apparatus that underlies so much of modern economics. The approach to mathematics is rigorous and the mathematical techniques are always presented in the context of the economics problem they are used to solve. Students can therefore gain insight into, and familiarity with, the mathematical models and methods involved in the transition from "phenomenon" to quantitative statement.
Topics covered include:
Mathematics in Economics is a valuable guide to the mathematical apparatus that underlies so much of modern economics. The approach to mathematics is rigorous and the mathematical techniques are always presented in the context of the economics problem they are used to solve. Students can therefore gain insight into, and familiarity with, the mathematical models and methods involved in the transition from "phenomenon" to quantitative statement.
Topics covered include:
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Zustand: New. aeo This textbook is based on a course taught jointly by an economist and a mathematician making it a balanced and comprehensive introduction to mathematics in economics. aeo Mathematical techniques are always presented in the context of the economics problems they are used to solve. Num Pages: 544 pages, 0. BIC Classification: KCA; KCH; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 176 x 28. Weight in Grams: 878. . 1993. 1st Edition. Paperback. . . . . Bestandsnummer des Verkäufers V9780631180562
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