Mathematics for Economics and Finance
Methods and Modelling
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Mathematics for Economics and Finance by Martin Anthony
Book DescriptionMathematics has become indispensable in the modelling of economics, finance, business and management. Without expecting any particular background of the reader, this book covers the following mathematical topics, with frequent reference to applications in economics and finance: functions, graphs and equations, recurrences (difference equations), differentiation, exponentials and logarithms, optimisation, partial differentiation, optimisation in several variables, vectors and matrices, linear equations, Lagrange multipliers, integration, first-order and second-order differential equations. The stress is on the relation of maths to economics, and this is illustrated with copious examples and exercises to foster depth of understanding. Each chapter has three parts: the main text, a section of further worked examples and a summary of the chapter together with a selection of problems for the reader to attempt. For students of economics, mathematics, or both, this book provides an introduction to mathematical methods in economics and finance that will be welcomed for its clarity and breadth.
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Book DetailsISBN: 9780521559133
(228mm x 152mm x 23mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 13-Jul-1996
Country of Publication: United Kingdom
Books By Author Martin Anthony
Linear Algebra: Concepts and Methods, Paperback (May 2012)
This thorough, yet concise, treatment of all the key topics also gives students a sound understanding of the underlying theory.
Neural Network Learning, Paperback (August 2009)
This book describes theoretical advances in the study of artificial neural networks.
Discrete Mathematics of Neural Networks, Hardback (January 1987)» View all books by Martin Anthony
Considers key aspects of the burgeoning field of artificial neural network theory.
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