Essential Mathematics for Economic Analysis plus MyMathLab
Mixed media product
Antal sidor
Hammond, Peter / Strom, Arne / Carvajal, Andrs
Antal komponenter
Paperback (1)
Essential Mathematics for Economic Analysis plus MyMathLab

Essential Mathematics for Economic Analysis plus MyMathLab

Mixed media product Engelska, 2016-08-19
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This package includes a physical copy of Essential Mathematics for Economic Analysis, 5th edition by Knut Sydsaeter as well as access to the eText and MyEconLab. To access the eText and MyEconLab you need a course ID from your instructor. If you are only looking for the book buy ISBN 9781292074610.


An extensive introduction to all the mathematical tools an economist needs is provided in this worldwide bestseller.
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Recensioner i media

The scope of the book is to be applauded Dr Michael Reynolds, University of Bradford

Excellent book on calculus with several economic applications Mauro Bambi, University of York

Övrig information

Knut Sydsaeter was Emeritus Professor of Mathematics in the Economics Department at the University of Oslo, where he had taught mathematics for economists for over 45 years. Peter Hammond is currently a Professor of Economics at the University of Warwick, where he moved in 2007 after becoming an Emeritus Professor at Stanford University. He has taught mathematics for economists at both universities, as well as at the Universities of Oxford and Essex. Arne Strom is Associate Professor Emeritus at the University of Oslo and has extensive experience in teaching mathematics for economists in the Department of Economics there. Andres Carvajal is an Associate Professor in the Department of Economics at University of California, Davis.


01: Essentials of Logic and Set Theory 02: Algebra 03: Solving Equations 04: Functions of One Variable 05: Properties of Functions 06: Differentiation 07: Derivatives in Use 08: Single-Variable Optimization 09: Integration 10: Topics in Financial Mathematics 11: Functions of Many Variables 12: Tools for Comparative Statics 13: Multivariable Optimization 14: Constrained Optimization 15: Matrix and Vector Algebra 16 Determinants and Inverse Matrices 17: Linear Programming