
Mathematics for Economics and Finance
methods and modelling
$403.96
- Hardcover
436 pages
- Release Date
30 May 2024
Summary
Mastering Math for Economics & Finance
Accessible, concise, and interactive, this book introduces the mathematical methods that are indispensable in economics and finance. Fully updated to be as student friendly as possible, this edition contains extensive problems, worked examples and exercises (with full solutions at the end of the book). Two brand new chapters cover coupled systems of recurrence/differential equations, and matrix diagonalisation. All topics are motivated by p…
Book Details
ISBN-13: | 9781108472395 |
---|---|
ISBN-10: | 1108472397 |
Author: | Martin Anthony, Norman Biggs |
Publisher: | Cambridge University Press |
Imprint: | Cambridge University Press |
Format: | Hardcover |
Number of Pages: | 436 |
Edition: | 2nd |
Release Date: | 30 May 2024 |
Weight: | 960g |
Dimensions: | 251mm x 175mm x 23mm |
What They're Saying
Critics Review
Review of the first edition: ‘Throughout, the stress is firmly on how the mathematics relates to economics, and this is illustrated with copious examples and exercises that will foster depth of understanding.’ L’Enseignement Mathématique
About The Author
Martin Anthony
Martin Anthony is Professor of Mathematics at the London School of Economics and Political Science, where he has been Head of Department and Vice-Chair of the Academic Board. He is the author of five books. Martin has been heavily involved in LSE’s distance learning initiatives through the University of London International Programme and is a recipient of multiple LSE Teaching Excellence Awards.
Norman Biggs is Professor Emeritus in the Department of Mathematics at the London School of Economics and Political Science, where he was Head of Department and Vice-Chair of the Appointments Committee. He is the author of thirteen books, including ‘Discrete Mathematics’ (Second Edition, 2002). He previously served as General Secretary of the London Mathematical Society.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.