null Skip to main content

✨ Buy more, save 5% Ends

Essential Mathematics for Economics

Essential Mathematics for Economics

Was: $62.93
Now: $59.05
New condition
(No reviews yet) Write a Review
Physical book delivery

Shipping calculated at checkout.

Estimated delivery
Adding to cart… The item has been added
Product Details
Author:
Alexis Akira Toda
Publisher:
Taylor & Francis Ltd
Publication Date:
Oct 08, 2024
Binding:
Paperback / softback
ISBN-13:
9781032698946
ISBN10:
1032698942

Overview

This book covers mathematical topics that are essential for economic analysis in a concise but rigorous fashion. The book covers selected topics such as linear algebra, real analysis, convex analysis, constrained optimization, dynamic programming, and numerical analysis in a single volume.

Essential Mathematics for Economics covers mathematical topics that are essential for economic analysis in a concise but rigorous fashion. The book covers selected topics such as linear algebra, real analysis, convex analysis, constrained optimization, dynamic programming, and numerical analysis in a single volume. The book is entirely self-contained, and almost all propositions are proved.

Features

  • Replete with exercises and illuminating examples
  • Suitable as a primary text for an advanced undergraduate or postgraduate course on mathematics for economics
  • Basic linear algebra and real analysis are the only prerequisites.
  • Supplementary materials such as Matlab codes, teaching slides etc. are posted on the book website https://github.com/alexisakira/EME.



  • | Author: Alexis Akira Toda
  • | Publisher: Taylor & Francis Ltd
  • | Publication Date: Oct 08, 2024
  • | Number of Pages:
  • | Language:
  • | Binding: Paperback / softback
  • | ISBN-13: 9781032698946
  • | ISBN-10: 1032698942

Reviews

0 Reviews

Write a Review

No reviews yet.

Share your experience and help another reader choose their next book.

Discover your next great book

Get new releases, reader favourites, and special offers delivered to your inbox.