Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/148412 
Title: 

Introduction to Dynamic Optimization: The Calculus of Variations

The document was removed on behalf of the author(s)/ the editor(s).

Year of Publication: 
2010
Citation: 
[Title:] Tamara Todorova, Problems Book to Accompany Mathematics for Economists [ISBN:] 978-0-470-59181-9 [Publisher:] Wiley [Place:] Hoboken, New Jersey [Year:] 2010 [Pages:] 702-754
Publisher: 
Wiley, Hoboken
Abstract: 
Static models aim to find values of the independent variables that maximize particular functions. Such optimization problems seek the value or values of an argument that optimize a given function at a particular point. Dynamic models aim to find not just the maximum value of some function, but rather, the actual function that provides a time path for the values of the economic variables so that some value function is maximized or minimized over a given interval of time.
Subjects: 
Dynamic optimization
Calculus of variations
Additional Information: 
In highly mathematical courses, it is a truism that students learn by doing, not by reading. Tamara Todorova’s Problems Book to Accompany Mathematics for Economists provides a life line for students seeking an extra leg up in challenging courses. Beginning with college-level mathematics, this comprehensive workbook presents an extensive number of economics focused problem sets, with clear and detailed solutions for each one. By keeping the focus on economic applications, Todorova provides economics students with the mathematical tools they need for academic success. For years, Professor Todorova has taught microeconomic courses to economists and non-economists, introduced students to new institutional economics as a modern trend in economics, and taught quantitative methods and their application to economic theory, marketing, and advertising.
Document Type: 
Book Part
Document Version: 
Published Version

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The document was removed on behalf of the author(s)/ the editor(s) on: March 24, 2023


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