A First Course in Optimization Theory

Business & Finance, Economics, Econometrics, Theory of Economics
Cover of the book A First Course in Optimization Theory by Rangarajan K. Sundaram, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Rangarajan K. Sundaram ISBN: 9781139635974
Publisher: Cambridge University Press Publication: June 13, 1996
Imprint: Cambridge University Press Language: English
Author: Rangarajan K. Sundaram
ISBN: 9781139635974
Publisher: Cambridge University Press
Publication: June 13, 1996
Imprint: Cambridge University Press
Language: English

This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solutions may be identified. The second part explores how solutions to optimization problems change with changes in the underlying parameters, and the last part provides an extensive description of the fundamental principles of finite- and infinite-horizon dynamic programming. Each chapter contains a number of detailed examples explaining both the theory and its applications for first-year master's and graduate students. 'Cookbook' procedures are accompanied by a discussion of when such methods are guaranteed to be successful, and, equally importantly, when they could fail. Each result in the main body of the text is also accompanied by a complete proof. A preliminary chapter and three appendices are designed to keep the book mathematically self-contained.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solutions may be identified. The second part explores how solutions to optimization problems change with changes in the underlying parameters, and the last part provides an extensive description of the fundamental principles of finite- and infinite-horizon dynamic programming. Each chapter contains a number of detailed examples explaining both the theory and its applications for first-year master's and graduate students. 'Cookbook' procedures are accompanied by a discussion of when such methods are guaranteed to be successful, and, equally importantly, when they could fail. Each result in the main body of the text is also accompanied by a complete proof. A preliminary chapter and three appendices are designed to keep the book mathematically self-contained.

More books from Cambridge University Press

Cover of the book The Cambridge Companion to French Music by Rangarajan K. Sundaram
Cover of the book Empire, Race and Global Justice by Rangarajan K. Sundaram
Cover of the book Contested Regime Collisions by Rangarajan K. Sundaram
Cover of the book Forgiveness and Retribution by Rangarajan K. Sundaram
Cover of the book Anarchy and Legal Order by Rangarajan K. Sundaram
Cover of the book The Management of Insects in Recreation and Tourism by Rangarajan K. Sundaram
Cover of the book The Philosophical Writings of Descartes: Volume 1 by Rangarajan K. Sundaram
Cover of the book Financial Systems and Economic Growth by Rangarajan K. Sundaram
Cover of the book Scaling by Rangarajan K. Sundaram
Cover of the book The Politico-Legal Dynamics of Judicial Review by Rangarajan K. Sundaram
Cover of the book No Place to Hide Level 3 Lower-intermediate by Rangarajan K. Sundaram
Cover of the book The Cambridge Handbook of the Neuroscience of Creativity by Rangarajan K. Sundaram
Cover of the book Hyperbolic Manifolds by Rangarajan K. Sundaram
Cover of the book Adult Personality Growth in Psychotherapy by Rangarajan K. Sundaram
Cover of the book The Cambridge Companion to Modern Chinese Culture by Rangarajan K. Sundaram
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy