Foundations of Mathematical And Computational Economics / Edition 1

Foundations of Mathematical And Computational Economics / Edition 1

by Kamran M. Dadkhah
ISBN-10:
0324235836
ISBN-13:
2900324235837
Pub. Date:
01/09/2006
Publisher:
Cengage Learning

Hardcover

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Overview

Foundations of Mathematical And Computational Economics / Edition 1

Economics doesn't have to be a mystery anymore. FOUNDATIONS OF MATHEMATICAL AND COMPUTATION ECONOMICS shows you how mathematics impacts economics and econometrics using easy-to-understand language and plenty of examples. Plus, it goes in-depth into computation and computational economics so you'll know how to handle those situations in your first economics job. Get ready for both the test and the workforce with this economics textbook.

Product Details

ISBN-13: 2900324235837
Publisher: Cengage Learning
Publication date: 01/09/2006
Edition description: 1ST
Pages: 608
Product dimensions: 6.00(w) x 1.25(h) x 9.00(d)

About the Author

Kamran M. Dadkhah is Associate Professor in the Department of Economics at Northeastern University, Boston, where his areas of interest are mathematical economics, econometrics, international economics, and economics of oil. He holds an MA and Ph.D. degrees in Economics from Indiana University, and an MS degree in Mathematics from Northeastern University. He has published in The Review of Economics and Statistics, Journal of Political Economy, International Journal of Middle East Studies, Applied Economics, Middle Eastern Studies, European Journal of Operational Research, Decision Sciences, Empirical Economics, and Mathematical and Computer Modeling.

Table of Contents

1. Mathematics, Computation, and Economics. 2. Basic Mathematical Concepts and Methods. 3. Basic Concepts and Methods of Probability Theory and Computation. 4. Vectors and Matrices. 5. Advanced Topics in Matrix Algebra. 6. Differentiation: Functions of One Variable. 7. Differentiation: Functions of Several Variables. 8. The Taylor Series and Its Applications. 9. Static Optimization. 10. Constrained Optimization. 11. Integration. 12. Dynamic Optimization. 13. Differential Equations. 14. Difference Equations. 15. Dynamic Systems.

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