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Computational Economics and Finance: Modeling and Analysis with Mathematica

Hal R. Varian
Organization: University of California at Berkeley
Department: Dean of the School of Information Management and Systems
URL: http://www.sims.berkeley.edu/~hal
Book information

Publisher: TELOS/Springer-Verlag (New York, NY)
Copyright year: 1996
ISBN: 0387945180
Medium: Hardcover
Includes: Floppy disk
Pages: 468
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Linear Programming with Mathematica: The Simplex Algorithm | Linear Programming with Mathematica: Sensitivity Analysis | Optimization with Mathematica | Optimizing with Piecewise Smooth Functions | Data Screening and Data Development Analysis | Efficiency in Production and Consumption | Cost Allocation | Simulating the Effects of Mergers among Noncooperative Oligopolists | Auctions | Yield Management | Implementing Numerical Option Pricing Models | YieldCurve | Log Spectral Analysis: Variance Components of Asset Prices | Data Analysis Using Mathematica | Doing Monte Carlo Studies with Mathematica | Random[Title]: Manipulating Probability Density Functions

This collection of articles is edited by Hal Varian, Dean of the School of Information Management and Systems, University of California, Berkeley. It provides a high-quality and practical selection of contributed articles that impart the expertise of an international contingent of Mathematica users from the economic, financial, investments, quantitative business, and operations research communities. This work breaks new ground and builds upon an earlier, highly successful collection of contributed articles, also edited by Hal Varian, Economic and Financial Modeling with Mathematica (TELOS/Springer-Verlag, 1993). 3.5" DOS diskette included.

*Applied Mathematics > Optimization
*Business and Economics
*Mathematics > Probability and Statistics

econometric models, computer progress, finance, economics, linear programming, data analysis, auctions, statistics

Related items

*Economic and Financial Modeling with Mathematica   [in Books]

compecon.tar.gz (294 KB) - Archive file

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