Octavo, xvii, 662 pages. In Very Good condition. Spine is white with white print on brown banner. Boards in glossy illustrated paper. Illustrated: b&w graphs, diagrams. NOTE: Shelved in Netdesk Column G. 1379478. FP New Rockville Stock.

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Detalles bibliogr�ficos

T�tulo

HANDBOOK OF COMPUTATIONAL ECONOMICS. VOLUME THREE (HANDBOOKS IN ECONOMICS)

Editor

Elsevier, Amsterdam

Fecha de publicaci�n

2014

Idioma

Ingl�s

ISBN 10

0444529802

ISBN 13

9780444529800

Encuadernaci�n

Hardcover

Cat�logos de vendedores

Social Sciences

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Sinopsis

Handbook of Computational Economics summarizes recent advances in economic thought, revealing some of the potential offered by modern computational methods. With computational power increasing in hardware and algorithms, many economists are closing the gap between economic practice and the frontiers of computational mathematics. In their efforts to accelerate the incorporation of computational power into mainstream research, contributors to this volume update the improvements in algorithms that have sharpened econometric tools, solution methods for dynamic optimization and equilibrium models, and applications to public finance, macroeconomics, and auctions. They also cover the switch to massive parallelism in the creation of more powerful computers, with advances in the development of high-power and high-throughput computing. Much more can be done to expand the value of computational modeling in economics. In conjunction with volume one (1996) and volume two (2006), this volume offers a remarkable picture of the recent development of economics as a science as well as an exciting preview of its future potential.

De la contraportada

These summaries of recent advances in economic thought reveal some of the vast potential offered by modern computational methods. With computational power increasing in both hardware and algorithms, many economists are closing the gap between economic practice and the frontiers of computational mathematics. In their efforts to accelerate the incorporation of computational power into mainstream research, contributors update the improvements in algorithms that have sharpened econometric tools, solution methods for dynamic optimization and equilibrium models, and applications to public finance, macroeconomics, and auctions. They also cover the switch to massive parallelism in the creation of more powerful computers, with advances in the development of high power and high throughput computing. Much more can be done to expand the value of computational modeling in economics. In conjunction with Volume 1 (1996) and Volume 2 (2006), this volume offers a remarkable picture of the recent development of economics as a science as well as an exciting preview of its potential achievements in the future.

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