Envío gratis a partir de 69,99 euros.

«Comprobar estado del pedido»

Entre a formar parte de una comunidad de amantes de los libros del mundo entero y acceda a un sinfín de ventajas. Crear una cuenta gratis

Envío gratuito con Zásilkovna para compras superiores a 59.99 €

Mensajería SEUR 4.99 € Mensajería GLS 7.99 € Mensajería Correos 5.49 € Mensajería DHL 5.49 € Punto SEUR 3.99 €

Contacto

Cómo comprar

Ayuda

Mi cuenta

▸ Vacío :-(

Envío gratis a partir de 69,99 euros.

Computational Solution of Large-Scale Macroeconometric Models

Name: Computational Solution of Large-Scale Macroeconometric Models
Brand: Springer-Verlag New York Inc.
SKU: 01423214
Price: 112.79 EUR
Availability: InStock
Author: Giorgio Pauletto
ISBN: 9781441947789

Giorgio Pauletto

Idioma

Inglés

Libro Tapa blanda

Código Libristo: 01423214

Editores Springer-Verlag New York Inc., diciembre 2010

The purpose of this book is to present the available methodologies for the solution of large-scale m... Descripción completa

Código Libristo: 01423214

276 b

112.79 €

Almacenamiento externo Envío en 5-8 días

Hasta 30 días para devoluciones

Clientes que también han comprado

Charles Darwin Wilhelm Bölsche

Tapa blanda

16.89 €

Fit fürs Gymnasium Hertha Beuschel-Menze

Juego

14.69 €

Grenzen setzen, ohne sich zu verlieren Seifert Clara Seifert

MP3

6.49 €

The purpose of this book is to present the available methodologies for the solution of large-scale macroeconometric models. This work reviews classical solution methods and introduces more recent techniques, such as parallel computing and nonstationary iterative algorithms. The development of new and more efficient computational techniques has significantly influenced research and practice in macroeconometric modeling. This volume supplies practitioners and researchers with both a general presentation of numerical solution methods and specific discussions about particular problems encountered in the field. The work is organized into five chapters. Solution techniques for linear and nonlinear systems are reviewed and a graph-theoretical approach to perform this analysis is introduced. A model simulation on parallel computers of large-scale macroeconometric models is also described. Finally, a theoretical framework of rational expectation models is presented.