BIBLIOTECA MANUEL BELGRANO - Facultad de Ciencias Económicas - UNC

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Numerical optimization of dynamic systems / edited by L. C. W. Dixon and G. P. Szego.

Colaborador(es): Tipo de material: TextoTextoDetalles de publicación: Amsterdam : North-Holland, 1980Descripción: 410 pISBN:
  • 0444854940
Tema(s): Clasificación CDD:
  • 519.7
Resumen: Mathematical Optimization and Economic Theory provides a self-contained introduction to and survey of mathematical programming and control techniques and their applications to static and dynamic problems in economics, respectively. It is distinctive in showing the unity of the various approaches to solving problems of constrained optimization that all stem back directly or indirectly to the method of Lagrange multipliers. In the 30 years since its initial publication, there have been many more applications of these mathematical techniques in economics, as well as some advances in the mathematics of programming and control. Nevertheless, the basic techniques remain the same today as when the book was originally published. Thus, it continues to be useful not only to its original audience of advanced undergraduate and graduate students in economics, but also to mathematicians and other researchers who are interested in learning about the applications of the mathematics of optimization to economics.
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Tipo de ítem Biblioteca actual Signatura topográfica Estado Fecha de vencimiento Código de barras
Libro Libro Biblioteca Manuel Belgrano 519.7 N 33905 (Navegar estantería(Abre debajo)) Disponible 33905

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Mathematical Optimization and Economic Theory provides a self-contained introduction to and survey of mathematical programming and control techniques and their applications to static and dynamic problems in economics, respectively. It is distinctive in showing the unity of the various approaches to solving problems of constrained optimization that all stem back directly or indirectly to the method of Lagrange multipliers. In the 30 years since its initial publication, there have been many more applications of these mathematical techniques in economics, as well as some advances in the mathematics of programming and control. Nevertheless, the basic techniques remain the same today as when the book was originally published. Thus, it continues to be useful not only to its original audience of advanced undergraduate and graduate students in economics, but also to mathematicians and other researchers who are interested in learning about the applications of the mathematics of optimization to economics.

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