Numerical optimization of dynamic systems / edited by L. C. W. Dixon and G. P. Szego.
Tipo de material:![Texto](/opac-tmpl/lib/famfamfam/BK.png)
- 0444854940
- 519.7
Tipo de ítem | Biblioteca actual | Signatura topográfica | Estado | Fecha de vencimiento | Código de barras | |
---|---|---|---|---|---|---|
![]() |
Biblioteca Manuel Belgrano | 519.7 N 33905 (Navegar estantería(Abre debajo)) | Disponible | 33905 |
Navegando Biblioteca Manuel Belgrano estanterías Cerrar el navegador de estanterías (Oculta el navegador de estanterías)
No hay imagen de cubierta disponible | ||||||||
519.7 H 42875 Introduction to mathematical programming / | 519.7 H 42876 Introduction to mathematical programming / | 519.7 K 34986 Logic for problem solving / | 519.7 N 33905 Numerical optimization of dynamic systems / | 519.7 P 24615 Optimization theory with applications / | 519.7 R 24443 Optimization theory / | 519.7 R 43637 Modern heuristic techniques for combinatorial problems |
Incluye bibliografía.
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.
No hay comentarios en este titulo.