Author: Héctor Manuel Mora Escobar
Publisher:
ISBN: 9789587010749
Category :
Languages : es
Pages : 348
Book Description
Optimización no lineal y dinámica
Author: Héctor Manuel Mora Escobar
Publisher:
ISBN: 9789587010749
Category :
Languages : es
Pages : 348
Book Description
Publisher:
ISBN: 9789587010749
Category :
Languages : es
Pages : 348
Book Description
Optimización estática y dinámica en economía
Author: Arsenio Pecha Castiblanco
Publisher: Univ. Nacional de Colombia
ISBN: 9789587015508
Category :
Languages : es
Pages : 286
Book Description
Publisher: Univ. Nacional de Colombia
ISBN: 9789587015508
Category :
Languages : es
Pages : 286
Book Description
Optimizacion Dinamica
Author: Ma. Victoria Rodríguez Uría
Publisher: Universidad de Oviedo
ISBN: 9788474689952
Category : Business & Economics
Languages : es
Pages : 146
Book Description
Publisher: Universidad de Oviedo
ISBN: 9788474689952
Category : Business & Economics
Languages : es
Pages : 146
Book Description
Programación lineal entera y programación no lineal
Author: David de la Fuente García
Publisher: Universidad de Oviedo
ISBN: 9788474689273
Category : Mathematics
Languages : es
Pages : 120
Book Description
Publisher: Universidad de Oviedo
ISBN: 9788474689273
Category : Mathematics
Languages : es
Pages : 120
Book Description
Optimización de algunos algoritmos de programación dinámica
Métodos de optimización; programación lineal-gráficas
Author: Francisco J. Jauffred M.
Publisher:
ISBN:
Category : Mathematical optimization
Languages : es
Pages : 750
Book Description
Publisher:
ISBN:
Category : Mathematical optimization
Languages : es
Pages : 750
Book Description
Optimización dinámica
Author: Emilio Cerdá Tena
Publisher:
ISBN: 9788420529370
Category : Mathematics
Languages : es
Pages : 336
Book Description
Publisher:
ISBN: 9788420529370
Category : Mathematics
Languages : es
Pages : 336
Book Description
Elementos de optimización dinámica
Author: Casas Hernández, Daniel Ricardo
Publisher: Universidad de la Salle
ISBN: 9585148013
Category : Business & Economics
Languages : es
Pages : 32
Book Description
La optimización dinámica es un conjunto de enunciados y procedimientos que buscan solucionar un tipo de sistemas dinámicos. Se distinguen dos escenarios básicos: continuo y discreto. En el presente documento se presentan dos problemas del estadio continuo: cálculo de variaciones y control óptimo. Estos temas hacen parte del curso de Economía Matemática 2, del programa de Economía. Este material pretende contribuir didácticamente al encuentro de los estudiantes y las representaciones económicas a través de matemáticas. Los temas de optimización dinámica aparecen en modelos de crecimiento económico, teoría monetaria, macroeconomía, economía de los recursos naturales, entre otros.
Publisher: Universidad de la Salle
ISBN: 9585148013
Category : Business & Economics
Languages : es
Pages : 32
Book Description
La optimización dinámica es un conjunto de enunciados y procedimientos que buscan solucionar un tipo de sistemas dinámicos. Se distinguen dos escenarios básicos: continuo y discreto. En el presente documento se presentan dos problemas del estadio continuo: cálculo de variaciones y control óptimo. Estos temas hacen parte del curso de Economía Matemática 2, del programa de Economía. Este material pretende contribuir didácticamente al encuentro de los estudiantes y las representaciones económicas a través de matemáticas. Los temas de optimización dinámica aparecen en modelos de crecimiento económico, teoría monetaria, macroeconomía, economía de los recursos naturales, entre otros.
Elementos de optimización dinámica
Constraint Programming and Decision Making
Author: Martine Ceberio
Publisher: Springer
ISBN: 3319042807
Category : Technology & Engineering
Languages : en
Pages : 208
Book Description
In many application areas, it is necessary to make effective decisions under constraints. Several area-specific techniques are known for such decision problems; however, because these techniques are area-specific, it is not easy to apply each technique to other applications areas. Cross-fertilization between different application areas is one of the main objectives of the annual International Workshops on Constraint Programming and Decision Making. Those workshops, held in the US (El Paso, Texas), in Europe (Lyon, France) and in Asia (Novosibirsk, Russia), from 2008 to 2012, have attracted researchers and practitioners from all over the world. This volume presents extended versions of selected papers from those workshops. These papers deal with all stages of decision making under constraints: (1) formulating the problem of multi-criteria decision making in precise terms, (2) determining when the corresponding decision problem is algorithmically solvable; (3) finding the corresponding algorithms and making these algorithms as efficient as possible and (4) taking into account interval, probabilistic and fuzzy uncertainty inherent in the corresponding decision making problems. The resulting application areas include environmental studies (selecting the best location for a meteorological tower), biology (selecting the most probable evolution history of a species), and engineering (designing the best control for a magnetic levitation train).
Publisher: Springer
ISBN: 3319042807
Category : Technology & Engineering
Languages : en
Pages : 208
Book Description
In many application areas, it is necessary to make effective decisions under constraints. Several area-specific techniques are known for such decision problems; however, because these techniques are area-specific, it is not easy to apply each technique to other applications areas. Cross-fertilization between different application areas is one of the main objectives of the annual International Workshops on Constraint Programming and Decision Making. Those workshops, held in the US (El Paso, Texas), in Europe (Lyon, France) and in Asia (Novosibirsk, Russia), from 2008 to 2012, have attracted researchers and practitioners from all over the world. This volume presents extended versions of selected papers from those workshops. These papers deal with all stages of decision making under constraints: (1) formulating the problem of multi-criteria decision making in precise terms, (2) determining when the corresponding decision problem is algorithmically solvable; (3) finding the corresponding algorithms and making these algorithms as efficient as possible and (4) taking into account interval, probabilistic and fuzzy uncertainty inherent in the corresponding decision making problems. The resulting application areas include environmental studies (selecting the best location for a meteorological tower), biology (selecting the most probable evolution history of a species), and engineering (designing the best control for a magnetic levitation train).