Articles liés à Minimax and Applications
Synopsis
Techniques and principles of minimax theory play a key role in many areas of research, including game theory, optimization, and computational complexity. In general, a minimax problem can be formulated as min max f(x, y) (1) ",EX !lEY where f(x, y) is a function defined on the product of X and Y spaces. There are two basic issues regarding minimax problems: The first issue concerns the establishment of sufficient and necessary conditions for equality minmaxf(x,y) = maxminf(x,y). (2) "'EX !lEY !lEY "'EX The classical minimax theorem of von Neumann is a result of this type. Duality theory in linear and convex quadratic programming interprets minimax theory in a different way. The second issue concerns the establishment of sufficient and necessary conditions for values of the variables x and y that achieve the global minimax function value f(x*, y*) = minmaxf(x, y). (3) "'EX !lEY There are two developments in minimax theory that we would like to mention.
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- ÉditeurSpringer
- Date d'édition2011
- ISBN 10 1461335590
- ISBN 13 9781461335597
- ReliureBroché
- Langueanglais
- Nombre de pages312
- ÉditeurDing-Zhu Du, Pardalos Panos M.
- Coordonnées du fabricantnon disponible
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Techniques and principles of minimax theory play a key role in many areas of research, including game theory, optimization, and computational complexity. In general, a minimax problem can be formulated as min max f(x, y) (1) ,EX !lEY where f(x, y) is a fun. N° de réf. du vendeur 4192565
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Minimax and Applications (Nonconvex Optimization and Its Applications)
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Techniques and principles of minimax theory play a key role in many areas of research, including game theory, optimization, and computational complexity. In general, a minimax problem can be formulated as min max f(x, y) (1) ',EX !lEY where f(x, y) is a function defined on the product of X and Y spaces. There are two basic issues regarding minimax problems: The first issue concerns the establishment of sufficient and necessary conditions for equality minmaxf(x,y) = maxminf(x,y). (2) ''EX !lEY !lEY ''EX The classical minimax theorem of von Neumann is a result of this type. Duality theory in linear and convex quadratic programming interprets minimax theory in a different way. The second issue concerns the establishment of sufficient and necessary conditions for values of the variables x and y that achieve the global minimax function value f(x\*, y\*) = minmaxf(x, y). (3) ''EX !lEY There are two developments in minimax theory that we would like to mention. N° de réf. du vendeur 9781461335597
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Minimax and Applications (Nonconvex Optimization and Its Applications)
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Techniques and principles of minimax theory play a key role in many areas of research, including game theory, optimization, and computational complexity. In general, a minimax problem can be formulated as min max f(x, y) (1) ',EX !lEY where f(x, y) is a function defined on the product of X and Y spaces. There are two basic issues regarding minimax problems: The first issue concerns the establishment of sufficient and necessary conditions for equality minmaxf(x,y) = maxminf(x,y). (2) ''EX !lEY !lEY ''EX The classical minimax theorem of von Neumann is a result of this type. Duality theory in linear and convex quadratic programming interprets minimax theory in a different way. The second issue concerns the establishment of sufficient and necessary conditions for values of the variables x and y that achieve the global minimax function value f(x\*, y\*) = minmaxf(x, y). (3) ''EX !lEY There are two developments in minimax theory that we would like to mention. 312 pp. Englisch. N° de réf. du vendeur 9781461335597
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Minimax and Applications (Nonconvex Optimization and Its Applications (closed))
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Minimax and Applications (Nonconvex Optimization and Its Applications, 4)
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