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The Theory of Max-Min and its Application to Weapons Allocation Problems: 5 (Ökonometrie und Unternehmensforschung Econometrics and Operations Research) - Tapa blanda
Sinopsis
Max-Min problems are two-step allocation problems in which one side must make his move knowing that the other side will then learn what the move is and optimally counter. They are fundamental in parti cular to military weapons-selection problems involving large systems such as Minuteman or Polaris, where the systems in the mix are so large that they cannot be concealed from an opponent. One must then expect the opponent to determine on an optlmal mixture of, in the case men tioned above, anti-Minuteman and anti-submarine effort. The author’s first introduction to a problem of Max-Min type occurred at The RAND Corporation about 1951. One side allocates anti-missile defenses to various cities. The other side observes this allocation and then allocates missiles to those cities. If F(x, y) denotes the total residual value of the cities after the attack, with x denoting the defender’s strategy and y the attacker’s, the problem is then to find Max MinF(x, y) = Max [MinF(x, y)] .
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Max-Min problems are two-step allocation problems in which one side must make his move knowing that the other side will then learn what the move is and optimally counter. They are fundamental in parti cular to military weapons-selection problems involving large systems such as Minuteman or Polaris, where the systems in the mix are so large that they cannot be concealed from an opponent. One must then expect the opponent to determine on an optlmal mixture of, in the case men tioned above, anti-Minuteman and anti-submarine effort. The author's first introduction to a problem of Max-Min type occurred at The RAND Corporation about 1951. One side allocates anti-missile defenses to various cities. The other side observes this allocation and then allocates missiles to those cities. If F(x, y) denotes the total residual value of the cities after the attack, with x denoting the defender's strategy and y the attacker's, the problem is then to find Max MinF(x, y) = Max [MinF(x, y)] .
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The Theory of Max-Min and its Application to Weapons Allocation Problems (Ökonometrie und Unternehmensforschung Econometrics and Operations Research)
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The Theory of Max-Min and its Application to Weapons Allocation Problems
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Springer, Springer Mär 2012, 2012
ISBN 10: 3642460941
ISBN 13: 9783642460944
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Max-Min problems are two-step allocation problems in which one side must make his move knowing that the other side will then learn what the move is and optimally counter. They are fundamental in parti cular to military weapons-selection problems involving large systems such as Minuteman or Polaris, where the systems in the mix are so large that they cannot be concealed from an opponent. One must then expect the opponent to determine on an optlmal mixture of, in the case men tioned above, anti-Minuteman and anti-submarine effort. The author's first introduction to a problem of Max-Min type occurred at The RAND Corporation about 1951. One side allocates anti-missile defenses to various cities. The other side observes this allocation and then allocates missiles to those cities. If F(x, y) denotes the total residual value of the cities after the attack, with x denoting the defender's strategy and y the attacker's, the problem is then to find Max MinF(x, y) = Max [MinF(x, y)] . 140 pp. Englisch. Nº de ref. del artículo: 9783642460944
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The Theory of Max-Min and its Application to Weapons Allocation Problems
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Springer Berlin Heidelberg, 2012
ISBN 10: 3642460941
ISBN 13: 9783642460944
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Max-Min problems are two-step allocation problems in which one side must make his move knowing that the other side will then learn what the move is and optimally counter. They are fundamental in parti cular to military weapons-selection problems involving large systems such as Minuteman or Polaris, where the systems in the mix are so large that they cannot be concealed from an opponent. One must then expect the opponent to determine on an optlmal mixture of, in the case men tioned above, anti-Minuteman and anti-submarine effort. The author's first introduction to a problem of Max-Min type occurred at The RAND Corporation about 1951. One side allocates anti-missile defenses to various cities. The other side observes this allocation and then allocates missiles to those cities. If F(x, y) denotes the total residual value of the cities after the attack, with x denoting the defender's strategy and y the attacker's, the problem is then to find Max MinF(x, y) = Max [MinF(x, y)] . Nº de ref. del artículo: 9783642460944
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The Theory of Max-Min and its Application to Weapons Allocation Problems
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Springer Berlin Heidelberg, 2012
ISBN 10: 3642460941
ISBN 13: 9783642460944
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The Theory of Max-min and Its Application to Weapons Allocation Problems (Okonometrie Und Unternehmensforschung Econometrics and Operations Research)
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The Theory of Max-Min and its Application to Weapons Allocation Problems
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 2012, 2012
ISBN 10: 3642460941
ISBN 13: 9783642460944
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Max-Min problems are two-step allocation problems in which one side must make his move knowing that the other side will then learn what the move is and optimally counter. They are fundamental in parti cular to military weapons-selection problems involving large systems such as Minuteman or Polaris, where the systems in the mix are so large that they cannot be concealed from an opponent. One must then expect the opponent to determine on an optlmal mixture of, in the case men tioned above, anti-Minuteman and anti-submarine effort. The author's first introduction to a problem of Max-Min type occurred at The RAND Corporation about 1951. One side allocates anti-missile defenses to various cities. The other side observes this allocation and then allocates missiles to those cities. If F(x, y) denotes the total residual value of the cities after the attack, with x denoting the defender's strategy and y the attacker's, the problem is then to find Max MinF(x, y) = Max [MinF(x, y)] .Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 140 pp. Englisch. Nº de ref. del artículo: 9783642460944
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The Theory of Max-Min and its Application to Weapons Allocation Problems
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