Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Theory of Max-Min and Its Application to Weapons Allocation Problems

The Theory of Max-Min and Its Application to Weapons Allocation Problems

Danskin, J. M.

Paperback

Series: Ökonometrie Und Unternehmensforschung Econometrics and Opera, Book 5

EconomicsGeneral Mathematics

ISBN10: 3642460941
ISBN13: 9783642460944
Publisher: Springer Nature
Published: Mar 1 2012
Pages: 128
Weight: 0.45
Height: 0.30 Width: 6.14 Depth: 9.21
Language: English
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)] .

Also in

Economics

View All