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Minimax and Applications

by Ding-Zhu Du
Save 35% Save 35%
Current price ₹11,017.00
Original price ₹16,949.00
Original price ₹16,949.00
Original price ₹16,949.00
(-35%)
₹11,017.00
Current price ₹11,017.00

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Book cover type: Hardcover
  • ISBN13: 9780792336150
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 296
  • Original Price: EUR 149.99
  • Language: English
  • Edition: 1995
  • Item Weight: 613 grams
  • BISAC Subject(s): Calculus, Discrete Mathematics, and Number Systems

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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