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Conjugate Duality and Optimization.

The theory of duality in problems of optimization is developed in a setting of finite and infinite dimensional spaces using convex analysis. Applications to convex and nonconvex problems. Expository account containing many new results. (Author).

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  • "Provides a relatively brief introduction to conjugate duality in both finite- and infinite-dimensional problems. An emphasis is placed on the fundamental importance of the concepts of Lagrangian function, saddle-point, and saddle-value. General examples are drawn from nonlinear programming, approximation, stochastic programming, the calculus of variations, and optimal control."
  • "The theory of duality in problems of optimization is developed in a setting of finite and infinite dimensional spaces using convex analysis. Applications to convex and nonconvex problems. Expository account containing many new results. (Author)."@en

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  • "Congressen (vorm)"
  • "Electronic books."

http://schema.org/name

  • "Conjugate Duality and Optimization."@en
  • "Conjugate duality and optimization."
  • "Conjugate duality and optimization."@en
  • "Conjugate duality and potimization."
  • "Conjugate duality and optimization "Essentially to be regarded as supplement to the book Convex analysis." /"
  • "Conjugate duality and optimization"
  • "Conjugate duality and optimization"@en
  • "Conjugate duality & optimizations."
  • "Conjugate duality and optimization /"
  • "Conjugate Duality and Optimization"
  • "Conjugate Duality and Optimization"@en
  • "Conjugate duality and optimizaion /"