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Convex Analysis and Minimization Algorithms I

- Fundamentals

About Convex Analysis and Minimization Algorithms I

Convex Analysis may be considered as a refinement of standard calculus, with equalities and approximations replaced by inequalities. Minimization algorithms, more specifically those adapted to non-differentiable functions, provide an immediate application of convex analysis to various fields related to optimization and operations research.

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  • Language:
  • English
  • ISBN:
  • 9783540568506
  • Binding:
  • Hardback
  • Pages:
  • 418
  • Published:
  • October 30, 1996
  • Edition:
  • 1199321996
  • Dimensions:
  • 155x235x25 mm.
  • Weight:
  • 1760 g.
Delivery: 2-3 weeks
Expected delivery: July 18, 2024

Description of Convex Analysis and Minimization Algorithms I

Convex Analysis may be considered as a refinement of standard calculus, with equalities and approximations replaced by inequalities. Minimization algorithms, more specifically those adapted to non-differentiable functions, provide an immediate application of convex analysis to various fields related to optimization and operations research.

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