Necessary and Sufficient Conditions in Nonlinear Optimization.

Abstract

These notes are directed at the newcomer to nonlinear programming for whom a thorough understanding of Lagrange multipliers, the Kuhn-Tucker conditions and the duality theorem is essential. The notes attempt to explain these foundations of the theory and what motivates them. Special cases of one or two dimensions are considered and are extended by means of the notation of vector differentiation of the case of n variables. The reader is taken in stages from the problem of unconstrained minimization, through the equation constrained problem, to the general constrained problem. The important Jacobian assumption is also discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1981
Accession Number
ADA102868

Entities

People

  • J. J. Skrobanski

Organizations

  • Royal Aircraft Establishment

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algebra
  • Algorithms
  • Eigenvalues
  • Eigenvectors
  • Equations
  • Foreign Languages
  • Inequalities
  • Lagrangian Functions
  • Language
  • Linear Algebra
  • Nonlinear Programming
  • Notation
  • Numbers
  • Optimization
  • Scalar Functions
  • Sequences
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Operations Research
  • Theoretical Analysis.