∊-gradients pour les ponctions localements lipschitziennes et applications

DOI10.1080/01630569408816574zbMath0810.49026OpenAlexW2140729585MaRDI QIDQ4296732

Manuel Bustos Valdebenito

Publication date: 6 April 1995

Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01630569408816574

zbMATH Keywords

necessary condition for optimalitylocally Lipschitzian functions\(\varepsilon\)-gradientsKuhn-Tucker multiplicator

Mathematics Subject Classification ID

Nonsmooth analysis (49J52) Optimality conditions for problems in abstract spaces (49K27)

Related Items (2)

ε-Subdifferential and ε-monotonicity ⋮ Necessary optimality conditions and saddle points for approximate optimization in Banach space

Cites Work

• Optimization of upper semidifferentiable functions
• \(\epsilon\)-solutions in vector minimization problems
• Images of connected sets by semicontinuous multifunctions
• Reflections on nondifferentiable optimization. I: Ball gradient
• Reflections on nondifferentiable optimization. II: Convergence
• On the variational principle
• Epsilon-solutions and epsilon-supports
• Optimization and nonsmooth analysis
• Nonconvex minimization problems
• ε-Optimal solutions in nondifferentiable convex programming and some related questions
• On the Extension of Constrained Optimization Algorithms from Differentiable to Nondifferentiable Problems
• Optimization of lipschitz continuous functions
• A New Approach to Lagrange Multipliers
• Penalty functions in ε-programming and ε-minimax problems

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