Second-order conditions in c1, 1optimization with applications
From MaRDI portal
Publication:4293280
DOI10.1080/01630569308816543zbMath0804.90114OpenAlexW2122856151MaRDI QIDQ4293280
Publication date: 3 July 1994
Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01630569308816543
constraint qualificationgeneralized second-order directional derivativesecond-order necessary conditions
Related Items
On optimality conditions for nonsmooth vector problems in normed spaces via generalized Hadamard directional derivatives ⋮ Generalized Hessian for \(C^{1,1}\) functions in infinite dimensional normed spaces ⋮ Generalized parameter-free duality models in discrete minmax fractional programming based on second-order optimality conditions ⋮ Second-order subdifferentials of \(C^{1,1}\) functions and optimality conditions ⋮ Second-order optimality conditions for inequality constrained problems with locally Lipschitz data ⋮ On scalar and vector \(\ell \)-stable functions ⋮ New second-order limiting directional derivatives and \(C^1\)-optimization ⋮ Fréchet Second-Order Subdifferentials of Lagrangian Functions and Optimality Conditions ⋮ Second-order optimality conditions in minimax optimization problems ⋮ Second-order conditions for constrained vector optimization problems with ℓ-stable data ⋮ Second-order optimality conditions for vector problems with continuously Fréchet differentiable data and second-order constraint qualifications ⋮ Second-order optimality conditions for problems with \(C^{1}\) data ⋮ From scalar to vector optimization. ⋮ Stability in generalized differentiability based on a set convergence principle ⋮ Sufficient Conditions of Isolated Minimizers for Constrained Programming Problems ⋮ Second-order optimality conditions and Lagrange multiplier characterizations of the solution set in quasiconvex programming ⋮ Minimal approximate Hessians for continuously Gâteaux differentiable functions ⋮ Second-order conditions in \(C^{1,1}\) constrained vector optimization ⋮ Approximate generalized Hessians and Taylor’s expansions for continuously Gâteaux differentiable functions
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Second-order and related extremality conditions in nonlinear programming
- Generalized Hessian matrix and second-order optimality conditions for problems with \(C^{1,1}\) data
- On constrained optimization problems with nonsmooth cost functionals
- Second-order optimality conditions for the extremal problem under inclusion constraints
- A Generalized Second-Order Derivative in Nonsmooth Optimization
- On uniqueness of Kuhn-Tucker multipliers in nonlinear programming
- Optimization and nonsmooth analysis
- On second-order sufficient optimality conditions for c 1,1-optimization problems
- Composite Nonsmooth Programming with Gâteaux Differentiability
- Generalized second-order directional derivatives and optimization with C1,1 functions
- Second Order Conditions for Constrained Minima