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Second-order necessary and sufficient conditions in nonsmooth optimization
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Second-order and related extremality conditions in nonlinear programming
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Second-order necessary conditions in semismooth optimization
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Necessary and sufficient optimality conditions for a class of nonsmooth minimization problems
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A unified theory of first and second order conditions for extremum problems in topological vector spaces
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Second-order necessary conditions for optimality in nonsmooth nonlinear programming
inferredcites →https://doi.org/10.1016/0362-546x(84)90091-9openalex-snapshot
Calculus of Dini subdifferentials of functions and contingent coderivatives of set-valued maps
inferredcites →https://doi.org/10.1090/s0002-9947-1983-0684505-9openalex-snapshot
A General Sufficiency Theorem for Nonsmooth Nonlinear Programming
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Semismooth and Semiconvex Functions in Constrained Optimization
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Second-Order Necessary Conditions in Constrained Semismooth Optimization
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A Generalized Second-Order Derivative in Nonsmooth Optimization
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Optimization and Nonsmooth Analysis
inferredcites →https://doi.org/10.1287/moor.13.4.660openalex-snapshot
Second-Order Sufficient Conditions in Nonsmooth Optimization
inferredcites →https://doi.org/10.1287/moor.14.3.462openalex-snapshot
Second-Order Optimality Conditions in Nonlinear Programming Obtained by Way of Epi-Derivatives
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Optimality Conditions for Lower Semi-continuous Functions
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Conciliating Generalized Derivatives
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Prox-Regularity and Subjets
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An Interior-Point $$\boldsymbol{\ell_{1}}$$ -Penalty Method for Nonlinear Optimization
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Second-order optimality conditions for minimizing a maxfunction
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On second-order conditions in unconstrained optimization
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Separate Necessary and Sufficient Conditions for the Local Minimum of a Function
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A Derivative-Free Algorithm for Constrained Global Optimization Based on Exact Penalty Functions
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Calculus of directional subdifferentials and coderivatives in Banach spaces
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Calculus of directional coderivatives and normal cones in Asplund spaces
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Second-order optimality conditions for inequality constrained problems with locally Lipschitz data
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Directionally limiting subdifferentials and second-order optimality conditions
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On the relations between some second-order derivatives
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The check of optimality conditions in nonsmooth programming
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Parameter-free duality models and applications to semiinfinite minmax fractional programming based on second-order ( $$\phi ,\eta ,\rho ,\theta ,{\tilde{m}}$$ ϕ , η , ρ , θ , m ~ )-sonvexities
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Fréchet approach in second-order optimization
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Optimality conditions for an isolated minimum of order two in C1 constrained optimization
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Second-order optimality conditions with arbitrary nondifferentiable function in scalar and vector optimization
inferred← citeshttps://doi.org/10.1080/02331934.2016.1208195openalex-snapshot
Higher order optimality conditions with an arbitrary non-differentiable function
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Higher-Order Optimality Conditions and Higher-Order Tangent Sets
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Nonsmooth Exact Penalty Methods for Equality-Constrained Optimization: Complexity and Implementation
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On Some Relations between Chaney’s Generalized Second-Order Directional Derivative and That of Ben-Tal and Zowe
inferred← citeshttps://doi.org/10.1137/s1052623400370606openalex-snapshot
New Sequential and Parallel Derivative-Free Algorithms for Unconstrained Minimization
inferred← citeshttps://doi.org/10.1137/s1052623498341259openalex-snapshot
On Minimizing and Critical Sequences in Nonsmooth Optimization
inferred← citeshttps://doi.org/10.1142/s0219622014500540openalex-snapshot
Second- and First-Order Optimality Conditions in Vector Optimization
inferred← citeshttps://doi.org/10.1287/moor.22.3.747openalex-snapshot
On Lower Bounds of the Second-Order Directional Derivatives of Ben-Tal, Zowe, and Chaney
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Fréchet approach to generalized second-order differentiability
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Second-order information in the adaptive search exploration algorithm
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Potentialities of Nonsmooth Optimization
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