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Second-Order Necessary Conditions in Constrained Semismooth Optimization
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What this work says
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Second-order necessary conditions in semismooth optimization
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On uniqueness of Kuhn-Tucker multipliers in nonlinear programming
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Lagrange multipliers and subderivatives of optimal value functions in nonlinear programming
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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 directional derivatives for nonsmooth functions
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Generalized Gradients and Applications
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A General Sufficiency Theorem for Nonsmooth Nonlinear Programming
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Semismooth and Semiconvex Functions in Constrained Optimization
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Necessary and Sufficient Conditions for a Local Minimum. 3: Second Order Conditions and Augmented Duality
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Second-Order Sufficiency Conditions for Nondifferentiable Programming Problems
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Optimization and Nonsmooth Analysis
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Second-Order Sufficient Conditions in Nonsmooth Optimization
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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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Second-order necessary conditions in semismooth optimization
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Second-order necessary and sufficient conditions in nonsmooth optimization
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On the relations between some second-order derivatives
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New second-order limiting directional derivatives and C$$^1$$-optimization
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Semismoothness and decomposition of maximal normal operators
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Second-order necessary conditions for optimality in nonsmooth nonlinear programming
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Weak directional closedness and generalized subdifferentials
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The maximal normal operator space and integration of subdifferentials of nonconvex functions
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A Bilevel Optimization Approach for Parameter Learning in Variational Models
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Higher-Order Optimality Conditions and Higher-Order Tangent Sets
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Second-Order Optimality Conditions in Nonlinear Programming Obtained by Way of Epi-Derivatives
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Extension of Newton-Kantorovich Theorem for Subanalytic Equations
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