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Necessary and sufficient conditions in constrained optimization

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Vector Spaces and Matrices
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On sufficiency of the Kuhn-Tucker conditions
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What is invexity?
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On duality with generalized convexity
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Further Generalizations of Convexity in Mathematical Programming
inferredcites →https://doi.org/10.1111/j.1467-842x.1961.tb00310.xopenalex-snapshot
A DUALITY THEOREM IN NON‐LINEAR PROGRAMMING WITH NON‐LINEAR CONSTRAINTS1
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Nonlinear Programming
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Dual Programs [Letter to the Editor]
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Vector Spaces and Matrices.

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Energy Management and Optimization
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ON A NONDIFFERENTIABLE VECTOR OPTIMIZATION INVOLVING SEMI $E$-TYPE-I MAPS IN BANACH SPACES
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Optimality and duality for nonsmooth multiobjective optimization problems with generalized V -r-invexity
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Optimality conditions for invex interval valued nonlinear programming problems involving generalized H-derivative
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New type of G-Mond-Weir type primal-dual model and their duality results with generalized assumptions
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Higher order duality in multiobjective fractional programming problem with generalized convexity
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Minty Variational Principle for Nonsmooth Interval-Valued Vector Optimization Problems on Hadamard Manifolds
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Optimality and duality for $ E $-differentiable multiobjective programming problems involving $ E $-type Ⅰ functions
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Statistical support vector machines with optimizations
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