
doi: 10.1007/bf01588302
For a nonlinear programming problem with locally Lipschitz objective and inequality constraint functions and continuously differentiable equality constraint functions, a necessary and sufficient condition is presented for the set of multiplier vectors to be nonempty and bounded.
set of multiplier vectors, bounded multipliers, continuously differentiable equality constraint functions, nonemptiness condition, nonsmooth optimization, boundedness condition, constraint qualification, Nonlinear programming, locally Lipschitz objective, inequality constraint functions, nondifferentiable programming, Kuhn-Tucker multipliers, necessary and sufficient condition
set of multiplier vectors, bounded multipliers, continuously differentiable equality constraint functions, nonemptiness condition, nonsmooth optimization, boundedness condition, constraint qualification, Nonlinear programming, locally Lipschitz objective, inequality constraint functions, nondifferentiable programming, Kuhn-Tucker multipliers, necessary and sufficient condition
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