When are static and adjustable robust optimization problems with constraint-wise uncertainty equivalent? [PDF]
Marandi A, den Hertog D.
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Approximate weakly efficient solutions of set-valued vector equilibrium problems. [PDF]
Chen J, Xu Y, Zhang K.
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Vector critical points and generalized quasi-efficient solutions in nonsmooth multi-objective programming. [PDF]
Wang Z, Li R, Yu G.
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Optimality condition and iterative thresholding algorithm for [Formula: see text]-regularization problems. [PDF]
Jiao H, Chen Y, Yin J.
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Role of exponential type random invexities for asymptotically sufficient efficiency conditions in semi-infinite multi-objective fractional programming. [PDF]
Verma RU, Seol Y.
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Second-order lower radial tangent derivatives and applications to set-valued optimization. [PDF]
Xu B, Peng Z, Xu Y.
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New algorithms for maximum disjoint paths based on tree-likeness. [PDF]
Fleszar K, Mnich M, Spoerhase J.
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Challenges in Optimal Control of Nonlinear PDE-Systems
Oberwolfach Reports, 2019The workshop focussed on various aspects of optimal control problems for systems of nonlinear partial differential equations. In particular, discussions around keynote presentations in the areas of optimal control of nonlinear/non-smooth systems, optimal
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Worst value and robust value for general optimization problem under uncertainty data
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In this paper, Fritz-John type optimality conditions for weak efficient solutions in terms of contingent epiderivatives of vector variational inequalities and vector optimization problems with constraints are derived.
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