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Reformulation and Enhancement of Distributed Robust Optimization Framework Incorporating Decision-Adaptive Uncertainty Sets

Axioms
Distributionally robust optimization (DRO) is an advanced framework within the realm of optimization theory that addresses scenarios where the underlying probability distribution governing the data is uncertain or ambiguous. In this paper, we introduce a
Jie Zhang, Shuang Lin, Yifei Wang
doaj +1 more source

Perturbation analysis of second-order cone programming problems

, 2004
We discuss first and second order optimality conditions for nonlinear second-order cone programming problems, and their relation with semidefinite programming problems. For doing this we extend in an abstract setting the notion of optimal partition. Then we state a characterization of strong regularity.
Bonnans, J. Frederic, Ramírez C, Héctor +1 more
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Axisymmetric adaptive upper-bound finite element limit analysis formulation based on second-order cone programming for bearing capacity of circular footing. [PDF]

PLoS One
Sun R, Cai H, Zhang K.
europepmc +1 more source

Coordinated active-reactive power optimization considering photovoltaic abandon based on second order cone programming in active distribution networks. [PDF]

PLoS One
Peng B, Wang Y.
europepmc +1 more source

SHI: a framework for spatial harmonic imaging. [PDF]

Sci Rep
Diaz JLB, Korvink JG, Kunka D.
europepmc +1 more source

Hierarchical Beamforming Optimization for ISAC-Enabled RSU Systems in Complex Urban Environments. [PDF]

Sensors (Basel)
You Z, Lv N, Zheng G, Wang X.
europepmc +1 more source

Weighted Sum-Rate Maximization and Task Completion Time Minimization for Multi-Tag MIMO Symbiotic Radio Networks. [PDF]

Sensors (Basel)
Suo L, Wang D, Zhou W, Peng X.
europepmc +1 more source

Signed Tropicalization of Polar Cones. [PDF]