Simulation-based solution of stochastic mathematical programs with complementarity constraints: Sample-path analysis [PDF]
We consider a class of stochastic mathematical programs with complementarity constraints, in which both the objective and the constraints involve limit functions or expectations that need to be estimated or approximated.
Birbil, S.I. +2 more
core
Atomic‐Scale Detection of Néel Vector Switching in the Single‐Layer A‐Type Antiferromagnet Cr2S3‐2D
Advanced Materials, EarlyView.Interfacial electron donation from graphene redistributes charge within single‐layer Cr2S3‐2D, preferentially accumulating at the lower Cr/S plane. The resulting minute magnetic imbalance lifts the equivalence of the two magnetic sublayers, enabling atomic‐resolution identification and field‐induced control of Néel‐vector states in a two‐dimensional A ...
Affan Safeer +11 more
wiley +1 more source
On Stochastic Approximation Methods
The Annals of Mathematical Statistics, 1956 openaire +3 more sources
The concept of stochastic dominance is defined, and its relation to welfare, poverty, and income inequality explained. A brief discussion is provided of how statistical inference may be performed for hypotheses relating to stochastic dominance.
Russell Davidson
core
Breaking the Surface: Buoyant Metal–Polymer Open–Cell Hybrid Lattice Metamaterials
Advanced Materials, EarlyView.Open‐cell metal–polymer lattice metamaterials that defy sinking. (a) Injection process of the polyurethane (PU) foam into the titanium (Ti‐6Al‐4V) hollow‐strut lattice creating the open‐cell Ti‐6Al‐4V+PU hybrid lattice, (b) flotation test of a hybrid lattice specimen, and (c) a digital representation and experimental validation of a marine buoy ...
Jordan Noronha +7 more
wiley +1 more source
Quasi-Maximum Likelihood estimation of Stochastic Volatility models. [PDF]
Changes in variance or volatility over time can be modelled using stochastic volatility (SV) models. This approach is based on treating the volatility as an unobserved vatiable, the logarithm of which is modelled as a linear stochastic process, usually ...
Ruiz, Esther
core
Machine-learning-enhanced image reconstruction in optical tomography using the Monte Carlo method for light transport. [PDF]
J Biomed OptKangasniemi J +3 more
europepmc +1 more source
Artificial Intelligence Meets Micro/Nanorobotics
Advanced Materials, EarlyView.Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever +6 more
wiley +1 more source
Stochastic delay derivatives of Newcastle disease application in epidemic model: Stability analysis and approximation. [PDF]
PLoS OneShahid N +5 more
europepmc +1 more source
Moiré‐Induced Symmetry Breaking of Charge Order in van der Waals Heterostructures
Advanced Materials, EarlyView.A uniaxial moiré potential in misfit (MS)1+δTaS2 heterostructures selectively reshape charge order: the embedded 1H‐TaS2 layer hosts an incommensurate charge‐density wave, fragmented into nanometer domains and stripped of threefold symmetry. Superconductivity, however, remains uniform and fully gapped, revealing heterosymmetry stacking as a selective ...
Sandra Sajan +12 more
wiley +1 more source