Results 71 to 80 of about 798,401 (286)
Polyhedral Risk Measures in Stochastic Programming [PDF]
The authors define the class of polyhedral risk measures as optimal values of certain linear stochastic programs with recourse where the arguments appear on the right-hand sides of the dynamic constraints. They provide conditions implying that polyhedral risk measures are coherent and consistent with second order stochastic dominance.
Eichhorn, Andreas, Römisch, Werner
openaire +1 more source
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies +2 more
wiley +1 more source
Bioinspired Shape‐Memory Hook Fasteners With Programmable Interlocking and Silent Release
Bioinspired hook fasteners made from epoxy shape‐memory polymers are shown to switch between strong, secure attachment and gentle, silent release when heated. By combining programmable geometry and material response, these adaptive fasteners outperform commercial systems in strength and noise control, enabling new solutions for robotics, medical ...
Maria I. Vallejo Ciro +3 more
wiley +1 more source
The operators of stochastic differentiation, which are closely related with the extended Skorohod stochastic integral and with the Hida stochastic derivative, play an important role in the classical (Gaussian) white noise analysis.
M.M. Dyriv, N.A. Kachanovsky
doaj +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Integrability conditions for space-time stochastic integrals: Theory and applications
We derive explicit integrability conditions for stochastic integrals taken over time and space driven by a random measure. Our main tool is a canonical decomposition of a random measure which extends the results from the purely temporal case.
Chong, Carsten, Klüppelberg, Claudia
core +1 more source
Łojasiewicz’s support and doubly stochastic measures [PDF]
We consider an alternative to the usual notion of the support of a measure which seems more suitable for the study of doubly stochastic measures.
MikusiÑski, P. +2 more
openaire +2 more sources
Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties
Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon +7 more
wiley +1 more source
A chiral photodetector capable of selectively distinguishing left‐ and right‐handed circularly polarized light is experimentally demonstrated. The device, which features a nanopatterned electrode inverse‐designed by a genetic algorithm within a metal–dielectric–metal nanocavity that incorporates a vacuum‐deposited small‐molecule multilayer, exhibits ...
Kyung Ryoul Park +3 more
wiley +1 more source
Chance constrained directional models in stochastic data envelopment analysis
We construct a new family of chance constrained directional models in stochastic data envelopment analysis, generalizing the deterministic directional models and the chance constrained radial models.
V.J. Bolós +2 more
doaj +1 more source

