Results 181 to 190 of about 40,610 (305)
A Branch and Bound Method for Stochastic Global Optimization.
A stochastic version of the branch and bound method is proposed for solving stochastic global optimization problems. The method, instead of deterministic bounds, uses stochastic upper and lower estimates of the optimal value of subproblems, to guide the ...
G.C. Pflug, V.I. Norkin, A. Ruszczynski
core
Cuttlebone‐inspired architected metamaterials introduce controlled structural disorder to simultaneously enhance strength, energy absorption, and compressive stability. Tunable disorder suppresses shear anisotropy, outperforms periodic lattices, and establishes discrete randomness as a robust route to high‐performance lightweight mechanical ...
Zengqin Shi +7 more
wiley +1 more source
A barrel theory-based optimization of stochastic PV-DG integration in radial distribution networks under load and solar uncertainties. [PDF]
Alqahtani MH +3 more
europepmc +1 more source
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu +5 more
wiley +1 more source
An improved sinh cosh optimizer for optimal scheduling of a microgrid with multi-energy resources and storage considering different weather conditions. [PDF]
Ma J, Shen H, Nowdeh SA.
europepmc +1 more source
A Stochastic Approach to Global Optimization [PDF]
A. H. G. Rinnooy Kan +2 more
openaire +1 more source
This paper presents numerical approximation schemes for a two stage stochastic programming problem where the second stage problem has a general nonlinear complementarity constraint: first, the complementarity constraint is approximated by a parameterized
Xu, Huifu, Lin, Gui-Hua, Liu, Yongchao
core
The human brain's imagination, which enables autonomous driving hazard avoidance by completing missing visual information, relies on Gaussian‐stochastic neuron. We report the altermagnetic RuO2 spintronic neurons integrating field‐free switching and intrinsic Gaussian stochasticity, building an all‐spin ANN for high‐quality image repairing and high ...
Junwei Zeng +9 more
wiley +1 more source
Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]
Lim D, Doriguello JF, Rebentrost P.
europepmc +1 more source
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang +8 more
wiley +1 more source

