Results 131 to 140 of about 2,351,118 (294)
Hidden Convexity in Partially Separable Optimization [PDF]
The paper identifies classes of nonconvex optimization problems whose convex relaxations have optimal solutions which at the same time are global optimal solutions of the original nonconvex problems. Such a hidden convexity property was so far limited to
Laurent, M., Ben-Tal, A., Hertog, D. den
core
Multiplicity of the maximum eigenvalue in structural optimization problems
Many problems in structural optimization can be formulated as a minimization of the maximum eigenvalue of a symmetric matrix. In practise it is often observed that the maximum eigenvalue has multiplicity greater than one close to or at optimal solutions.
Thore, Carl-Johan,
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Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall +4 more
wiley +1 more source
This study aims to improve the adaptability of vertical axis wind turbines (VAWTs) in urban wind fields and reduce the cost of 3-D optimization. It focuses on 2-D to 3-D optimization of J-shaped blades.
Bowen Zhang +9 more
doaj +1 more source
Amidst prevailing uncertainties in investment landscapes and heterogeneous investor risk attitudes toward gains and losses, this study investigates behavioral portfolio selection under a flexible investment horizon.
Wu Z., De Simone V., Yang L.
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Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep +4 more
wiley +1 more source
The Quantum Approximate Optimization Algorithm (QAOA) is a leading candidate for near-term quantum advantage, yet its practical impact is hindered by limited performance on symmetric local Hamiltonians and the costly optimization of variational ...
Gary J Mooney +5 more
doaj +1 more source
The Symmetric Sugeno Integral [PDF]
We propose an extension of the Sugeno integral for negative numbers, in the spirit of the symmetric extension of Choquet integral, also called \Sipos\ integral.
Michel Grabisch
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A geometry‐reconfigured additive manufacturing strategy converts planar printed soft materials into soft compact neural probes with integrated hydrogel electrodes and microfluidic channels. The resulting NeuroMAP platform enables scalable multichannel recording, localized chemical delivery, stable in vivo electrophysiological recording, and reduced ...
Hyunjin Lee +15 more
wiley +1 more source
Various bounds on p, such as Bertrand’s Postulate and Legendre’s Conjecture, propose regions around n that have at at I least one prime within them. Using Prime Generator Theory, show more precise symmetric bounds on p, such that for n a prime exists symmetrically within a distance of n1/2 below and above it.
openaire +1 more source

