Results 81 to 90 of about 9,520,135 (306)
Unified Power Allocation for Receive Spatial Modulation Based on Approximate Optimization
IEEE Access, 2018 In this paper, a novel unified power allocation (PA) framework is proposed for receive (pre-coding aided) spatial modulation (RSM). We find that the PA matrix design can be formulated as a non-convex quadratically constrained quadratic program (QCQP ...
Ping Yang +5 more
doaj +1 more source
Variance Reduction for Faster Non-Convex Optimization
CoRR, 2016 polished ...
Zeyuan Allen Zhu, Elad Hazan
openaire +4 more sources
Azaporphyrinoid‐Based Photo‐ and Electroactive Architectures for Advanced Functional Materials
Advanced Materials, EarlyView.A long‐standing collaboration between the Torres and Guldi groups has yielded diverse azaporphyrinoid‐based donor‐acceptor nanohybrids with promising applications in solar energy conversion. This conspectus highlights key molecular platforms and structure‐function relationships that govern light and charge management, supporting the rational design of ...
Jorge Labella +3 more
wiley +1 more source
Advanced Materials, EarlyView.Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source
Optimized Temporal Interference Stimulation Based on Convex Optimization: A Computational Study
IEEE Transactions on Neural Systems and Rehabilitation EngineeringTemporal interference (TI) stimulation is a non-invasive method targeting deep brain regions by applying two pairs of high-frequency currents with a slight frequency difference to the scalp.
Chao Geng +5 more
doaj +1 more source
A Non–Convex Optimization Approach to Correlation Clustering
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 We develop a non-convex optimization approach to correlation clustering using the Frank-Wolfe (FW) framework. We show that the basic approach leads to a simple and natural local search algorithm with guaranteed convergence. This algorithm already beats alternative algorithms by substantial margins in both running time and quality of the clustering ...
Erik Thiel +2 more
openaire +2 more sources
Escaping the Scaling Relationships in Oxygen Reduction Catalysis: Implications for PEM Fuel Cells
Advanced Materials, EarlyView.Escaping the scaling relationships of the oxygen reduction reaction is vital for hydrogen fuel cells. This outlook examines how interfacial heterogeneity, spanning the subsurface lattice, chemisorption layer, and near‐interface solvation volume, mechanistically decouples intermediate binding energetics.
Muhammad Bilal Wazir +2 more
wiley +1 more source
First-order methods of smooth convex optimization with inexact oracle [PDF]
In this paper, we analyze different first-order methods of smooth convex optimization employing inexact first-order information. We introduce the notion of an approximate first-order oracle.
GLINEUR, François +2 more
core
, 2023 We present two easy-to-implement gradient-free/zeroth-order methods to optimize a stochastic non-smooth function accessible only via a black-box. The methods are built upon efficient first-order methods in the heavy-tailed case, i.e., when the gradient ...
Pavel Dvurechensky +7 more
core +1 more source
Advanced Materials, EarlyView.This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source