Results 61 to 70 of about 9,520,135 (306)
Large Scale Resource Allocation for the Internet of Things Network Based on ADMM
IEEE Access, 2020 Large scale deployment of Internet of Things (IoT) devices poses challenges in resource allocation. In this paper, alternating direction method of multipliers (ADMM) is adopted to solve such large scale resource allocation problems.
Yanhua He +3 more
doaj +1 more source
Image Deblurring Based on Convex Non-Convex Sparse Regularization and Plug-and-Play Algorithm
Algorithms, 2023 Image deblurring based on sparse regularization has garnered significant attention, but there are still certain limitations that need to be addressed.
Yi Wang +4 more
doaj +1 more source
On approximate cores of non-convex economies [PDF]
, 1984 Grodal B, Trockel W, Weber S. On approximate cores of non-convex economies. Economics letters. 1984;15(3-4):197-202.In this note we investigate, for non-convex finite economies, the relationship between the existence of approximate core allocations and ...
Walter Trockel +5 more
core +1 more source
Advanced Functional Materials, EarlyView.Two‐photon grayscale lithography (2GL) enables high‐speed and precise 3D printing of thermolyzed silica glass microstructures with optical‐grade surface quality, high quality factors, and mechanical strength utilizing a custom‐made pre‐glass resist based on polyhedral oligomeric silsesquioxane (POSS) modified with a high‐sensitivity Norrish type II ...
Jonathan L. G. Schneider +4 more
wiley +1 more source
On Graduated Optimization for Stochastic Non-Convex Problems
CoRR, 2015 17 ...
Elad Hazan +2 more
openaire +4 more sources
Non-Convex Optimization with Spectral Radius Regularization
CoRR, 2021 We develop regularization methods to find flat minima while training deep neural networks. These minima generalize better than sharp minima, yielding models outperforming baselines on real-world test data (which may be distributed differently than the training data).
Adam Sandler +2 more
openaire +3 more sources
Convex Analysis for Minimizing and Learning Submodular Set Functions [PDF]
, 2013 The connections between convexity and submodularity are explored, for purposes of minimizing and learning submodular set functions. First, we develop a novel method for minimizing a particular class of submodular functions, which can be expressed as a
Peter Stobbe, Stobbe, Peter
core +1 more source
Advanced Functional Materials, EarlyView.A magnetically assisted snap‐through liquid crystal elastomer transforms photochemical deformation into a high‐power mechanical impulse, enabling remote microneedle actuation and highlighting its potential for future smart livestock intervention systems.
Chae Won Lee +3 more
wiley +1 more source
Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks
Sensors, 2020 As energy efficiency (EE) is a key performance indicator for the future wireless network, it has become a significant research field in communication networks. In this paper, we consider multi-cell multi-carrier non-orthogonal multiple access (MCMC-NOMA)
Abuzar B. M. Adam +2 more
doaj +1 more source
Advanced Functional Materials, EarlyView.In this work, we use direct ink writing (DIW) to 3D print Bi2Te3‐based materials and naturally induce hierarchical functional nanostructures, which reduced the lattice thermal conductivity by half, resulting in high zT of 0.87and 0.89 in p‐type and n‐type compounds, respectively, competitive with commercial materials.
Liangwei Hu +12 more
wiley +1 more source