Results 51 to 60 of about 36,142 (194)
A Liouville theorem for superlinear heat equations on Riemannian manifolds
, 2019 We study the triviality of the solutions of weighted superlinear heat equations on Riemannian manifolds with nonnegative Ricci tensor. We prove a Liouville--type theorem for solutions bounded from below with nonnegative initial data, under an integral ...
Castorina, Daniele +2 more
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Best Nonnegative Rank-One Approximations of Tensors [PDF]
SIAM Journal on Matrix Analysis and Applications, 2019 In this paper, we study the polynomial optimization problem of multi-forms over the intersection of the multi-spheres and the nonnegative orthants. This class of problems is NP-hard in general, and includes the problem of finding the best nonnegative rank-one approximation of a given tensor.
Hu, S, Sun, D, Toh, KC
openaire +4 more sources
Reduction of Feynman integrals in the parametric representation
Journal of High Energy Physics, 2020 In this paper, the reduction of Feynman integrals in the parametric representation is considered. This method proves to be more efficient than the integration-by-part (IBP) method in the momentum space.
Wen Chen
doaj +1 more source
Symmetric nonnegative tensors and copositive tensors
Linear Algebra and its Applications, 2013 We first prove two new spectral properties for symmetric nonnegative tensors. We prove a maximum property for the largest H-eigenvalue of a symmetric nonnegative tensor, and establish some bounds for this eigenvalue via row sums of that tensor. We show that if an eigenvalue of a symmetric nonnegative tensor has a positive H-eigenvector, then this ...
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On New Classes of Nonnegative Symmetric Tensors [PDF]
SIAM Journal on Optimization, 2017 Summary: In this paper we introduce three new classes of nonnegative forms (or equivalently, symmetric tensors) and their extensions. The newly identified nonnegative symmetric tensors constitute distinctive convex cones in the space of general symmetric tensors (order six or above).
Chen, Bilian +3 more
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Journal of Big Data, 2021 Detecting and delineating hot spots in data from radiation sensors is required in applications ranging from monitoring large geospatial areas to imaging small objects in close proximity.
Michael G. Thomason, Benjamin S. Jordan
doaj +1 more source
Nonnegative canonical tensor decomposition with linear constraints: nnCANDELINC
Numerical Linear Algebra with Applications, 2022 AbstractThere is an emerging interest for tensor factorization applications in big‐data analytics and machine learning. To speed up the factorization of extra‐large datasets, organized in multidimensional arrays (also known as tensors), easy to compute compression‐based tensor representations, such as, Tucker and tensor train formats, are used to ...
Alexandrov, Boian +3 more
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Free Trade Zones and Corporate ESG: Evidence From a Quasi‐Natural Experiment in China
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines how China's Pilot Free Trade Zones (FTZs) influence corporate ESG performance. Using a staggered difference‐in‐differences model on Chinese listed firms from 2009 to 2024, we combine coarsened exact matching (CEM) and geography‐based instrumental variables to ensure robust identification.
Wen Li, Yinghan Zhao, Brian Lucey
wiley +1 more source
Researcher–Entrepreneur Relationship and Performance of Innovative Startups
International Journal of Finance &Economics, EarlyView.ABSTRACT Many innovative startups are joint ventures between researchers and entrepreneurs, who collaborate in R&D and product commercialization. Government policies such as grants, subsidies, and patent licensing fees act as Pigouvian subsidies, incentivizing R&D by bridging the gap between the social and private returns of innovation.
Yangguang Huang, Helen Hui
wiley +1 more source
Kullback-Leibler Principal Component for Tensors is not NP-hard
, 2017 We study the problem of nonnegative rank-one approximation of a nonnegative tensor, and show that the globally optimal solution that minimizes the generalized Kullback-Leibler divergence can be efficiently obtained, i.e., it is not NP-hard.
Huang, Kejun, Sidiropoulos, Nicholas D.
core +1 more source