Results 81 to 90 of about 1,698,574 (297)
Distance Matrix of a Class of Completely Positive Graphs: Determinant and Inverse
A real symmetric matrix A is said to be completely positive if it can be written as BBt for some (not necessarily square) nonnegative matrix B. A simple graph G is called a completely positive graph if every matrix realization of G that is both ...
Das Joyentanuj +2 more
doaj +1 more source
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia +1 more
wiley +1 more source
ABSTRACT Firms' strategic decision‐making relies not only on their own information but also on that disclosed by supply chain partners. While research recognizes buyers' importance in green innovation, the impact of their information disclosure remains underdeveloped. Drawing on the extended resource‐based view, this study investigates the joint effect
Yang Yang, Yan Jiang
wiley +1 more source
The Re-nonnegative definite solutions to the matrix equation $AXB=C$ [PDF]
summary:An $n\times n$ complex matrix $A$ is called Re-nonnegative definite (Re-nnd) if the real part of $x^{\ast } Ax$ is nonnegative for every complex $n$-vector $x$. In this paper criteria for a partitioned matrix to be Re-nnd are given.
Yang, Changlan, Wang, Qingwen
core +1 more source
SIM‐CaliRam combines simulation‐informed references and biomass‐augmented features for in‐line Raman calibration under sparse labels and biomass‐induced spectral confounding. Run‐wise calibration and validation enable prediction of biomass, glucose, ammonium, and phosphate on an unseen S. cerevisiae fed‐batch fermentation.
Terrance Wilms, Steffi Knorn
wiley +1 more source
The original Hopfield neural networks model is adapted so that the weights of the resulting network are time varying. In this paper, the Discrete Hopfield neural networks with weight function matrix (DHNNWFM) the weight changes with time, are considered,
Jun Li +3 more
doaj +1 more source
Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley +1 more source
Using underapproximations for sparse nonnegative matrix factorization [PDF]
Nonnegative Matrix Factorization (NMF) has gathered a lot of attention in the last decade and has been successfully applied in numerous applications.
GILLIS, Nicolas, GLINEUR, François
core
Front Propagation Through a Perforated Wall
ABSTRACT We consider a bistable reaction– diffusion equation ut=Δu+f(u)$u_t=\Delta u +f(u)$ on RN${\mathbb {R}}^N$ in the presence of an obstacle K$K$, which is a wall of infinite span with many holes. More precisely, K$K$ is a closed subset of RN${\mathbb {R}}^N$ with smooth boundary such that its projection onto the x1$x_1$‐axis is bounded and that ...
Henri Berestycki +2 more
wiley +1 more source
Compact Manifolds With Unbounded Nilpotent Fundamental Groups and Positive Ricci Curvature
ABSTRACT It follows from the work of Kapovitch and Wilking that a closed manifold with nonnegative Ricci curvature has a uniformly almost nilpotent fundamental group. Leftover questions and conjectures, have asked if in this context the fundamental group is actually uniformly almost abelian. The main goal of this work is to construct examples (Mk9,gk)$(
Elia Bruè, Aaron Naber, Daniele Semola
wiley +1 more source

