Results 81 to 90 of about 1,917,955 (191)

On the additive image of zeroth persistent homology

Transactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.
Abstract For a category X$X$ and a finite field F$F$, we study the additive image of the functor H0(−;F)∗:rep(X,Top)→rep(X,VectF)$\operatorname{H}_0(-;F)_* \colon \operatorname{rep}(X, \mathbf {Top}) \rightarrow \operatorname{rep}(X, \mathbf {Vect}_F)$, or equivalently, of the free functor rep(X,Set)→rep(X,VectF)$\operatorname{rep}(X, \mathbf {Set ...
Ulrich Bauer, Magnus B. Botnan, Steffen Oppermann, Johan Steen   +3 more
wiley   +1 more source

Stochastic Multiplicative Updates for Symmetric Nonnegative Matrix Factorization

, 2021
Innen maskinlæring brukes symmetrisk ikkenegativ matrisefaktorisering (NMF) i forbindelse med clusteranalyse. NMF utføres ofte ved hjelp av algoritmer som tar i bruk multiplikative oppdateringer (MU). Disse har den fordelen at de automatisk opprettholder ikkenegativitet i faktormatrisen.
Schlüter, Klara, Riege, Jon
openaire   +2 more sources

Handling Experimental Data in FACPACK: Noise Effects on Duality Relations and Algorithmic Parameter Selection

Journal of Chemometrics, Volume 40, Issue 10, October 2026.
ABSTRACT The area of feasible solutions (AFS) quantifies factor ambiguity in multivariate curve resolution (MCR). Although AFS computation is well‐defined for noise‐free data, experimental datasets require constraint relaxation and parameter tuning, which influence the resulting feasible bands.
Mathias Sawall, Christoph Kubis, Alejandro Olivieri, Steven J. Roeters, Klaus Neymeyr   +4 more
wiley   +1 more source

Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA

Communications on Pure and Applied Mathematics, Volume 79, Issue 10, Page 2291-2369, October 2026.
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo   +2 more
wiley   +1 more source

Clustering algorithm for symmetric nonnegative matrix factorization based on adaptive optimization graph

四川大学学报. 自然科学版
Clustering is an important unsupervised learning technique in machine learning and artificial intelligence.Clustering algorithms can uncover latent structures and patterns from unlabeled data， and provide strong support for subsequent data analysis ...
GAO Hai-Yan, HE Wen-Hui
doaj  

Analysis of Eigenvalue Clustering Leads to Optimal Scaling in Numerical Radiative Transfer

Numerical Linear Algebra with Applications, Volume 33, Issue 5, October 2026.
ABSTRACT We consider a multidimensional polychromatic radiative transfer (RT) problem, accounting for scattering processes in a general form, that is, anisotropic (dipole) scattering with partial frequency redistribution. Given a discrete ordinates (SN$$ {S}_N $$) discretization, we report the corresponding matrix structures, depending on the model and
Pietro Benedusi, Simone Riva, Luca Belluzzi, Stefano Serra‐Capizzano   +3 more
wiley   +1 more source

Control Systems Design With Enlarged Stability Domains for Nonlinear Constrained Systems via Sum‐of‐Squares Optimization

International Journal of Robust and Nonlinear Control, Volume 36, Issue 14, Page 6856-6876, 25 September 2026.
ABSTRACT Designing safe control laws for nonlinear systems is challenging, especially when ensuring stability under actuator saturation and state constraints. A key aspect is embedding controllers with a Region of Attraction (ROA), which defines initial conditions guaranteeing convergence to a stable equilibrium point (EP).
Bhaskar Biswas, Dmitry Ignatyev, Argyrios Zolotas, Antonios Tsourdos   +3 more
wiley   +1 more source

Non Negative (Kernel) Max-Margin Matrix Factorization [PDF]

, 2013
Kumar B G, Vijay, Patras, Ioannis
core   +4 more sources

Linear Fractional Transformations of Nevanlinna Functions Associated with a Nonnegative Operator [PDF]

, 2011
In the present paper a subclass of scalar Nevanlinna functions is studied, which coincides with the class of Weyl functions associated to a nonnegative symmetric operator of defect one in a Hilbert space.
Winkler, Henrik,, Henrik Winkler, Hassi, Seppo,, Wietsma, Rudi,, Henk de Snoo, Jussi Behrndt, Rudi Wietsma, de Snoo, Henk, Seppo Hassi, Snoo, Henk de, Snoo, Henk de,, Behrndt, Jussi, Hassi, Seppo, Behrndt, Jussi,, Wietsma, Rudi, Winkler, Henrik   +15 more
core   +2 more sources

Hybrid Coupling With Operator Inference and the Overlapping Schwarz Alternating Method

International Journal for Numerical Methods in Engineering, Volume 127, Issue 17, 15 September 2026.
ABSTRACT This paper presents a hybrid approach for coupling subdomain‐local, nonintrusive Operator Inference (OpInf) reduced order models (ROMs) with each other and with subdomain‐local, high‐fidelity full order models (FOMs) using the overlapping Schwarz alternating method (O‐SAM).
Irina Tezaur, Eric Parish, Anthony Gruber, Ian Moore, Christopher Wentland, Alejandro Mota   +5 more
wiley   +1 more source