Results 71 to 80 of about 6,795,119 (352)

Covariance Estimation in Elliptical Models with Convex Structure

open access: yes, 2013
We address structured covariance estimation in Elliptical distribution. We assume it is a priori known that the covariance belongs to a given convex set, e.g., the set of Toeplitz or banded matrices.
Soloveychik, Ilya, Wiesel, Ami
core   +1 more source

Lattices of Convex Sets [PDF]

open access: yesTransactions of the American Mathematical Society, 1977
If V is a vector space over an ordered division ring, C a convex subset of V and L the lattice of convex subsets of C, then we call L a convexity lattice. We give necessary and sufficient conditions for an abstract lattice to be a convexity lattice in the finite dimensional case.
openaire   +1 more source

Precision‐Optimised Post‐Stroke Prognoses

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope   +4 more
wiley   +1 more source

Minimum L1-distance projection onto the boundary of a convex set: Simple characterization

open access: yes, 2006
We show that the minimum distance projection in the L1-norm from an interior point onto the boundary of a convex set is achieved by a single, unidimensional projection.
H. J. H. Tuenter   +2 more
core   +1 more source

Random Learning Leads to Faster Convergence in ‘Model‐Free’ ILC: With Application to MIMO Feedforward in Industrial Printing

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley   +1 more source

On Mathematical Descriptions of Uncertain Parameters in Engineering Structures

open access: yesArchives of Civil Engineering, 2018
Civil engineering is one of the many fields of occurrences of uncertain parameters. The present paper in an attempt to present and describe the most common methods used for inclusions of uncertain parameters.
Pełczyński J.
doaj   +1 more source

Current and Future Cornea Chip Models for Advancing Ophthalmic Research and Therapeutics

open access: yesAdvanced Biology, EarlyView.
This review analyzes cornea chip technology as an innovative solution to corneal blindness and tissue scarcity. The examination encompasses recent developments in biomaterial design and fabrication methods replicating corneal architecture, highlighting applications in drug screening and disease modeling while addressing key challenges in mimicking ...
Minju Kim   +3 more
wiley   +1 more source

The Hermite-Hadamard inequality for s-Convex functions in the third sense

open access: yesAIMS Mathematics, 2021
In this paper, the Hermite-Hadamard inequality for s-convex functions in the third sense is provided. In addition, some integral inequalities for them are presented.
Sevda Sezer
doaj   +1 more source

Termination in Convex Sets of Distributions [PDF]

open access: yesLogical Methods in Computer Science, 2018
Convex algebras, also called (semi)convex sets, are at the heart of modelling probabilistic systems including probabilistic automata. Abstractly, they are the Eilenberg-Moore algebras of the finitely supported distribution monad. Concretely, they have been studied for decades within algebra and convex geometry.
Sokolova, Ana, Woracek, Harald
openaire   +7 more sources

Mechanisms of Increasing Weld Depth during Temporal Power Modulation in High‐Power Laser Beam Welding

open access: yesAdvanced Engineering Materials, EarlyView.
Temporal power modulation increases weld depth in high‐power laser beam welding of dissimilar round bars by nearly 20% compared to same average continuously welded welding power. The mechanism of action also applies to sheet welding and depends on the inertia of keyhole depth for the modulated laser beam power.
Jan Grajczak   +7 more
wiley   +1 more source

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