Flexible and Efficient Iterative Solutions for General Variational Inequalities in Real Hilbert Spaces

This paper introduces a novel Picard-type iterative algorithm for solving general variational inequalities in real Hilbert spaces. The proposed algorithm enhances both the theoretical framework and practical applicability of iterative algorithms by relaxing restrictive conditions on parametric seque...

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Bibliografiset tiedot

Päätekijät:	Emirhan Hacıoğlu, Müzeyyen Ertürk, Faik Gürsoy, Gradimir V. Milovanović
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-04-01
Sarja:	Axioms
Aiheet:	relaxed (<i>γ</i>, <i>r</i>) cocoercive mappings general variational inequality collage theorems convex minimization problem machine learning
Linkit:	https://www.mdpi.com/2075-1680/14/4/288
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