Skip to content
Log in
Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

M. Alshahrani

View on Semantic Scholar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Iteration of Complexity and Asymptotic Analysis of Gradient-Type Methods with Non-monotone Line Search on Riemannian Manifolds

This paper investigates gradient-type methods for solving optimization problems on Riemannian manifolds. In this approach, we utilize a search direction based on the gradient direction and employ a general non-monotone line search scheme to determine the stepsize at each iteration. This scheme encompasses several well-...

Q. Ansari, O. P. Ferreira, M. Uddin et al. · 0 citations
Open access Sep 2026

Scaled projection neural network for quasi-variational inequalities.

We propose a scaled projection neural network for solving quasi-variational inequalities in which the constraint set S(x)=m(x)+S depends on the state through a contraction mapping m that translates a fixed closed convex set S, while the projection is performed with respect to a fixed symmetric positive definite matrix...

M. Alshahrani, Q. Ansari · 0 citations
Open access Sep 2026

Derivative-Free Spectral Projection Methods for Large-Scale Monotone Equations

We introduce two derivative-free spectral projection methods for large-scale monotone equations with convex constraints. The first, SOPP (Spectral Optimal-Perry Projection), selects its Perry parameter by minimizing the condition number of a symmetrized Perry matrix over its positive definite range, in place of the eig...

Kabenge Hamiss, M. Alshahrani, M. Syed · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.