Harry Oviedo

Orcid: 0000-0001-9139-0881

According to our database1, Harry Oviedo authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Delayed Weighted Gradient Method with simultaneous step-sizes for strongly convex optimization.
Comput. Optim. Appl., September, 2024

Computing the completely positive factorization via alternating minimization.
Numer. Linear Algebra Appl., March, 2024

2023
A collection of efficient retractions for the symplectic Stiefel manifold.
Comput. Appl. Math., June, 2023

Circumcentric directions of cones.
Optim. Lett., May, 2023

2022
Implicit steepest descent algorithm for optimization with orthogonality constraints.
Optim. Lett., 2022

A family of optimal weighted conjugate-gradient-type methods for strictly convex quadratic minimization.
Numer. Algorithms, 2022

Global convergence of Riemannian line search methods with a Zhang-Hager-type condition.
Numer. Algorithms, 2022

An extended delayed weighted gradient algorithm for solving strongly convex optimization problems.
J. Comput. Appl. Math., 2022

2021
A hybrid gradient method for strictly convex quadratic programming.
Numer. Linear Algebra Appl., 2021

Two adaptive scaled gradient projection methods for Stiefel manifold constrained optimization.
Numer. Algorithms, 2021

Spectral residual method for nonlinear equations on Riemannian manifolds.
Comput. Appl. Math., 2021

2020
Scaled Fixed Point Algorithm for Computing the Matrix Square Root.
CoRR, 2020

2019
A non-monotone linear search algorithm with mixed direction on Stiefel manifold.
Optim. Methods Softw., 2019

A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem.
CoRR, 2019

A delayed weighted gradient method for strictly convex quadratic minimization.
Comput. Optim. Appl., 2019

A Scaled Gradient Projection Method for Minimization over the Stiefel Manifold.
Proceedings of the Advances in Soft Computing, 2019

2017
A Projection Method for Optimization Problems on the Stiefel Manifold.
Proceedings of the Pattern Recognition - 9th Mexican Conference, 2017


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