On the Delayed Weighted Gradient Method with Simultaneous Step-Size Search

Hugo Lara Urdaneta, Rafael Aleixo


In this article it is presented a two step rst order algorithm, based on bidimensional minimization, to deal with convex quadratic optimization problems. Our analysis show linear convergence and A-orthogonality of the gradient iterates. Numerical experimentation show the eectiveness of our method.


Gradient methods; convex quadratic optimization; Krylov subspace methods; DWGM.

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DOI: https://doi.org/10.5540/03.2022.009.01.0288


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