M. Raydan

activity

20152023

most citedGeometrical inverse matrix approximation for least-squares problems and acceleration strategies

1 citations · 1 across the 5 of their papers we have counts for

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math.NA2019★ 1 cited

Geometrical inverse matrix approximation for least-squares problems and acceleration strategies

Jean-Paul Chehab, Marcos Raydan

We extend the geometrical inverse approximation approach for solving linear least-squares problems. For that we focus on the minimization of $1 - cos (X (A^{T} A), I)$ , where $A$ is a giv…

math.NA2015

Geometrical inverse preconditioning for symmetric positive definite matrices

Jean-Paul Chehab, Marcos Raydan

We focus on inverse preconditioners based on minimizing $F (X) = 1 - cos (X A, I)$ , where $X A$ is the preconditioned matrix and $A$ is symmetric and positive definite. We present and an…