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math.NA2026
Eigenvector-based acceleration strategies for gradient-type methods
Jean-Paul Chehab, Gaspard Kemlin, Marcos Raydan +1
Several strategies are described and analyzed to speed-up gradient-type methods when applied to the minimization of strictly convex quadratics and strictly convex functions. The pr…
math.NA2025
Acceleration methods for fixed point iterations
Yousef Saad
A pervasive approach in scientific computing is to express the solution to a given problem as the limit of a sequence of vectors or other mathematical objects. In many situations t…
math.NA2024
Joint Approximate Partial Diagonalization of Large Matrices
Abd-Krim Seghouane, Yousef Saad
Given a set of symmetric (real) matrices, the Orthogonal Joint Diagonalization (OJD) problem consists of finding an orthonormal basis in which the representation of each of the…