An augmented memoryless BFGS method based on a modified secant equation with application to compressed sensing

DOI10.1016/j.apnum.2021.05.002zbMath1467.65060OpenAlexW3163342783MaRDI QIDQ2034433

Saeide Ghafoori, Saman Babaie-Kafaki, Zohre Aminifard

Publication date: 22 June 2021

Published in: Applied Numerical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apnum.2021.05.002

zbMATH Keywords

unconstrained optimizationcompressed sensingBFGS updatesecant equation

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10)

Related Items (5)

A hybrid quasi-Newton method with application in sparse recovery ⋮ Eigenvalue analyses on the memoryless Davidon-Fletcher-Powell method based on a spectral secant equation ⋮ Unnamed Item ⋮ Analysis of the maximum magnification by the scaled memoryless DFP updating formula with application to compressive sensing ⋮ Diagonally scaled memoryless quasi-Newton methods with application to compressed sensing

Uses Software

• CUTEr

Cites Work

• Unnamed Item
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