Pages that link to "Item:Q2083385"

The following pages link to Diagonally scaled memoryless quasi-Newton methods with application to compressed sensing (Q2083385):

Displaying 7 items.

• An augmented memoryless BFGS method based on a modified secant equation with application to compressed sensing (Q2034433) (← links)
• Nonmonotone diagonally scaled limited-memory BFGS methods with application to compressive sensing based on a penalty model (Q2165892) (← links)
• Analysis of the maximum magnification by the scaled memoryless DFP updating formula with application to compressive sensing (Q2243965) (← links)
• Nonmonotone quasi-Newton-based conjugate gradient methods with application to signal processing (Q6109887) (← links)
• A NONMONOTONE ADMM-BASED DIAGONAL QUASI-NEWTON UPDATE WITH APPLICATION TO THE COMPRESSIVE SENSING PROBLEM (Q6142230) (← links)
• A diagonally scaled Newton-type proximal method for minimization of the models with nonsmooth composite cost functions (Q6184788) (← links)
• A scalar Hessian estimation with a sparse nonmonotone line search technique for the sparse recovery problem (Q6574066) (← links)