Properties of the delayed weighted gradient method (original) (raw)

A family of optimal weighted conjugate-gradient-type methods for strictly convex quadratic minimization

Marcos Raydan

2020

View PDFchevron_right

A hybrid gradient method for strictly convex quadratic programming

rafael Bernal herrera

Numerical Linear Algebra with Applications, 2020

View PDFchevron_right

Gradient Method with Dynamical Retards for Large-Scale Optimization Problems

Francisco Luengo

Electronic Transactions on Numerical Analysis Etna, 2003

View PDFchevron_right

Steepest descent with momentum for quadratic functions is a version of the conjugate gradient method

Amit Bhaya

Neural Networks, 2004

View PDFchevron_right

An efficient conjugate gradient method with strong convergence properties for non-smooth optimization

Masoud Fatemi

2021

View PDFchevron_right

Gradient methods for minimizing composite functions

Yurii Nesterov

Mathematical Programming, 2013

View PDFchevron_right

An efficient gradient method using the Yuan steplength

William Hager, gerardo toraldo

View PDFchevron_right

Two-versions of descent conjugate gradient methods for large-scale unconstrained optimization

Hawraz Jabbar

Indonesian Journal of Electrical Engineering and Computer Science

View PDFchevron_right

A New Weighted Conjugate Gradient Method

Issam Moghrabi

International Journal of Apllied Mathematics, 2013

View PDFchevron_right

Global convergence of the Heavy-ball method for convex optimization

Euhanna Ghadimi

2015 European Control Conference (ECC), 2015

View PDFchevron_right

A Descent Four-Term Conjugate Gradient Method with Global Convergence Properties for Large-Scale Unconstrained Optimisation Problems

Zabidin Salleh

Mathematical Problems in Engineering, 2021

View PDFchevron_right

The convergence properties of some descent conjugate gradient algorithms for optimization models

Abiodun Owoyemi

Journal of Mathematics and Computer Science, 2020

View PDFchevron_right

A Descent Conjugate Gradient Method With Global Converges Properties for Non-Linear Optimization

Horizon Research Publishing(HRPUB) Kevin Nelson

Mathematics and Statistics, 2022

View PDFchevron_right

Convergence analysis of generalized iteratively reweighted least squares algorithms on convex function spaces

Axel Munk

2009

View PDFchevron_right

Sequential Quadratic Programming Algorithms for Optimization

Francisco Prieto

1989

View PDFchevron_right

An Adaptive Algorithm for Bound Constrained Quadratic Minimization

Marcos Raydan

1997

View PDFchevron_right

A structured diagonal Hessian approximation method with evaluation complexity analysis for nonlinear least squares

Sandra Augusta Santos

Computational and Applied Mathematics

View PDFchevron_right

GLOBAL CONVERGENCE PROPERTIES OF CONJUGATE GRADIENT METHODS FOR OPTIMIZATION

Jorge Nocedal

1992

View PDFchevron_right

A Descent Four-Term of Liu and Storey Conjugate Gradient Method for Large Scale Unconstrained Optimization Problems

Shahrina Ismail

European Journal of Pure and Applied Mathematics, 2021

View PDFchevron_right

A New Scalar of Conjugate Gradient Methods for Solving Unconstrained Minimization

Rana Z . Al-Kawaz

European Journal of Pure and Applied Mathematics

View PDFchevron_right

Smooth and adaptive gradient method with retards

Marcos Raydan

Mathematical and Computer Modelling, 2002

View PDFchevron_right

Gradient Method with Retards and Generalizations

Marcos Raydan

SIAM Journal on Numerical Analysis, 1998

View PDFchevron_right

The convergence properties of a new type of conjugate gradient methods

Mustafa Mamat

Applied Mathematical Sciences, 2014

View PDFchevron_right

On spectral properties of steepest descent methods

Daniela di Serafino

IMA Journal of Numerical Analysis, 2013

View PDFchevron_right

A Generalized Accelerated Composite Gradient Method: Uniting Nesterov's Fast Gradient Method and FISTA

Sergiy A . Vorobyov

IEEE Transactions on Signal Processing

View PDFchevron_right

The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem

Marcos Raydan

SIAM Journal on Optimization, 1997

View PDFchevron_right

A New Hessian Approximation for Non-Convex Unconstrained Minimization Methods

Abbas Y. Al-Bayati

View PDFchevron_right