A modified BFGS method and its global convergence in nonconvex minimization

The Superlinear Convergence of a Modified BFGS-Type Method for Unconstrained Optimization

Computational Optimization and Applications

A new backtracking inexact BFGS method for symmetric nonlinear equations

Computers & Mathematics with Applications

A limited memory BFGS-type method for large-scale unconstrained optimization

Computers & Mathematics with Applications

Some descent three-term conjugate gradient methods and their global convergence

Optimization Methods & Software

A new class of quasi-Newton updating formulas

Optimization Methods & Software - Dedicated to Professor Michael J.D. Powell on the occasion of his 70th birthday

Global convergence of the nonmonotone MBFGS method for nonconvex unconstrained minimization

Journal of Computational and Applied Mathematics

A globally convergent BFGS method with nonmonotone line search for non-convex minimization

Journal of Computational and Applied Mathematics

Nonlinear conjugate gradient methods with structured secant condition for nonlinear least squares problems

Journal of Computational and Applied Mathematics

Two new conjugate gradient methods based on modified secant equations

Journal of Computational and Applied Mathematics

Convergence analysis of a modified BFGS method on convex minimizations

Computational Optimization and Applications

Blind source separation of continuous-time chaotic signals based on fast random search algorithm

IEEE Transactions on Circuits and Systems II: Express Briefs

Improved Hessian approximation with modified secant equations for symmetric rank-one method

Journal of Computational and Applied Mathematics

Global Convergence of a New Hybrid Gauss-Newton Structured BFGS Method for Nonlinear Least Squares Problems

SIAM Journal on Optimization

Two effective hybrid conjugate gradient algorithms based on modified BFGS updates

Numerical Algorithms

Smoothing Nonlinear Conjugate Gradient Method for Image Restoration Using Nonsmooth Nonconvex Minimization

SIAM Journal on Imaging Sciences

Global convergence of a modified Hestenes-Stiefel nonlinear conjugate gradient method with Armijo line search

Numerical Algorithms

Conjugate gradient methods based on secant conditions that generate descent search directions for unconstrained optimization

Journal of Computational and Applied Mathematics

A combined class of self-scaling and modified quasi-Newton methods

Computational Optimization and Applications

Nonmonotone spectral method for large-scale symmetric nonlinear equations

Numerical Algorithms

Spectral-scaling quasi-Newton methods with updates from the one parameter of the Broyden family

Journal of Computational and Applied Mathematics

A regularized limited memory BFGS method for nonconvex unconstrained minimization

Numerical Algorithms