1-A new self-scaling memoryless quasi-Newton update for unconstrained optimization

2-A new version of augmented self-scaling BFGS method

3-Solving unconstrained optimization problems by a new conjugate gradient method with sufficient descent property

4-A Trust-region Method Using Extended Nonmonotone Technique for Unconstrained Optimization

5-A new three-term spectral subgradient method for solving absolute value equation

A Trust-region Method Using Extended Nonmonotone Technique for Unconstrained Optimization6

An efficient line search trust-region for systems of nonlinear equations7

Impulse noise removal by an adaptive trust-region method

Some three-term conjugate gradient methods for solving unconstrained optimization problems

A new hybrid conjugate gradient method based on eigenvalue analysis for unconstrained optimization problems

A new Levenberg-Marquardt method based on conjugate gradient structure for solving absolute value equation

An efficient conjugate gradient trust-region approach for systems of nonlinear equation

A new class of conjugate gradient methods for unconstrained smooth optimization and absolute value equations

A new nonmonotone line-search trust-region approach for nonlinear systems

A Barzilai Borwein adaptive trust-region method for solving systems of nonlinear equation

A limited memory quasi-Newton trust-region method for box constrained optimization

A Fixed Point Method for Convex Systems