A nonmonotonic trust region algorithm for a class of semi-infinite minimax programming. - Yigui Ou; Qian Zhou (Appl. Math. Comput., 2009)

An ODE-based trust region method for unconstrained optimization problems. - Yigui Ou; Qian Zhou; Haichan Lin (J. Comput. Appl. Math., 2009)

A memory gradient method for non-smooth convex optimization. - Yigui Ou; Yuanwen Liu (Int. J. Comput. Math., 2015)

A continuous method model for solving general variational inequality. - Yigui Ou; Haichan Lin (Int. J. Comput. Math., 2016)

A nonmonotone scaled conjugate gradient algorithm for large-scale unconstrained optimization. - Yigui Ou; Xin Zhou (Int. J. Comput. Math., 2018)

A note on the global convergence theorem of accelerated adaptive Perry conjugate gradient methods. - Yigui Ou (J. Comput. Appl. Math., 2018)

A hybrid method for solving systems of nonsmooth equations with box constraints. - Yigui Ou; Haichan Lin (Optim. Lett., 2020)

Revisiting Recursive Least Squares for Training Deep Neural Networks. - Chunyuan Zhang; Qi Song; Hui Zhou; Yigui Ou; Hongyao Deng; Laurence Tianruo Yang (CoRR, 2021)

A neurodynamic approach to zero-one quadratic programming. - Yigui Ou; Haichan Lin (Numer. Algorithms, 2021)

A hybrid BB-type method for solving large scale unconstrained optimization. - Jian Gao; Yigui Ou (J. Appl. Math. Comput., 2023)

A unified convergence analysis of the derivative-free projection-based method for constrained nonlinear monotone equations. - Yigui Ou; Lin Li (Numer. Algorithms, 2023)