Search Results - "Ou, Yigui"

A hybrid BB-type method for solving large scale unconstrained optimization by Gao, Jian, Ou, Yigui

“…In this paper, based on the ideas of Barzilai and Borwein (BB) method and IMPBOT algorithm proposed by Brown and Biggs (J Optim Theory Appl 62:211–224, 1989),…”
Get full text

A nonmonotonic trust region algorithm for a class of semi-infinite minimax programming by Yigui, Ou, Qian, Zhou

“…Based on the discretization methods for solving semi-infinite programming problems, this paper presents a new nonmonotonic trust region algorithm for a class…”
Get full text

An ODE-Based Trust Region Filter Algorithm for Unconstrained Optimization by Ou, Yigui

“…In this article, an ODE-based trust region filter algorithm for unconstrained optimization is proposed. It can be regarded as a combination of trust region and…”
Get full text

A superlinearly convergent ODE-type trust region algorithm for nonsmooth nonlinear equations by Yigui, Ou

“…This paper presents a new trust region algorithm for solving nonsmooth nonlinear equation problems which posses the smooth plus non-smooth decomposition. At…”
Get full text

An ODE-based trust region method for unconstrained optimization problems by Ou, Yigui, Zhou, Qian, Lin, Haichan

“…In this paper, a new trust region algorithm is proposed for solving unconstrained optimization problems. This method can be regarded as a combination of trust…”
Get full text

A unified convergence analysis of the derivative-free projection-based method for constrained nonlinear monotone equations by Ou, Yigui, Li, Lin

“…In this paper, we propose a general framework that provides a unified convergence analysis of the derivative-free projection-based method (DFPM) for solving…”
Get full text

A neurodynamic approach to zero-one quadratic programming by Ou, Yigui, Lin, Haichan

“…This paper proposes a neurodynamic approach to zero-one quadratic programming with linear constraints. Compared with one existing neurodynamic approach to such…”
Get full text

A new derivative-free SCG-type projection method for nonlinear monotone equations with convex constraints by Ou, Yigui, Li, Jingya

“…Based on a modified line search scheme, this paper presents a new derivative-free projection method for solving nonlinear monotone equations with convex…”
Get full text

A hybrid method for solving systems of nonsmooth equations with box constraints by Ou, Yigui, Lin, Haichan

“…This paper proposes a hybrid method for solving systems of nonsmooth equations with box constraints, which combines the idea of Levenberg–Marquard-like method…”
Get full text

A nonmonotone scaled conjugate gradient algorithm for large-scale unconstrained optimization by Ou, Yigui, Zhou, Xin

“…This paper proposes a nonmonotone scaled conjugate gradient algorithm for solving large-scale unconstrained optimization problems, which combines the idea of…”
Get full text

An interior trust region algorithm for solving linearly constrained nonlinear optimization by Yigui, Ou, Dingpi, Hou

“…In this paper, an interior point algorithm based on trust region techniques is proposed for solving nonlinear optimization problems with linear equality…”
Get full text

A continuous method model for solving general variational inequality by Ou, Yigui, Lin, Haichan

“…Based on the projection operator, this paper presents a continuous method model for solving general variational inequality problems (VIPs) with bound…”
Get full text

Supermemory gradient methods for monotone nonlinear equations with convex constraints by Ou, Yigui, Liu, Yuanwen

“…This paper presents two new supermemory gradient algorithms for solving convex-constrained nonlinear monotone equations, which combine the idea of supermemory…”
Get full text

A hybrid trust region algorithm for unconstrained optimization by Ou, Yigui

“…This paper presents a hybrid trust region algorithm for unconstrained optimization problems. It can be regarded as a combination of ODE-based methods, line…”
Get full text

An ODE-like nonmonotone method for nonsmooth convex optimization by Ou, Yigui, Lin, Haichan

“…Based on the Moreau–Yosida regularization and a modified nonmonotone line search technique, this paper presents an implementable ordinary differentiable…”
Get full text

A nonmonotone supermemory gradient algorithm for unconstrained optimization by Ou, Yigui, Liu, Yuanwen

“…This paper presents a nonmonotone supermemory gradient algorithm for unconstrained optimization problems. At each iteration, this proposed method sufficiently…”
Get full text

A SUPERLINEARLY CONVERGENT TRUST REGION ALGORITHM FOR LC1 CONSTRAINED OPTIMIZATION PROBLEMS by Ou, Yigui, Hou, Dingpi

“…In this paper, a new trust region algorithm for nonlinear equality constrained LC1 optimization problems is given. It obtains a search direction at each…”
Get full text

A memory gradient method for non-smooth convex optimization by Ou, Yigui, Liu, Yuanwen

“…Based on the Moreau-Yosida regularization and a modified line search technique, this paper presents an implementable memory gradient method for solving a…”
Get full text

An ODE-based nonmonotone method for unconstrained optimization problems by Ou, Yigui, Liu, Yuanyuan

“…This paper proposes an ODE-based nonmonotone method for unconstrained optimization problems, which combines the idea of IMPBOT with the nonmonotone technique…”
Get full text

Revisiting Recursive Least Squares for Training Deep Neural Networks by Zhang, Chunyuan, Song, Qi, Zhou, Hui, Ou, Yigui, Deng, Hongyao, Yang, Laurence Tianruo

“…Recursive least squares (RLS) algorithms were once widely used for training small-scale neural networks, due to their fast convergence. However, previous RLS…”
Get full text