Dao-Lan Han

According to our database, Dao-Lan Han authored at least 8 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A family of accelerated hybrid conjugate gradient method for unconstrained optimization and image restoration.

Xiaodi Wu, Xiaomin Ye, Dao-Lan Han

J. Appl. Math. Comput., August, 2024

An effective inertial-relaxed CGPM for nonlinear monotone equations.

Jinbao Jian, Zhiwen Ren, Jianghua Yin, Dao-Lan Han, Xiaodi Wu

J. Appl. Math. Comput., February, 2024

2023

A modified inertial three-term conjugate gradient projection method for constrained nonlinear equations with applications in compressed sensing.

Guodong Ma, Jiachen Jin, Jinbao Jian, Jianghua Yin, Dao-Lan Han

Numer. Algorithms, March, 2023

2022

Two modified conjugate gradient methods for unconstrained optimization with applications in image restoration problems.

Guodong Ma, Hui Lin, Wenhui Jin, Dao-Lan Han

J. Appl. Math. Comput., December, 2022

A family of inertial derivative-free projection methods for constrained nonlinear pseudo-monotone equations with applications.

Jinbao Jian, Jianghua Yin, Chunming Tang, Dao-Lan Han

Comput. Appl. Math., October, 2022

2014

A fast convergent sequential linear equation method for inequality constrained optimization without strict complementarity.

Jinbao Jian, Dao-Lan Han, Qing-Juan Xu

Appl. Math. Comput., 2014

2008

A norm-relaxed method of feasible directions for finely discretized problems from semi-infinite programming.

Jin-Bao Jian, Qing-Juan Xu, Dao-Lan Han

Eur. J. Oper. Res., 2008

2006

A strongly convergent norm-relaxed method of strongly sub-feasible direction for optimization with nonlinear equality and inequality constraints.

Jin-Bao Jian, Qing-Juan Xu, Dao-Lan Han

Appl. Math. Comput., 2006