A descent modified Polak–Ribière–Polyak conjugate gradient method and its global convergence

By Li Zhang, Weijun Zhou, Donghui Li. 2006

485 citations recorded by the source corpus.

Subfields: Modeling and Simulation, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/3f1ccb56053779c445e3bd99d41148cf2bd794c6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Modeling and Simulation

1. Weijun Zhou
2. Xipeng Kou
3. Xueyong Wang
4. S. J. Li
5. Donghui Li
6. Li Zhang

In Numerical Analysis

1. Donghui Li
2. Weijun Zhou
3. Xipeng Kou
4. Xueyong Wang
5. S. J. Li
6. Li Zhang
7. Huan Zhu
8. Zhifeng Dai

Citations in the corpus

• A self-adaptive three-term conjugate gradient method for monotone nonlinear equations with convex constraints (2015, methodology): “Narushima [11] also proposed a smoothing conjugate gradient method, which incorporate the smoothing technique into the Polak–Ribière–Polyak conjugate gradient method in [22], to solve the unconstrained nonsmooth equations.”
• Global convergence of a modified Fletcher–Reeves conjugate gradient method with Armijo-type line search (2006, methodology): “Quite recently, Zhang et al. [ 32 ] proposed a descent modified Polak–Ribi`re–Polyak (PRP) method [24,26], i.e.,”