Zhang, Li; Zhou, Weijun; Li, Donghui A descent modified Polak-Ribière-Polyak conjugate gradient method and its global convergence. (English) Zbl 1106.65056 IMA J. Numer. Anal. 26, No. 4, 629-640 (2006). The authors study conjugate gradient methods to solve an unconstraint optimization problem. They begin by describing the main principles of conjugate gradient approaches and in particular the Polak-Ribière-Polyak (PRP) method. In the second section they propose a modified PRP method which is described in detail. The third and fourth sections look into the convergence properties of the proposed algorithm and at the results of computational experimentation using this modified PRP conjugate gradient method. Reviewer: Efstratios Rappos (Athens) Cited in 10 ReviewsCited in 234 Documents MSC: 65K05 Numerical mathematical programming methods 90C52 Methods of reduced gradient type 65F10 Iterative numerical methods for linear systems Keywords:global convergence; numerical examples; unconstraint optimization; Polak-Ribière-Polyak method Software:L-BFGS; CUTEr × Cite Format Result Cite Review PDF Full Text: DOI