In this paper, a modified Polak-Ribiere-Polyak conjugate gradient projection\nmethod is proposed for solving large scale nonlinear convex constrained\nmonotone equations based on the projection method of Solodov and Svaiter.\nThe obtained method has low-complexity property and converges globally.\nFurthermore, this method has also been extended to solve the sparse signal\nreconstruction in compressive sensing. Numerical experiments illustrate the\nefficiency of the given method and show that such non-monotone method is\nsuitable for some large scale problems.
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