A Modified Nonlinear Conjugate Gradient Algorithm for Large-Scale Nonsmooth Convex Optimization
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DOI: 10.1007/s10957-020-01636-7
Abstract: Nonlinear conjugate gradient methods are among the most preferable and effortless methods to solve smooth optimization problems. Due to their clarity and low memory requirements, they are more desirable for solving large-scale smooth problems. Conjugate… read more here.
Keywords: large scale; nonlinear conjugate; scale nonsmooth; conjugate gradient ... See more keywords