A new family of globally convergent conjugate gradient methods


Conjugate gradient methods are an important class of methods for unconstrained optimization, especially for large-scale problems. Recently, they have been much studied. In this paper, a new family of conjugate gradientmethod is proposed for unconstrained optimization. This method includes the already existing two practical nonlinear conjugate gradient… (More)
DOI: 10.1007/s10479-016-2120-9


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