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Kybernetika 28(4):249-262, 1992.

Computational Experience with Improved Conjugate Gradient Methods for Unconstrained Minimization

Ladislav Lukšan


Abstract:

The paper contains a description of new restart procedures for the conjugate gradient methods and a numerical investigation of the influence of line search and scaling on their efficiency. Computational results obtained by means of 15 sufficiently difficult problems are given.


Keywords:


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BIB TeX

@article{kyb:1992:4:249-262,

author = {Luk\v{s}an, Ladislav},

title = {Computational Experience with Improved Conjugate Gradient Methods for Unconstrained Minimization},

journal = {Kybernetika},

volume = {28},

year = {1992},

number = {4},

pages = {249-262}

publisher = {{\'U}TIA, AV {\v C}R, Prague },

}


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