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Further insight into the convergence of the Fletcher-Reeves method 被引量:16
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作者 戴彧虹 《Science China Mathematics》 SCIE 1999年第9期905-916,共12页
The convergence properties of the Fletcher-Reeves method for unconstrained optimization are further studied with the technique of generalized line search. Two conditions are given which guarantee the global convergenc... The convergence properties of the Fletcher-Reeves method for unconstrained optimization are further studied with the technique of generalized line search. Two conditions are given which guarantee the global convergence of the Fletcher-Reeves method using generalized Wolfe line searches or generalized Arjimo line searches, whereas an example is constructed showing that the conditions cannot be relaxed in certain senses. 展开更多
关键词 unconstrained optimization conjugate gradient Fletcher-Reeves method generalid line search global convergence
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