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Several guaranteed descent conjugate gradient methods for unconstrained optimization
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نویسنده
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liu s.-y. ,huang y.-y.
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منبع
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journal of applied mathematics - 2014 - دوره : 2014 - شماره : 0
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چکیده
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This paper investigates a general form of guaranteed descent conjugate gradient methods which satisfies the descent condition gk tdk≤-1-1/4θkgk2 θk>1/4 and which is strongly convergent whenever the weak wolfe line search is fulfilled. moreover,we present several specific guaranteed descent conjugate gradient methods and give their numerical results for large-scale unconstrained optimization. © 2014 san-yang liu and yuan-yuan huang.
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آدرس
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school of mathematics and statistics,xidian university, China, school of mathematics and statistics,xidian university, China
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Authors
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