Two new Dai-Liao-type conjugate gradient methods for unconstrained optimization problems (Q1686668)

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scientific article; zbMATH DE number 6819195
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Two new Dai-Liao-type conjugate gradient methods for unconstrained optimization problems
scientific article; zbMATH DE number 6819195

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    Two new Dai-Liao-type conjugate gradient methods for unconstrained optimization problems (English)
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    15 December 2017
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    This paper introduces two Dai-Liao-type methods by modifying the conjugate gradient parameter for unconstrained optimization problems. The convergence for uniformly convex objective functions is established. The efficiency of the proposed methods are illustrated by some numerical results.
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    unconstrained optimization
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    Dai-Liao-type methods
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    strong convergence
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    global convergence
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    strong Wolfe line search
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    numerical result
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