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In this paper we introduce an acceleration of gradient descent algorithm with backtracking. The idea is to modify the steplength tk by means of a positive parameter θk, in a multiplicative manner, in such a way to improve the behaviour of the classical gradient algorithm. It is shown that the resulting algorithm remains linear convergent, but the reduction in function value is significantly...
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