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This is a preview. Log in through your library . Abstract In the setting of Hilbert spaces, we show that a hybrid steepest-descent algorithm converges strongly to a solution of a convex minimization ...
Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems. They achieve efficiency by constructing search ...
In this paper we present two algorithms for LC¹ unconstrained optimization problems which use the second order Dini upper directional derivative. These methods are simple and easy to perform. We ...
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