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Mar 23, 2023 · In the paper we present a new subspace minimization conjugate gradient methods by using a projection technique based on the memoryless quasi-Newton method.
A new subspace minimization conjugate gradient method based on tensor model is proposed and analysed. If the objective function is close to a quadratic, we ...
Dec 3, 2023 · Subspace minimization conjugate gradient (SMCG) methods are a class of quite efficient iterative methods for unconstrained optimization and have received ...
Dec 3, 2023 · Subspace minimization conjugate gradient (SMCG) methods are a class of quite efficient iterative methods for unconstrained optimization and ...
Dec 3, 2023 · Subspace minimization conjugate gradient (SMCG) methods are a class of quite efficient iterative methods for unconstrained optimization and ...
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Subspace minimization conjugate gradient (SMCG) methods are a class of quite efficient iterative methods for unconstrained optimization and have received ...
Dec 3, 2023 · We develop a new SMCG method for unconstrained optimization and exploit some important properties of the new search direction in Sect.2. In Sect ...
Fatemi, M.: A new efficient conjugate gradient method for unconstrained optimization. J. Comput. Appl. Math. 300,. 207-216 (2016). 19. Fletcher, R., Reeves ...
Apr 3, 2020 · In this paper, two new subspace minimization conjugate gradient methods based on p - regularization models are proposed, where a special scaled norm in p - ...
A new adaptive subspace minimization three-term conjugate gradient algorithm with nonmonotone line search is introduced and analyzed in this paper.