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An overview on conjugate gradient methods for optimization, extensions and applications
(IEEE Engineering International Research Conference (EIRCON)PE, 2021-11-30)
This paper aims to identify the current state of the art of the latest research related to Conjugate Gradient (CG) methods for unconstrained optimization through a systematic literature review according to the methodology ...
A spectral conjugate gradient method for unconstrained optimization
(Springer-verlagNew YorkEUA, 2001)
An increasing-angle property of the conjugate gradient method and the implementation of large-scale minimization algorithms with line searches
(John Wiley & Sons LtdW SussexInglaterra, 2003)
A cooperative conjugate gradient method for linear systems permitting efficient multi-thread implementation
(Springer, 2018)
This paper revisits, in a multi-thread context, the so-called multi-parameter or block conjugate gradient (B-CG)methods, first proposed as sequential algorithms by O’Leary and Brezinski, for the solution of the linear ...
ERNEAD: Training of Artificial Neural Networks Based on a Genetic Algorithm and Finite Automata Theory
(Editorial Board, 2018)
This paper presents a variation in the algorithm EMODS (Evolutionary Metaheuristic of Deterministic Swapping), at the level of its mutation stage in order to train algorithms for
each problem. It should be noted that the ...
ON THE MAXIMIZATION OF A CONCAVE QUADRATIC FUNCTION WITH BOX CONSTRAINTS
(Siam PublicationsPhiladelphia, 1994)
Solução de Sistema Linear usando Gradiente ConjugadoLinear System Solution using Gradient Conjugated.
(Universidade Federal do Rio Grande do NorteBrasilUFRNBacharelado em Sistemas de InformaçãoDepartamento de Computação e Tecnologia, 2022)
A THEORY OF SECANT PRECONDITIONERS
(Amer Mathematical SocProvidence, 1993)