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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)
Gradient method with retards and generalizations
(Siam PublicationsPhiladelphiaEUA, 1998)
Nonmonotone spectral projected gradient methods on convex sets
(Siam PublicationsPhiladelphiaEUA, 2000)
Reduced gradient method combined with augmented Lagrangian and barrier for the optimal power flow problem
(ELSEVIER SCIENCE INC, 2008)
A new approach for solving the optimal power flow (OPF) problem is established by combining the reduced gradient method and the augmented Lagrangian method with barriers and exploring specific characteristics of the relations ...
Partial spectral projected gradient method with active-set strategy for linearly constrained optimization
(SPRINGER, 2010)
A method for linearly constrained optimization which modifies and generalizes recent box-constraint optimization algorithms is introduced. The new algorithm is based on a relaxed form of Spectral Projected Gradient iterations. ...
On the determination of epsilon during discriminative GMM training
(2010-12-01)
Discriminative training of Gaussian Mixture Models (GMMs) for speech or speaker recognition purposes is usually based on the gradient descent method, in which the iteration step-size, ε, uses to be defined experimentally. ...