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Convergence of fractional adaptive systems using gradient approach
(Elsevier, 2017)
Conditions for boundedness and convergence of the output error and the parameter error for various Caputo's fractional order adaptive schemes based on the steepest descent method are derived in this paper. To this aim, the ...
Geometry method for localization analysis in gradient-dependent J2 plasticity
(American Society of Mechanical Engineers, 2006-12)
In this work the geometrical method for the assessment of discontinuous bifurcation conditions is extended to encompass gradient-dependent plasticity. To this end, the gradient-dependent localization condition is cast in ...
Two-phase model algorithm with global convergence for nonlinear programming
(Plenum Publ CorpNew YorkEUA, 1998)
Automatic methods to detect the top of atmospheric boundary layer
(2013-12-23)
The main objective of this work is to obtain methods that automatically allow qualitative detections of Atmospheric Boundary Layer heights from LIDAR data. Case studies will be used to describe the more relevant days of a ...
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. ...
Hessian Riemannian gradient flows in convex programming
(SIAM PUBLICATIONS, 2004)
In view of solving theoretically constrained minimization problems, we investigate the properties of the gradient flows with respect to Hessian Riemannian metrics induced by Legendre functions. The first result characterizes ...
Automatic differentiation and spectral projected gradient methods for optimal control problems
(Taylor & Francis LtdAbingdonInglaterra, 1998)