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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. ...
Suitable approximations for the self-accelerating parameters in iterative methods with memory
Solving the nonlinear equation f(x)=0 is a common problem in several areas of Science and Engineering. Since exact solutions of the nonlinear equation are hardly available, scientists best rely on numerical solutions, such ...
Wide stability in a new family of optimal fourth-order iterative methods
A new family of two-steps fourth-order iterative methods for solving nonlinear equations is introduced based on the weight functions procedure. This family is optimal in the sense of Kung-Traub conjecture and it is extended ...
Use Of Continued Iteration On The Reduction Of Iterations Of The Interior Point Method
(Sociedade Brasileira de Pesquisa Operacional, 2016)
Convergence and dynamics of a higher order family of iterative methods
In this chapter we study the convergence as well as the dynamics of some high convergence order family of iterative methods.
Convergence of iterative methods for multiple zeros
In this chapter we study the convergence, as well as the dynamics, of some high order family of iterative methods
Convergence planes of iterative methods
In this chapter we study the convergence planes associated to a certain class of iterative methods.
Generating Root-Finder Iterative Methods of Second Order: Convergence and Stability
In this paper, a simple family of one-point iterative schemes for approximating the solutions of nonlinear equations, by using the procedure of weight functions, is derived. The convergence analysis is presented, showing ...