12 citations · 21 across the 6 of their papers we have counts for
6 papers
Parallel block coordinate descent methods with identification strategies
Ronaldo Lopes, Sandra A. Santos, Paulo J. S. Silva
This work presents a parallel variant of the algorithm introduced in [Acceleration of block coordinate descent methods with identification strategies Comput. Optim. Appl. 72(3):609…
Inexact Newton combined approximations in the topology optimization of geometrically nonlinear elastic structures and compliant mechanisms
Thadeu A. Senne, Francisco A. M. Gomes, Sandra A. Santos
This work blends the inexact Newton method with iterative combined approximations (ICA) for solving topology optimization problems under the assumption of geometric nonlinearity. T…
Unbiased Bregman-Risk Estimators: Application to Regularization Parameter Selection in Tomographic Image Reconstruction
Elias S. Helou, Sandra A. Santos, Lucas E. A. Simões
Unbiased estimators are introduced for averaged Bregman divergences which generalize Stein's Unbiased (Predictive) Risk Estimator, and the minimization of these estimators is propo…
A Fast Gradient and Function Sampling Method for Finite Max-Functions
Elias S. Helou, Sandra A. Santos, Lucas E. A. Simões
This paper tackles the unconstrained minimization of a class of nonsmooth and nonconvex functions that can be written as finite max-functions. A gradient and function-based samplin…
Fisher information distance: a geometrical reading
Sueli I. R. Costa, Sandra A. Santos, João E. Strapasson
This paper is a strongly geometrical approach to the Fisher distance, which is a measure of dissimilarity between two probability distribution functions. The Fisher distance, as we…
Continuing dynamic assimilation of the inner region data in hydrodynamics modelling: Optimization approach
F. I. Pisnichenko, I. A. Pisnichenko, J. M. Martinez +1
In meteorological and oceanological studies the classical approach for finding the numerical solution of the regional model consists in formulating and solving the Cauchy-Dirichlet…