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From convex feasibility to convex constrained optimization using block action projection methods and underrelaxation
(Wiley-blackwellMaldenEUA, 2009)
Projections Onto Convex Sets through Particle Swarm Optimization and its application for remote sensing image restoration
(Elsevier B.V., 2010-10-01)
Image restoration attempts to enhance images corrupted by noise and blurring effects. Iterative approaches can better control the restoration algorithm in order to find a compromise of restoring high details in smoothed ...
On Convex Functions and the Finite Element Method
(Society for Industrial and Applied Mathematics, 2009-12)
Many problems of theoretical and practical interest involve finding a convex or concave function.For instance, optimization problems such as finding the projection on the convex functions in $H^k(Omega)$, or some problems ...
Inexact spectral projected gradient methods on convex sets
(Oxford Univ PressOxfordInglaterra, 2003)
Approximating optimization problems over convex functions
(Springer, 2008-11)
Many problems of theoretical and practical interest involve finding an optimum over a family of convex functions. For instance, finding the projection on the convex functions in $H^k(Omega)$, and some problems in economics. ...
A hybrid image restoration algorithm based on Projections onto Convex Sets and Harmony Search
(2013-09-09)
Image restoration is a research field that attempts to recover a blurred and noisy image. Since it can be modeled as a linear system, we propose in this paper to use the meta-heuristics optimization algorithm Harmony Search ...
A hybrid image restoration algorithm based on Projections onto Convex Sets and Harmony Search
(2013-09-09)
Image restoration is a research field that attempts to recover a blurred and noisy image. Since it can be modeled as a linear system, we propose in this paper to use the meta-heuristics optimization algorithm Harmony Search ...
Projections onto convex sets parameter estimation through harmony search and its application for image restoration
(2016-09-01)
Image restoration is a research field that attempts to recover a blurred and noisy image. Although we have one-step algorithms that are often fast for image restoration, iterative formulations allow a better control of the ...
Circumcentering outer-approximate projections and reflections for the convex feasibility problem
(2021-03-26)
Recentemente, algoritmos baseados em circuncentros foram aplicados para resolver problemas gerais de viabilidade convexa. Para superar computações custosas de projeções e reflexões em conjuntos convexos, nós apresentamos ...
Projections Onto Convex Sets through Particle Swarm Optimization and its application for remote sensing image restoration
(Elsevier B.V., 2010-10-01)
Image restoration attempts to enhance images corrupted by noise and blurring effects. Iterative approaches can better control the restoration algorithm in order to find a compromise of restoring high details in smoothed ...