A nonlinear convex combination in the construction of finite volume scheme satisfying maximum principle
Sign Up to like & getrecommendations! Published in 2020 at "Applied Numerical Mathematics"
DOI: 10.1016/j.apnum.2020.04.014
Abstract: Abstract In the construction of cell-centered finite volume schemes for general diffusion equations with discontinuous coefficients on distorted meshes, auxiliary unknowns are usually introduced to resolve discontinuities across cell-edges. In general, it is difficult to… read more here.
Keywords: convex combination; nonlinear convex; combination; maximum principle ... See more keywords
Convex Combination of Images From Dual-Layer Detectors for High Detective Quantum Efficiencies
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3228892
Abstract: Objective: In this paper, a novel dual-layer detector is considered to acquire X-ray images of high signal-to-noise ratio (SNR) as well as detective quantum efficiency (DQE) especially for high voltages of X-ray tubes. Methods: To… read more here.
Keywords: dual layer; layer; combination; detective quantum ... See more keywords
A Convex Combination of NLMS and ZA-NLMS for Identifying Systems With Variable Sparsity
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2017.2651388
Abstract: This brief aims to identify and track a sparse system with time varying sparseness by a convex combination of two adaptive filters, one based on the sparsity unaware normalized least mean square (NLMS) algorithm and… read more here.
Keywords: combination nlms; combination; convex combination; nlms identifying ... See more keywords
New hyrid conjugate gradient method as a convex combination of HZ and CD methods
Sign Up to like & getrecommendations! Published in 2021 at "Asian-european Journal of Mathematics"
DOI: 10.1142/s1793557121501874
Abstract: In this paper, a new hybrid conjugate gradient algorithm is proposed for solving unconstrained optimization problems, the conjugate gradient parameter [Formula: see text] is computed as a convex combination of [Formula: see text] and [Formula:… read more here.
Keywords: convex combination; conjugate gradient; formula see;
Convex combination of analytic functions
Sign Up to like & getrecommendations! Published in 2017 at "Open Mathematics"
DOI: 10.1515/math-2017-0021
Abstract: Abstract Radii of convexity, starlikeness, lemniscate starlikeness and close-to-convexity are determined for the convex combination of the identity map and a normalized convex function F given by f(z) = α z+(1−α)F(z). read more here.
Keywords: convex combination; combination analytic; analytic functions; combination ... See more keywords
On Strengthened Extragradient Methods Non-Convex Combination with Adaptive Step Sizes Rule for Equilibrium Problems
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14051045
Abstract: Symmetries play a vital role in the study of physical phenomena in diverse areas such as dynamic systems, optimization, physics, scientific computing, engineering, mathematical biology, chemistry, and medicine, to mention a few. These phenomena specialize… read more here.
Keywords: methods non; step; strengthened extragradient; non convex ... See more keywords