Neural network based on systematically generated smoothing functions for absolute value equation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Mathematics and Computing"
DOI: 10.1007/s12190-019-01262-1
Abstract: In this paper, we summarize several systematic ways of constructing smoothing functions and illustrate eight smoothing functions accordingly. Then, based on these systematically generated smoothing functions, a unified neural network model is proposed for solving… read more here.
Keywords: smoothing functions; neural network; generated smoothing; systematically generated ... See more keywords
Unified smoothing functions for absolute value equation associated with second-order cone
Sign Up to like & getrecommendations! Published in 2019 at "Applied Numerical Mathematics"
DOI: 10.1016/j.apnum.2018.08.019
Abstract: Abstract In this paper, we explore a unified way to construct smoothing functions for solving the absolute value equation associated with second-order cone (SOCAVE). Numerical comparisons are presented, which illustrate what kinds of smoothing functions… read more here.
Keywords: smoothing functions; associated second; value equation; equation associated ... See more keywords
Effects of smoothing functions on the transformation of TM to TE propagation problems in the framework of FFT-BPM: A comparative study
Sign Up to like & getrecommendations! Published in 2021 at "Optics Communications"
DOI: 10.1016/j.optcom.2020.126374
Abstract: Abstract It is well understood that transverse magnetic (TM) polarized optical beams could not be considered by the FFT-BPM because of the presence of the mixed derivatives of the magnetic field and refractive index in… read more here.
Keywords: fft bpm; index; equivalent index; smoothing functions ... See more keywords