In this paper, we address a composite optimization problem in which the objective function consists of two terms: the first presents a function with a gradient that satisfies a Lipschitz–Hölder composition, while the second one is a convex function ...
Vitaliano Amaral
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PERFORMANCE COMPARISON OF DERIVATIVE-FREE OPTIMIZATION METHODS
Structural optimization for parameters and non-parameters-based modelling are adopted in almost all area of science and engineering due to their inherent advantages in contrary to manual tuning. Typically, in the easiest case regression analysis is used to develop a data-based model for the future applications and forecasting.
Mohammad Shamim Miah, Werner Lienhart
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Generalized Euler method to study the vaccination effects on dynamics of measles infection model under non-singular kernel. [PDF]
Yadav LK +4 more
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Sensitivity of Literature $$ {T}_1 $$ Mapping Methods to the Underlying Magnetization Transfer Parameters. [PDF]
Assländer J.
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Hybrid expansion methods for fractional non-linear mathematical systems with Erdelyi-Kober derivative operators in theory of tsunami wave modeling. [PDF]
Damag FH +5 more
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Denoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing. [PDF]
Mokari A +5 more
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Normalized Caputo-Fabrizio SVIR modeling and bifurcation analysis. [PDF]
Shafqat R +3 more
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Quasi-differentiation and its applications to noisy time series data from complex systems. [PDF]
Cheong SA, Kang ZT, Yen PT.
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Artificial intelligence versus traditional approaches in multicomponent spectral analysis. [PDF]
Fahmy NM, Obaydo RH, Lotfy HM.
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Formation of advanced soliton dynamics through the M-fractional regularized long-wave equation. [PDF]
Hossain MM +3 more
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