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Some New Results for Jaggi-W-Contraction-Type Mappings on b-Metric-like Spaces
(MDPI (Basel, Switzerland), 2021-08-12)
In this article, we generalize, improve, unify and enrich some results for Jaggi-W-contraction-type mappings in the framework of b-metric-like spaces. Our results supplement numerous methods in the existing literature, and ...
New results on F-contractions in complete metric spaces
(MDPI (Basel, Switzerland), 2021-12-21)
The main purpose of this paper is to improve, generalize, unify, extend and enrich the recent results established by Dung and Hang (2015), Piri and Kumam (2014, 2016), and Singh et al. (2018). In our proofs, we only use ...
On Some New Contractive Conditions in Complete Metric Spaces
(MDPI (Basel, Switzerland), 2021-01-07)
One of the main goals of this paper is to obtain new contractive conditions using the method of a strictly increasing mapping F:(0,+∞)→(−∞,+∞). According to the recently obtained results, this was possible (Wardowski’s ...
THE TOTAL TORSION OF KNOTS UNDER SECOND ORDER INFINITESIMAL BENDING
(University of Belgrade - School of Electrical Engineering, 2021-10-26)
In this paper we consider infinitesimal bending of the second order of curves
and knots. The total torsion of the knot during the second order infinitesimal
bending is discussed and expressions for the first and the ...
Quantization of Weights of Neural Networks with Negligible Decreasing of Prediction Accuracy
(Kaunas University of Technology, 2021-09-24)
Quantization and compression of neural network parameters using the uniform scalar quantization is carried out in this paper. The attractiveness of the uniform scalar quantizer is reflected in a low complexity and relatively ...
Design of a 2-Bit Neural Network Quantizer for Laplacian Source
(Molecular Diversity Preservation International, 2021-07-22)
Achieving real-time inference is one of the major issues in contemporary neural network applications, as complex algorithms are frequently being deployed to mobile devices that have constrained storage and computing power. ...
Binary Quantization Analysis of Neural Networks Weights on MNIST Dataset
(Kaunas University of Technology, 2021-08-23)
This paper considers the design of a binary scalar quantizer of Laplacian source and its application in compressed neural networks. The quantizer performance is investigated in a wide dynamic range of data variances, and ...
A comparative study of two different finite difference methods for solving advection–diffusion reaction equation for modeling exponential traveling wave in heat and mass transfer processes
(Springer, 2021-10-26)
An unconditionally-positive finite difference (UPFD) and the standard explicit finite difference schemes are compared to the analytical solution of the advection–diffusion reaction equation which describes the exponential ...
Method for investigation of mode coupling in multimode step-index silica photonic crystal fibers
(Elsevier, 2021-07-30)
We propose a new method for investigation the state of mode coupling in a multimode step-index
silica photonic crystal fiber (SI SPCF) with a solid-core by solving the time-independent power
flow equation. For various ...
Wavelength dependent transmission in W-type plastic optical fibers with graded index core distribution
(Elsevier, 2021-08-08)
This paper investigates the wavelength dependence of the equilibrium mode distribution (EMD)
and steady state distribution (SSD) in W-type plastic optical fibers (POFs) with graded index (GI)
core distribution for ...