Results 21 to 30 of about 340,118 (259)

Bounds for Quotients of Inverse Trigonometric and Inverse Hyperbolic Functions

open access: yesAxioms, 2022
We establish new simple bounds for the quotients of inverse trigonometric and inverse hyperbolic functions such as sin−1xsinh−1x and tanh−1xtan−1x. The main results provide polynomial bounds using even quadratic functions and exponential bounds under the
Sumedh B. Thool   +3 more
doaj   +1 more source

Exponential-Based Testability Index Allocation and Feasibility Analysis Method

open access: yesIEEE Access, 2021
Existing mainstream testability index allocation (TIA) methods have the problem that the allocation value cannot reflect the index changes with the failure rate. One of the main reasons is that most of the existing methods use linear allocation functions,
Yixin Hu, Yigang Sun, Jiao Xue
doaj   +1 more source

A symmetrical exponential model of soil temperature in temperate steppe regions of China

open access: yesOpen Geosciences, 2023
Global warming has caused changes in various ecological processes and has potential to change ecosystems’ stability. In spite of comprehensive studies to investigate air temperatures under global warming, much less is known about changes in soil ...
Zhang Hui   +5 more
doaj   +1 more source

Numerically Stable form of Green’s Function for a Free-Free Uniform Timoshenko Beam

open access: yesMathematics, 2022
Beam models are widely applied in civil engineering, transport, and industry because the beams are basic structural elements. When dealing with the high-order modes of beam in the context of applying the modal analysis method, the numerical instability ...
Traian Mazilu
doaj   +1 more source

On Degenerate Truncated Special Polynomials

open access: yesMathematics, 2020
The main aim of this paper is to introduce the degenerate truncated forms of multifarious special polynomials and numbers and is to investigate their various properties and relationships by using the series manipulation method and diverse special proof ...
Ugur Duran, Mehmet Acikgoz
doaj   +1 more source

On Exponential Functionals of Lévy Processes [PDF]

open access: yesJournal of Theoretical Probability, 2013
Exponential functionals of Lévy processes appear as stationary distributions of generalized Ornstein-Uhlenbeck (GOU) processes. In this paper we obtain the infinitesimal generator of the GOU process and show that it is a Feller process. Further we use these results to investigate properties of the mapping Φ, which maps two independent Lévy processes to
Behme, Anita, Lindner, Alexander
openaire   +2 more sources

Exponential rings, exponential polynomials and exponential functions [PDF]

open access: yesPacific Journal of Mathematics, 1984
An exponential ring is a pair (R,E), where R is a commutative ring with unit 1 and \(E: (R,+)\to U\) (the multiplicative group of units in R) satisfying \(E(x+y)=E(x)E(y)(x,y\in R),E(0)=1.\) In preparation for proving that each subset of \({\mathbb{R}}^ 2\) definable (with parameters) in the language of exponential rings has finitely many connected ...
openaire   +3 more sources

Exponential-Distance Weights for Reducing Grid-like Artifacts in Patch-Based Medical Image Registration

open access: yesSensors, 2021
Patch-based medical image registration has been well explored in recent decades. However, the patch fusion process can generate grid-like artifacts along the edge of patches for the following two reasons: firstly, in order to ensure the same size of ...
Liang Wu, Shunbo Hu, Changchun Liu
doaj   +1 more source

A Sensitive and Versatile Thickness Determination Method Based on Non-Inflection Terahertz Property Fitting

open access: yesSensors, 2019
The accuracy of thin-film characterization in terahertz spectroscopy is mainly set by the thickness uncertainty. Physical thickness measurement has limited accuracy for thin-film samples thinner than a few hundreds of micrometers and is sometimes even ...
Xuequan Chen, Emma Pickwell-MacPherson
doaj   +1 more source

Improved Convolutional Neural Network Based on Fast Exponentially Linear Unit Activation Function

open access: yesIEEE Access, 2019
The activation functions play increasingly important roles in deep convolutional neural networks. The traditional activation functions have some problems such as gradient disappearance, neuron death and output offset, and so on.
Zheng Qiumei, Tan Dan, Wang Fenghua
doaj   +1 more source

Home - About - Disclaimer - Privacy