Results 61 to 70 of about 5,337,814 (354)

Calculating Water Wavelength Using Dispersion Relation and Approximation

open access: yesUndergraduate Journal of Mathematical Modeling: One + Two, 2019
The dispersion relation equation is used to directly compute wave number and wave length to compliment water wave pressure sensor readings. Waves are measured to help coastal engineering to better mitigate coastal infrastructures.
Chantelle Lee
doaj   +1 more source

Semilinear wave equations

open access: yesComputers & Mathematics with Applications, 1987
Solution of semilinear wave equations by the decomposition method is demonstrated to have advantages over conventional methods. Application to quasilinear wave equations and other forms follows immediately.
openaire   +2 more sources

On a fractional Zener elastic wave equation [PDF]

open access: yes, 2012
This survey concerns a causal elastic wave equation which implies frequency power-law attenuation. The wave equation can be derived from a fractional Zener stress-strain relation plus linearized conservation of mass and momentum.
S. P. Näsholm, S. Holm
semanticscholar   +1 more source

Serum Neurofilament Light Chain in Multiple Sclerosis: Superiority of Age‐ and BMI‐Corrected Z Scores/Percentiles Over Absolute Cutoff Values for Prediction of Treatment Response

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Prognostication of disease course and prediction of treatment response in multiple sclerosis is an unmet need. We compared the performance of serum neurofilament light chain Z scores (age‐ and BMI‐adjusted) with absolute concentrations for the prediction of response to disease‐modifying therapy.
Maximilian Einsiedler   +43 more
wiley   +1 more source

The Wave Equation

open access: yes, 2016
In this chapter we will develop the wave equation as a model for the vibrating string problem, and derive d’Alembert’s explicit solution in one dimension using the method of characteristics introduced in Chap. 3.
Hervé Le Dret, Brigitte Lucquin
  +7 more sources

Longitudinal Relationship Between Pain and Depression in People With Inflammatory Arthritis: A Narrative Review

open access: yesArthritis Care &Research, EarlyView.
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox   +3 more
wiley   +1 more source

On a Vector Modified Yajima–Oikawa Long-Wave–Short-Wave Equation

open access: yesMathematics, 2019
A vector modified Yajima−Oikawa long-wave−short-wave equation is proposed using the zero-curvature presentation. On the basis of the Riccati equations associated with the Lax pair, a method is developed to construct multi-fold classical and ...
Xianguo Geng, Ruomeng Li
doaj   +1 more source

The Modified Trial Equation Method for Fractional Wave Equation and Time Fractional Generalized Burgers Equation

open access: yes, 2013
The fractional partial differential equations stand for natural phenomena all over the world from science to engineering. When it comes to obtaining the solutions of these equations, there are many various techniques in the literature. Some of these give
H. Bulut, H. Baskonus, Y. Pandir
semanticscholar   +1 more source

A note on the lifespan of solutions to the semilinear damped wave equation [PDF]

open access: yes, 2012
This paper concerns estimates of the lifespan of solutions to the semilinear damped wave equation. We give upper estimates of the lifespan for the semilinear damped wave equation with variable coefficients in all space dimensions.
M. Ikeda, Yuta Wakasugi
semanticscholar   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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