Reprint
Advances in Differential and Difference Equations with Applications 2020
Edited by
August 2020
348 pages
- ISBN978-3-03936-870-9 (Hardback)
- ISBN978-3-03936-871-6 (PDF)
This book is a reprint of the Special Issue Advances in Differential and Difference Equations with Applications 2020 that was published in
Computer Science & Mathematics
Engineering
Physical Sciences
Public Health & Healthcare
Summary
It is very well known that differential equations are related with the rise of physical science in the last several decades and they are used successfully for models of real-world problems in a variety of fields from several disciplines. Additionally, difference equations represent the discrete analogues of differential equations. These types of equations started to be used intensively during the last several years for their multiple applications, particularly in complex chaotic behavior. A certain class of differential and related difference equations is represented by their respective fractional forms, which have been utilized to better describe non-local phenomena appearing in all branches of science and engineering. The purpose of this book is to present some common results given by mathematicians together with physicists, engineers, as well as other scientists, for whom differential and difference equations are valuable research tools. The reported results can be used by researchers and academics working in both pure and applied differential equations.
Format
- Hardback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
dynamic equations; time scales; classification; existence; necessary and sufficient conditions; fractional calculus; triangular fuzzy number; double-parametric form; FRDTM; fractional dynamical model of marriage; approximate controllability; degenerate evolution equation; fractional Caputo derivative; sectorial operator; fractional symmetric Hahn integral; fractional symmetric Hahn difference operator; Arrhenius activation energy; rotating disk; Darcy–Forchheimer flow; binary chemical reaction; nanoparticles; numerical solution; fractional differential equations; two-dimensional wavelets; finite differences; fractional diffusion-wave equation; fractional derivative; ill-posed problem; Tikhonov regularization method; non-linear differential equation; cubic B-spline; central finite difference approximations; absolute errors; second order differential equations; mild solution; non-instantaneous impulses; Kuratowski measure of noncompactness; Darbo fixed point; multi-stage method; multi-step method; Runge–Kutta method; backward difference formula; stiff system; fractional differential equations; numerical solutions; Riemann-Liouville fractional integral; Caputo fractional derivative; fractional Taylor vector; kerosene oil-based fluid; stagnation point; carbon nanotubes; variable thicker surface; thermal radiation; differential equations; symmetric identities; degenerate Hermite polynomials; complex zeros; oscillation; third order; mixed neutral differential equations; powers of stochastic Gompertz diffusion models; powers of stochastic lognormal diffusion models; estimation in diffusion process; stationary distribution and ergodicity; trend function; application to simulated data; n-th order linear differential equation; two-point boundary value problem; Green function; linear differential equation; exponential stability; linear output feedback; stabilization; uncertain system; fractional calculus; fractional differential equations; nonlocal effects; linear control system; Hilbert space; state feedback control; exact controllability; upper Bohl exponent