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Mathematical Modeling with Differential Equations in Physics, Chemistry, Biology, and Economics



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Autore: Palestini Arsen Visualizza persona
Titolo: Mathematical Modeling with Differential Equations in Physics, Chemistry, Biology, and Economics Visualizza cluster
Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica: 1 electronic resource (150 p.)
Soggetto topico: Research & information: general
Mathematics & science
Soggetto non controllato: q-Hermite polynomials
zeros of q-Hermite polynomials
differential equation
splitted separation
Lie symmetries
gauss hypergeometric functions
initial value problem
Kepler-type orbits
Runge-Kutta
differential evolution
dynamical systems
stability
economics
relationships
networks
oscillatory problems
SEIR ODE model
COVID-19 transmission
convalescent plasma transfusion (CPT)
degeneracy
elliptic PDE
ladder operator
commuting operator
eigenvalues
mixing process
simultaneous differential equations
variable production rate
simulated annealing
financial markets
investment style
border collision bifurcation
fundamental analysis
technical analysis
market maker
differential equations with discontinuous right-hand sides
Hopfield artificial neural networks
Persona (resp. second.): PalestiniArsen
Sommario/riassunto: This volume was conceived as a Special Issue of the MDPI journal Mathematics to illustrate and show relevant applications of differential equations in different fields, coherently with the latest trends in applied mathematics research. All the articles that were submitted for publication are valuable, interesting, and original. The readers will certainly appreciate the heterogeneity of the 10 papers included in this book and will discover how helpful all the kinds of differential equations are in a wide range of disciplines. We are confident that this book will be inspirational for young scholars as well.
Titolo autorizzato: Mathematical Modeling with Differential Equations in Physics, Chemistry, Biology, and Economics  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910585935903321
Lo trovi qui: Univ. Federico II
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