Differential and Integral Inequalities Differential and Integral Inequalities
Springer Optimization and Its Applications

Differential and Integral Inequalities

    • USD 119.99
    • USD 119.99

Descripción editorial

Theories, methods and problems in approximation theory and analytic inequalities with a focus on differential and integral inequalities are analyzed in this book.  Fundamental and recent developments are presented on the inequalities of Abel, Agarwal, Beckenbach, Bessel, Cauchy–Hadamard, Chebychev, Markov, Euler’s constant, Grothendieck, Hilbert, Hardy, Carleman, Landau–Kolmogorov, Carlson, Bernstein–Mordell, Gronwall, Wirtinger, as well as inequalities of functions with their integrals and derivatives. Each inequality is discussed with proven results, examples and various applications. Graduate students and advanced research scientists in mathematical analysis will find this reference essential to their understanding of differential and integral inequalities. Engineers, economists, and physicists will find the highly applicable inequalities practical and useful to their research.

GÉNERO
Ciencia y naturaleza
PUBLICADO
2019
14 de noviembre
IDIOMA
EN
Inglés
EXTENSIÓN
863
Páginas
EDITORIAL
Springer International Publishing
VENDEDOR
Springer Nature B.V.
TAMAÑO
28.7
MB

Más libros de Dorin Andrica & Themistocles M. Rassias

Recurrent Sequences Recurrent Sequences
2020
Quadratic Diophantine Equations Quadratic Diophantine Equations
2015
Complex Numbers from A to ... Z Complex Numbers from A to ... Z
2014
Complex Numbers from A to ...Z Complex Numbers from A to ...Z
2007
An Introduction to Diophantine Equations An Introduction to Diophantine Equations
2010
Number Theory Number Theory
2009

Otros libros de esta serie

Optimization in Large Scale Problems Optimization in Large Scale Problems
2019
Advanced Optimization and Operations Research Advanced Optimization and Operations Research
2020
Convex Optimization with Computational Errors Convex Optimization with Computational Errors
2020
Aerospace System Analysis and Optimization in Uncertainty Aerospace System Analysis and Optimization in Uncertainty
2020
Set-Valued Stochastic Integrals and Applications Set-Valued Stochastic Integrals and Applications
2020
Nonlinear Conjugate Gradient Methods for Unconstrained Optimization Nonlinear Conjugate Gradient Methods for Unconstrained Optimization
2020