Intelligent Numerical Methods: Applications to Fractional Calculus Intelligent Numerical Methods: Applications to Fractional Calculus

Intelligent Numerical Methods: Applications to Fractional Calculus

    • 119,99 €
    • 119,99 €

Publisher Description

In this monograph the authors present Newton-type, Newton-like and other numerical methods, which involve fractional derivatives and fractional integral operators, for the first time studied in the literature. All for the purpose to solve numerically equations whose associated functions can be also non-differentiable in the ordinary sense. That is among others extending the classical Newton method theory which requires usual differentiability of function.

Chapters are self-contained and can be read independently and several advanced courses can be taught out of this book. An extensive list of references is given per chapter. The book’s results are expected to find applications in many areas of applied mathematics, stochastics, computer science and engineering. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also to be in all science and engineering libraries.

GENRE
Computing & Internet
RELEASED
2015
7 December
LANGUAGE
EN
English
LENGTH
439
Pages
PUBLISHER
Springer International Publishing
SIZE
12.3
MB

More Books by George A. Anastassiou & Ioannis K. Argyros

Parametrized, Deformed and General Neural Networks Parametrized, Deformed and General Neural Networks
2023
Advances in Mathematical Modelling, Applied Analysis and Computation Advances in Mathematical Modelling, Applied Analysis and Computation
2023
Advances in Mathematical Modelling, Applied Analysis and Computation Advances in Mathematical Modelling, Applied Analysis and Computation
2022
Banach Space Valued Neural Network Banach Space Valued Neural Network
2022
Fractional Inequalities In Banach Algebras Fractional Inequalities In Banach Algebras
2022
Abstract Fractional Monotone Approximation, Theory and Applications Abstract Fractional Monotone Approximation, Theory and Applications
2022