Abstract Fractional Monotone Approximation, Theory and Applications

Abstract Fractional Monotone Approximation, Theory and Applications
Author :
Publisher : Springer Nature
Total Pages : 155
Release :
ISBN-10 : 9783030959432
ISBN-13 : 3030959430
Rating : 4/5 (32 Downloads)

Book Synopsis Abstract Fractional Monotone Approximation, Theory and Applications by : George A. Anastassiou

Download or read book Abstract Fractional Monotone Approximation, Theory and Applications written by George A. Anastassiou and published by Springer Nature. This book was released on 2022-03-11 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book employs an abstract kernel fractional calculus with applications to Prabhakar and non-singular kernel fractional calculi. The results are univariate and bivariate. In the univariate case, abstract fractional monotone approximation by polynomials and splines is presented. In the bivariate case, the abstract fractional monotone constrained approximation by bivariate pseudo-polynomials and polynomials is given. This book’s results are expected to find applications in many areas of pure and applied mathematics, especially in fractional approximation and fractional differential equations. Other interesting applications are applied in sciences like geophysics, physics, chemistry, economics, and engineering. This book is appropriate for researchers, graduate students, practitioners, and seminars of the above disciplines.


Abstract Fractional Monotone Approximation, Theory and Applications Related Books

Abstract Fractional Monotone Approximation, Theory and Applications
Language: en
Pages: 155
Authors: George A. Anastassiou
Categories: Technology & Engineering
Type: BOOK - Published: 2022-03-11 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book employs an abstract kernel fractional calculus with applications to Prabhakar and non-singular kernel fractional calculi. The results are univariate a
Banach Space Valued Neural Network
Language: en
Pages: 429
Authors: George A. Anastassiou
Categories: Technology & Engineering
Type: BOOK - Published: 2022-10-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are
Parametrized, Deformed and General Neural Networks
Language: en
Pages: 854
Authors: George A. Anastassiou
Categories: Technology & Engineering
Type: BOOK - Published: 2023-09-29 - Publisher: Springer Nature

DOWNLOAD EBOOK

In this book, we introduce the parametrized, deformed and general activation function of neural networks. The parametrized activation function kills much less n
Intelligent Numerical Methods II: Applications to Multivariate Fractional Calculus
Language: en
Pages: 125
Authors: George A. Anastassiou
Categories: Technology & Engineering
Type: BOOK - Published: 2016-04-27 - Publisher: Springer

DOWNLOAD EBOOK

In this short monograph Newton-like and other similar numerical methods with applications to solving multivariate equations are developed, which involve Caputo
The Analysis of Fractional Differential Equations
Language: en
Pages: 251
Authors: Kai Diethelm
Categories: Mathematics
Type: BOOK - Published: 2010-08-18 - Publisher: Springer

DOWNLOAD EBOOK

Fractional calculus was first developed by pure mathematicians in the middle of the 19th century. Some 100 years later, engineers and physicists have found appl