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Mittag-leffler euler difference techniques

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mittag-leffler euler difference techniques/ by Tianwei Zhang, Yongkun Li, Jianwen Zhou.
Author:	Zhang, Tianwei.
other author:	Li, Yongkun.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xiv, 192 p. :ill., digital ;24 cm.
[NT 15003449]:	Preface -- Symbols and Acronyms -- Introduction -- The Theory of Delta MLEDs -- A Fuzzy MLED-CGNNs with Time Lags -- The Theory of Nabla MLEDs -- The Theory of CF-EEDs -- A Fuzzy EED-CF-BAMNNs with Time Lags -- Summaries and Perspectives -- References -- Index.
Contained By:	Springer Nature eBook
Subject:	Difference equations. -
Online resource:	https://doi.org/10.1007/978-981-96-6228-9
ISBN:	9789819662289

Mittag-leffler euler difference techniques
Zhang, Tianwei.

Mittag-leffler euler difference techniques[electronic resource] /by Tianwei Zhang, Yongkun Li, Jianwen Zhou. - Singapore :Springer Nature Singapore :2025. - xiv, 192 p. :ill., digital ;24 cm.

Preface -- Symbols and Acronyms -- Introduction -- The Theory of Delta MLEDs -- A Fuzzy MLED-CGNNs with Time Lags -- The Theory of Nabla MLEDs -- The Theory of CF-EEDs -- A Fuzzy EED-CF-BAMNNs with Time Lags -- Summaries and Perspectives -- References -- Index.

This book presents a comprehensive investigation into the exponential and Mittag-Leffler Euler differences for semi-linear fractional-order differential equations, a subject falling within the purview of computational mathematics. The field of exponential and Mittag-Leffler Euler differences has witnessed a period of rapid development in recent times. This has led to the emergence of new techniques such as exponential Euler integrator, exponential Runge-Kutta methods, multistep exponential integrator, exponential Rosenbrock-type methods, and more. This book puts forth several difference approaches to fractional-order differential equations and offers insights into their practical applications in the study of neural networks. Adopting a holistic approach, the book presents a foundational framework for this topic, underscoring the significance of exponential and Mittag-Leffler Euler differences in the numerical theory of fractional-order differential equations. The book is designed for graduate students with an interest in numerical solutions of fractional-order differential equations, as well as for researchers engaged in the qualitative theory of difference equations.

ISBN: 9789819662289

Standard No.: 10.1007/978-981-96-6228-9doiSubjects--Topical Terms:

544163
Difference equations.

LC Class. No.: QA431

Dewey Class. No.: 515.35

Mittag-leffler euler difference techniques
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245 1 0 $a Mittag-leffler euler difference techniques $h [electronic resource] / $c by Tianwei Zhang, Yongkun Li, Jianwen Zhou.
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300 $a xiv, 192 p. : $b ill., digital ; $c 24 cm.
505 0 $a Preface -- Symbols and Acronyms -- Introduction -- The Theory of Delta MLEDs -- A Fuzzy MLED-CGNNs with Time Lags -- The Theory of Nabla MLEDs -- The Theory of CF-EEDs -- A Fuzzy EED-CF-BAMNNs with Time Lags -- Summaries and Perspectives -- References -- Index.
520 $a This book presents a comprehensive investigation into the exponential and Mittag-Leffler Euler differences for semi-linear fractional-order differential equations, a subject falling within the purview of computational mathematics. The field of exponential and Mittag-Leffler Euler differences has witnessed a period of rapid development in recent times. This has led to the emergence of new techniques such as exponential Euler integrator, exponential Runge-Kutta methods, multistep exponential integrator, exponential Rosenbrock-type methods, and more. This book puts forth several difference approaches to fractional-order differential equations and offers insights into their practical applications in the study of neural networks. Adopting a holistic approach, the book presents a foundational framework for this topic, underscoring the significance of exponential and Mittag-Leffler Euler differences in the numerical theory of fractional-order differential equations. The book is designed for graduate students with an interest in numerical solutions of fractional-order differential equations, as well as for researchers engaged in the qualitative theory of difference equations.
650 0 $a Difference equations. $3 544163
650 0 $a Difference equations $x Numerical solutions. $3 713909
650 0 $a Fractional differential equations. $3 2184872
650 1 4 $a Difference and Functional Equations. $3 897290
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 891040
700 1 $a Li, Yongkun. $3 3791035
700 1 $a Zhou, Jianwen. $3 3791036
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773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-96-6228-9
950 $a Mathematics and Statistics (SpringerNature-11649)