Decomposition of Generalized Mittag-Leffler Function and Its Properties

Advances in Pure Mathematics

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ISSN Online: 2160-0384
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"Decomposition of Generalized Mittag-Leffler Function and Its Properties"
written by Jyotindra C. Prajapati, Ajay Kumar Shukla,
published by Advances in Pure Mathematics, Vol.2 No.1, 2012

has been cited by the following article(s):

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[6]	GPU Computing of Special Mathematical Functions used in Fractional Calculus
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[7]	Fractional Lévy stable motion time-changed by gamma subordinator
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[8]	GPU Computing of Special Mathematical Func-tions used in Fractional Calculus
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[9]	Extension of prefunctions and its relation with Mittag-Leffler function
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[10]	FRACTIONAL ORDER MODELING AND CONTROL OF MULTI-INPUT-MULTI-OUTPUT PROCESSES
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[11]	EXTENSION OF MITTAG–LEFFLER DENSITY AND PROCESSES
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[12]	Implementation of special mathematical functions for fractional calculus using DSP processor
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[13]	Cálculo fracionário e as funções de Mittag-Leffler
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[14]	Temporal complexity and stochastic central limit theorem
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[15]	k-Fractional Trigonometric Functions
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[16]	Integral Transforms of the Generalized Mittag-Leffler Function
	Applied Mathematical Sciences, 2014

[17]	AMIT CHOUHAN
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[18]	Results on generalized Mittag-Leffler function via Laplace transform
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[1]	Some results on β-Laplace integral transform of generalized Mittag-Leffler function PROCEEDINGS OF THE 11TH INTERNATIONAL ADVANCES IN APPLIED PHYSICS AND MATERIALS SCIENCE CONGRESS & EXHIBITION, 2023 DOI:10.1063/5.0139075

[2]	Certain integrals involving generalized Mittag-Leffler type functions Vojnotehnicki glasnik, 2022 DOI:10.5937/vojtehg70-40296

[3]	Fractional Lévy stable motion time-changed by gamma subordinator Communications in Statistics - Theory and Methods, 2018 DOI:10.1080/03610926.2018.1523430

[4]	Extension of prefunctions and its relation with Mittag-Leffler function The Journal of Analysis, 2017 DOI:10.1007/s41478-017-0052-7

[5]	Implementation of special mathematical functions for fractional calculus using DSP processor 2015 International Conference on Information Processing (ICIP), 2015 DOI:10.1109/INFOP.2015.7489493

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