Results 21 to 30 of about 21,110 (236)

A Connection Formula for the q-Confluent Hypergeometric Function [PDF]

open access: yesSymmetry, Integrability and Geometry: Methods and Applications, 2013
We show a connection formula for the $q$-confluent hypergeometric functions ${}_2varphi_1(a,b;0;q,x)$. Combining our connection formula with Zhang's connection formula for ${}_2varphi_0(a,b;-;q,x)$, we obtain the connection formula for the $q$-confluent ...
Takeshi Morita
doaj   +5 more sources

Sufficient Conditions for Linear Operators Related to Confluent Hypergeometric Function and Generalized Bessel Function of the First Kind to Belong to a Certain Class of Analytic Functions

open access: yesSymmetry
Geometric function theory has extensively explored the geometric characteristics of analytic functions within symmetric domains. This study analyzes the geometric properties of a specific class of analytic functions employing confluent hypergeometric ...
Saiful R Mondal   +2 more
exaly   +3 more sources

A physicist's guide to the solution of Kummer's equation and confluent hypergeometric functions

open access: yesCondensed Matter Physics, 2022
The confluent hypergeometric equation, also known as Kummer's equation, is one of the most important differential equations in physics, chemistry, and engineering. Its two power series solutions are the Kummer function, M(a,b,z), often referred to as the
W. N. Mathews Jr.   +3 more
doaj   +2 more sources

Approximation for the Ratios of the Confluent Hypergeometric Function ΦD(N) by the Branched Continued Fractions

open access: yesAxioms, 2022
The paper deals with the problem of expansion of the ratios of the confluent hypergeometric function of N variables ΦD(N)(a,b¯;c;z¯) into the branched continued fractions (BCF) of the general form with N branches of branching and ...
Roman Dmytryshyn   +2 more
core   +2 more sources

Some Results of Extended Beta Function and Hypergeometric Functions by Using Wiman’s Function

open access: yesMathematics, 2021
The main aim of this research paper is to introduce a new extension of the Gauss hypergeometric function and confluent hypergeometric function by using an extended beta function.
Shilpi Jain   +4 more
doaj   +2 more sources

A Note on Superspirals of Confluent Type

open access: yesMathematics, 2020
Superspirals include a very broad family of monotonic curvature curves, whose radius of curvature is defined by a completely monotonic Gauss hypergeometric function.
Jun-ichi Inoguchi   +2 more
doaj   +2 more sources

Bivariate Extended Confluent Hypergeometric Function Distribution

open access: yesAmerican Journal of Mathematical and Management Sciences, 2013
: In this article, we define a bivariate extended confluent hypergeometric function density in terms of extended confluent hypergeometric function.
Daya K Nagar   +2 more
exaly   +2 more sources

Summation identities for the Kummer confluent hypergeometric function 1F1(a; b;z)

open access: yesKuwait Journal of Science, 2023
The role which hypergeometric functions have in the numerical and symbolic calculation, especially in the fields of applied mathematics and mathematical physics motivated research in this paper.
Gradimir V. Milovanović   +2 more
doaj   +2 more sources

GENERALIZATION OF EXTENDED BETA FUNCTION, HYPERGEOMETRIC AND CONFLUENT HYPERGEOMETRIC FUNCTIONS [PDF]

open access: yesHonam Mathematical Journal, 2011
Summary: The main object of this paper is to present generalization of extended beta function, extended hypergeometric and confluent hypergeometric function introduced by Chaudhry et al. and obtained various integral representations, properties of beta function, Mellin transform, beta distribution, differentiation formulas, transform formulas ...
Rakesh K Parmar, Yong-Sup Kim
exaly   +3 more sources

Exact Expressions for Kullback–Leibler Divergence for Univariate Distributions [PDF]

open access: yesEntropy
The Kullback–Leibler divergence (KL divergence) is a statistical measure that quantifies the difference between two probability distributions. Specifically, it assesses the amount of information that is lost when one distribution is used to approximate ...
Victor Nawa, Saralees Nadarajah
doaj   +2 more sources

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