• 제목/요약/키워드: generalized functions

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RADII PROBLEMS FOR THE GENERALIZED MITTAG-LEFFLER FUNCTIONS

  • Prajapati, Anuja
    • 대한수학회지
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    • 제57권4호
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    • pp.1031-1052
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    • 2020
  • In this paper our aim is to find various radii problems of the generalized Mittag-Leffler function for three different kinds of normalization by using their Hadamard factorization in such a way that the resulting functions are analytic. The basic tool of this study is the Mittag-Leffler function in series. Also we have shown that the obtained radii are the smallest positive roots of some functional equations.

A CHANGE OF SCALE FORMULA FOR ENERALIZED WIENER INTEGRALS

  • Kim, Byoung Soo;Song, Teuk Seob;Yoo, Il
    • 충청수학회지
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    • 제24권3호
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    • pp.517-528
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    • 2011
  • Cameron and Storvick introduced change of scale formulas for Wiener integrals of bounded functions in the Banach algebra $\mathcal{S}$ of analytic Feynman integrable functions on classical Wiener space. Yoo and Skoug extended this result to an abstract Wiener space. Also Yoo, Song, Kim and Chang established a change of scale formula for Wiener integrals of functions on abstract Wiener space which need not be bounded or continuous. In this paper, we investigate a change of scale formula for generalized Wiener integrals of various functions on classical Wiener space.

STRONG DIFFERENTIAL SUBORDINATION AND SUPERORDINATION OF NEW GENERALIZED DERIVATIVE OPERATOR

  • OSHAH, ANESSA;DARUS, MASLINA
    • Korean Journal of Mathematics
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    • 제23권4호
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    • pp.503-519
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    • 2015
  • In this work, certain classes of admissible functions are considered. Some strong dierential subordination and superordination properties of analytic functions associated with new generalized derivative operator $B^{{\mu},q,s}_{{\lambda}_1,{\lambda}_2,{\ell},d}$ are investigated. New strong dierential sandwich-type results associated with the generalized derivative operator are also given.

Generalized Weighted Linear Models Based on Distribution Functions

  • Yeo, In-Kwon
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2003년도 추계 학술발표회 논문집
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    • pp.161-166
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    • 2003
  • In this paper, a new form of generalized linear models is proposed. The proposed models consist of a distribution function of the mean response and a weighted linear combination of distribution functions of covariates. This form addresses a structural problem of the link function in the generalized linear models. Markov chain Monte Carlo methods are used to estimate the parameters within a Bayesian framework.

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MIXED TYPE DUALITY FOR A PROGRAMMING PROBLEM CONTAINING SUPPORT FUNCTION

  • Husain, I.;Jabeen, Z.
    • Journal of applied mathematics & informatics
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    • 제15권1_2호
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    • pp.211-225
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    • 2004
  • A mixed type dual to a programming problem containing support functions in a objective as well as constraint functions is formulated and various duality results are validated under generalized convexity and invexity conditions. Several known results are deducted as special cases.

${L_{1:1}}^\beta$(t) IN TERMS OF A GENERALIZED MEASURE OF ENTROPY

  • Hooda, D.S.;Ram, Anant
    • Journal of applied mathematics & informatics
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    • 제5권1호
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    • pp.201-212
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    • 1998
  • In the present paper we define the codes which assign D-alphabet one-one codeword to each outcome of a random variable and the functions which represent possible transormations from one-one codes of size D to suitable codes. By using these functions we obtain lower bounds on the exponentiated mean codeword length for one-one codes in terms of the generalized entropy of order $\alpha$ and type $\beta$ and study the particular cases also.

NEW INFORMATION INEQUALITIES ON ABSOLUTE VALUE OF THE FUNCTIONS AND ITS APPLICATION

  • CHHABRA, PRAPHULL
    • Journal of applied mathematics & informatics
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    • 제35권3_4호
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    • pp.371-385
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    • 2017
  • Jain and Saraswat (2012) introduced new generalized f-information divergence measure, by which we obtained many well known and new information divergences. In this work, we introduce new information inequalities in absolute form on this new generalized divergence by considering convex normalized functions. Further, we apply these inequalities for getting new relations among well known divergences, together with numerical verification. Application to the Mutual information is also presented. Asymptotic approximation in terms of Chi- square divergence is done as well.

PARAMETRIC DUALITY MODELS FOR DISCRETE MINMAX FRACTIONAL PROGRAMMING PROBLEMS CONTAINING GENERALIZED(${\theta},{\eta},{\rho}$)-V-INVEX FUNCTIONS AND ARBITRARY NORMS

  • Zalmai, G.J.
    • Journal of applied mathematics & informatics
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    • 제24권1_2호
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    • pp.105-126
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    • 2007
  • The purpose of this paper is to construct several parametric duality models and prove appropriate duality results under various generalized (${\theta},{\eta},{\rho}$)-V-invexity assumptions for a discrete minmax fractional programming problem involving arbitrary norms.

GLOBAL PARAMETRIC SUFFICIENT OPTIMALITY CONDITIONS FOR DISCRETE MINMAX FRACTIONAL PROGRAMMING PROBLEMS CONTAINING GENERALIZED $({\theta},\;{\eta},\;{\rho})-V-INVEX$ FUNCTIONS AND ARBITRARY NORMS

  • Zalmai, G.J.
    • Journal of applied mathematics & informatics
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    • 제23권1_2호
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    • pp.1-23
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    • 2007
  • The purpose of this paper is to develop a fairly large number of sets of global parametric sufficient optimality conditions under various generalized $({\theta},\;{\eta},\;{\rho})-V-invexity$ assumptions for a discrete minmax fractional programming problem involving arbitrary norms.