Journal of Prime Research in Mathematics

Journal of Prime Research in Mathematics (JPRM) ISSN: 1817-3462 (Online) 1818-5495 (Print) is an HEC recognized, Scopus indexed, open access journal which provides a plate forum to the international community all over the world to publish their work in mathematical sciences. JPRM is very much focused on timely processed publications keeping in view the high frequency of upcoming new ideas and make those new ideas readily available to our readers from all over the world for free of cost. Starting from 2020, we publish one Volume each year containing two issues in June and December. The accepted papers will be published online immediate in the running issue. All issues will be gathered in one volume which will be published in December of every year.

Latest Published Articles

Numerical solutions of the fractional SIS epidemic model via a novel technique

JPRM-Vol. 16 (2020), Issue 2, pp. 44 – 55 Open Access Full-Text PDF
Ali Khalouta, Abdelouahab Kadem
Abstract: This article introduces a novel technique called modified fractional Taylor series method (MFTSM) to find numerical solutions for the fractional SIS epidemic model. The fractional derivative is considered in the sense of Caputo. The most important feature of the MFTSM is that it is very effective, accurate, simple, and more computational than the methods found in literature. The validity and effectiveness of the proposed technique are investigated and verified through numerical example.
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A new efficient method for time-fractional Sine-Gordon equation with the Caputo and Caputo-Fabrizio operators

JPRM-Vol. 16 (2020), Issue 2, pp. 27 – 43 Open Access Full-Text PDF
Ali Khalouta, Abdelouahab Kadem
Abstract: In this work, a new efficient method called, Elzaki’s fractional decomposition method (EFDM) has been used to give an approximate series solutions to time-fractional Sine-Gordon equation. The time-fractional derivatives are described in the Caputo and Caputo-Fabrizio sense. The EFDM is based on the combination of two different methods which are: the Elzaki transform method and the Adomian decomposition method. To demonstrate the accuracy and efficiency of the proposed method, a numerical example is provided. The obtained results indicate that the EFDM is simple and practical for solving the fractional partial differential equations which appear in various fields of applied sciences.
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The new auxiliary method in the solution of the generalized Burgers-Huxley equation

JPRM-Vol. 16 (2020), Issue 2, pp. 16 – 26 Open Access Full-Text PDF
Muhammad Asim Khan, M. Ali Akbar, Norhashidah Hj. Mohd. Ali, Muhammad Abbas
Abstract: A recently developed direct method known as the new auxiliary method shown significant improvement for solving non-leaner partial differential equations (PDEs) and gives more exact solutions compared to the traditional direct method. In this paper, we used the new auxiliary method for solitary wave solutions of the generalized Burgers Huxley equation (B-HE). The new auxiliary method is a very powerful, felicitous, effective method to get solitary wave solutions of PDEs.
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Zagreb connection indices of disjunction and symmetric difference operations on graphs

JPRM-Vol. 16 (2020), Issue 2, pp. 1 – 15 Open Access Full-Text PDF
Usman Ali, M. Javaid
Abstract: In this paper, we compute the general results in the form of the upper bounds of the Zagreb indices based on connection number called as first Zagreb connection index, second Zagreb connection index and modified first Zagreb connection index for the resultant graphs which are obtained by applying the product-related operations such as disjunction (co-normal product) and symmetric difference. At the end, some applications of the obtained results with a comparison between exact and computed values of the aforesaid Zagreb connection indices for the particular classes of alkanes are also included.
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A general family of derivative free with and without memory root finding methods

JPRM-Vol. 16 (2020), Issue 1, pp. 64 – 83 Open Access Full-Text PDF
Saima Akram, Fiza Zafar, Moin-ud-Din Junja, Nusrat Yasmin
Abstract: In this manuscript, we construct a general family of optimal derivative free iterative methods by using rational interpolation. This family is further extended to a family of with-memory methods with increased order of convergence by employing two free parameters. At each iterative step, we use a suitable variation of the free parameters. These parameters are computed by using the information from current and previous iterations so that the convergence order of the existing family is increased from \(2^{n}\) to \(2^{n}+2^{n-1}+2^{n-2}\) without using any additional function evaluations. To check the performance of newly developed iterative schemes with and without memory, an extensive comparison with the existing with- and without memory methods is done by taking some real world problems and standard nonlinear functions. Numerical experiments illustrate that the proposed family of methods with-memory retain better computational efficiency and fast convergence speed as compared to existing with- and without memory methods. The performance of the methods is also analyzed visually by using complex plane. Numerical and dynamical comparisons confirm that the proposed families of with and without memory methods have better efficiency, convergence regions and speed in contrast with the existing methods of the same kind.
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On the generalized class of estimators for estimation of finite population mean in the presence of non-response problem

JPRM-Vol. 16 (2020), Issue 1, pp. 52 – 63 Open Access Full-Text PDF
Saba Riaz, Amna Nazeer, Javeria Abbasi, Sadia Qamar
Abstract: This work considers a generalized class of biased estimators for the estimation of the unknown population mean of the variable of interest accompanying the issue of non-response in the study and in the auxiliary variables. The asymptotic bias and the asymptotic variance of the suggested class are acquired, up to the first degree of approximation and, compared with the linear regression estimator. The efficiency of the suggested estimators while comparing with the linear regression estimator and some other existing estimators are studied regarding percent relative efficiency (PRE). Furthermore, a simulation study also affirms the excellence of the considered class of estimators.
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Volume 17 (2021)

Volume 16 (2020)

Volume 15 (2019)

Volume 14 (2018)

Volume 13 (2017)

Volume 12 (2016)

Volume 11 (2015)

Volume 10 (2014)

Volume 09 (2013)

Volume 08 (2012)

Volume 07 (2011)

Volume 06 (2010)

Volume 05 (2009)

Volume 04 (2008)

Volume 03 (2007)

Volume 02 (2006)

Volume 01 (2005)