Applied and Computational Mathematics

Special Issue

New Orientations in Applied and Computational Mathematics

  • Submission Deadline: Dec. 30, 2014
  • Status: Submission Closed
  • Lead Guest Editor: Snehanshu Saha
About This Special Issue
An increasing interest in analyzing and modeling high-dimensional data, both static and dynamic, and handling very large data sets in multiple scientific domains has led to an increased flow of ideas between applied mathematics, statistics, and computation. A synergy is emerging among fields such as statistical modeling of high-dimensional data, parameter estimation, optimization, machine learning, dynamical systems, numerical methods, and computational mathematics. One aspect of the development is the rapid convergence of research interests between Statistics and Computer Science. Sophisticated mathematical tools are increasingly used to develop new models, modify existing ones, and analyze system performance. Therefore, this special issue focuses on new orientations in Applied and Computational Mathematics. We invite researchers to submit original research articles on current state-of-the-art theories and techniques in this field.
Lead Guest Editor
  • Snehanshu Saha

    Department of Computer Science and Engineering, People's Education Society Institute of Technology, Bangalore South Campus, Bangalore, India

Guest Editors
  • Harendra Kumar

    Department of Mathematics and Statistics, Gurukula Kangari University, Haridwar, India

  • E. Alvarz Verdejo

    Department of Methods for Economics and Business, University of Granada, Granada, Spain

  • Zhaorui Li

    Computational Physics and Methods Division (Ccs-2), Los Alamos National Laboratory, Los Alamos, United States

  • Sunil Kumar

    Department of Mathematics, National Institute of Technology, Jamshedpur, India

  • Cristina Caridade

    Department of Physics and Mathematics, Coimbra Institute of Engineering, Polytechnic Institute of Coimbra, Coimbra, Portugal

  • Lukasz Glinka

    American Association of International Researchers under Natural Science Forum (Membership NS-AAIR-1011, 2014-present), American Research Institute for Policy Development, New York, United States

  • Fateme Ghomanjani

    Internal and Preventive Medicine, College of Veterinary Medicine, Mosul University, Mosul, Iran

  • Petr Belov

    Moscow State University after Bauman, Москва, Russian Federation

  • Hai Zhang

    School of Mathematics and Computation Science, Anqing Normal University, Anqing, China

  • Onur Alp Ilhan

    Mathematics Department, Erciyes University, Kayseri, Turkey

  • lugen zake

    University of Mosul, Iraq

  • lugen zake

    University of Mosul, Mosul, Iraq

  • Asif Ekbal

    Department of Computer Science and Engineering, Indian Institute Of Technology Patna, Patna, India

  • Mahmoud Farag

    Mathematics and Statistics Department, Minia University, Cairo, Egypt

  • Taha Abdel Wahid

    Basic Sciences Department, ELGazeera High Institute for Engineering and Technology, Cairo, Egypt

  • Rahul Banerjee

    Department Of Mathematics, St. Paul's Cathedral Mission College, Kolkata, India

  • Mohammed O. Al-Amr

    Department of Mathematics, College of Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq

  • Mahboubeh Molavi-Arabshahi

    Marine Science Department, Iranian National Institute for Oceanography & Atmospheric science (INIOAS), Tehran, Iran

Published Articles
  • Comparison between Finite Volume Method (FVM) Based on Inviscid and Viscous Flow with Experimental and Fluent Results

    Abobaker Mohammed Alakashi , Bambang Basuno , Hasan Taher. M. Elkamel

    Issue: Volume 4, Issue 1-1, January 2015
    Pages: 12-17
    Received: Jan. 04, 2015
    Accepted: Jan. 26, 2015
    Published: Feb. 09, 2015
    DOI: 10.11648/j.acm.s.2015040101.13
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    Abstract: The Finite Volume Method (FVM) is currently the most popular method in CFD. The main reason is that it can resolve some of the difficulties that the other methods have. Finite volume methods are a class of discretization schemes that have proven highly successful in approximating the solution of a wide variety of conservation law systems [1]. Finit... Show More
  • Implicit Runge-Kutta Method for Van Der Pol Problem

    Jafar Biazar , Meysam Navidyan

    Issue: Volume 4, Issue 1-1, January 2015
    Pages: 6-11
    Received: Jun. 07, 2014
    Accepted: Jun. 25, 2014
    Published: Jul. 13, 2014
    DOI: 10.11648/j.acm.s.2015040101.12
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    Abstract: In this manuscript the implicit Runge-Kutta (IRK) method, with three slopes of order five has been explained, and is applied to Van der pol stiff differential equation. Truncation error, of order five, has been estimated. Stability of the procedure for the Van der pol equation, is analyzed by the Lyapunov method. To illustrate the structure of the... Show More
  • 3D Goursat Problem in the Non-Classical Treatment for Manjeron Generalized Equation with Non-Smooth Coefficients

    Ilgar Gurbat oglu Mamedov

    Issue: Volume 4, Issue 1-1, January 2015
    Pages: 1-5
    Received: Apr. 21, 2014
    Accepted: Jun. 22, 2014
    Published: Jun. 30, 2014
    DOI: 10.11648/j.acm.s.2015040101.11
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    Abstract: In this paper substantiated for a Manjeron generalized equation with non-smooth coefficients a three dimensional Goursat problem -3D Goursat problem with non-classical boundary conditions is considered, which requires no matching conditions. Equivalence of these conditions three dimensional boundary condition is substantiated classical, in the case... Show More