ORIGINAL_ARTICLE
EFFECTS OF MAGNETIC FIELD ON THE RED CELL ON NUTRITIONAL TRANSPORT IN CAPILLARY-TISSUE EXCHANGE SYSTEM
A mathematical model for nutritional transport in capillary tissues exchange system in thepresence of magnetic field has been studied. In this case, the cell is deformed. Due to concentrationgradients, the dissolved nutrient in substrate diffuses into surrounding tissue. Theanalytical method is based on perturbation technique while the numerical simulation is basedon finite difference scheme. Results concerning the concentration of dissolved nutrients, diffusiveflux, normal component of velocity and skin friction coefficient, indicate that the presenceof magnetic field influences the flow field considerably.
http://ijm2c.iauctb.ac.ir/article_521845_32491d866cf698c454a190043776c94c.pdf
2014-03-21T11:23:20
2019-01-19T11:23:20
1
15
Capillary-Tissue Exchange
Magnetic field
Slip Velocity
Nutrients
Diffusive Flux
Nirmala
P Ratchagar
true
1
India
Professor
Department of Mathematics
Annamalai University
Chidambaram
Tamilnadu
India
India
Professor
Department of Mathematics
Annamalai University
Chidambaram
Tamilnadu
India
India
Professor
Department of Mathematics
Annamalai University
Chidambaram
Tamilnadu
India
AUTHOR
Vijaya
Kumar
true
2
Assistant Professor
Mathematics Section
FEAT
Annamalai University
Chidambaram
Tamilnadu
India
Assistant Professor
Mathematics Section
FEAT
Annamalai University
Chidambaram
Tamilnadu
India
Assistant Professor
Mathematics Section
FEAT
Annamalai University
Chidambaram
Tamilnadu
India
AUTHOR
ORIGINAL_ARTICLE
(\DELTA,\GAMMA, 2)-BESSEL LIPSCHITZ FUNCTIONS IN THE SPACE L_{2,\ALPHA}(R+)
Using a generalized translation operator, we obtain a generalization of Theorem 5 in [4] for the Bessel transform for functions satisfying the (\delta;\gamma ; 2)-BesselLipschitz condition in L_{2;\alpha}(R+).
http://ijm2c.iauctb.ac.ir/article_521846_b14805113b1478f79f37a516031dded3.pdf
2014-03-21T11:23:20
2019-01-19T11:23:20
17
23
Bessel operator
Bessel transform
generalized translation operator
Elhamma
Mohamed
true
1
Morocco
Morocco
Morocco
AUTHOR
Radouan
Daher
true
2
Morocco
Morocco
Morocco
AUTHOR
ORIGINAL_ARTICLE
NUMERICAL SOLUTIONS OF SECOND ORDER BOUNDARY VALUE PROBLEM BY USING HYPERBOLIC UNIFORM B-SPLINES OF ORDER 4
In this paper, using the hyperbolic uniform spline of order 4 we develop the classes of methods for the numerical solution of second order boundary value problems (2VBP) with Dirichlet, Neumann and Cauchy types boundary conditions. The second derivativeis approximated by the three-point central difference scheme. The approximate results, obtained by the proposed method, confirm theconvergence of numerical solutions. Numerical results are given to illustrate the efficiency of our methods.
http://ijm2c.iauctb.ac.ir/article_521847_45a7c9532fe79eb0f3649c9d791c59aa.pdf
2014-03-21T11:23:20
2019-01-19T11:23:20
25
36
Boundary Value Problem
Interpolation
hyperbolic uniform spline
Abdellah
Lamnii
true
1
Faculty of Science and Technology, University Hassan first, Settat, Morocco
Morocco
Faculty of Science and Technology, University Hassan first, Settat, Morocco
Morocco
Faculty of Science and Technology, University Hassan first, Settat, Morocco
Morocco
AUTHOR
ORIGINAL_ARTICLE
SOLVING SINGULAR ODES IN UNBOUNDED DOMAINS WITH SINC-COLLOCATION METHOD
Spectral approximations for ODEs in unbounded domains have only received limited attention. In many applicable problems, singular initial value problems arise. In solving these problems, most of numerical methods have difficulties and often could not pass the singular point successfully. In this paper, we apply the sinc-collocation method for solving singular initial value problems. The ability of the sinc-collocation method in overcoming the singular points difficulties makes it an efficient method in dealing with these equations. We use numerical examples to highlight efficiency of sinc-collocation method in problems with singularity in equations.
http://ijm2c.iauctb.ac.ir/article_521848_a67201140145f8814ff55c65a9752cd8.pdf
2014-03-21T11:23:20
2019-01-19T11:23:20
37
44
Sinc-collocation method
Singular
Initial value problem
linear problems
Nonlinear problems
H.
Pourbashash
true
1
Faculty of Mathematical Scinces, University of Tabriz, Tabriz, Iran.
Iran, Islamic Republic of
Faculty of Mathematical Scinces
Faculty of Mathematical Scinces, University of Tabriz, Tabriz, Iran.
Iran, Islamic Republic of
Faculty of Mathematical Scinces
Faculty of Mathematical Scinces, University of Tabriz, Tabriz, Iran.
Iran, Islamic Republic of
Faculty of Mathematical Scinces
AUTHOR
H.
Kheiri
true
2
Faculty of Mathematical Scinces, University of Tabriz, Tabriz, Iran.
Iran, Islamic Republic of
Faculty of Mathematical Scinces, University of Tabriz, Tabriz, Iran.
Iran, Islamic Republic of
Faculty of Mathematical Scinces, University of Tabriz, Tabriz, Iran.
Iran, Islamic Republic of
AUTHOR
J.
Akbarfam
true
3
Department of Mathematics, University of Florida, Gainesville, FL 32611-8105, USA.
United States
Department of Mathematics, University of Florida, Gainesville, FL 32611-8105, USA.
United States
Department of Mathematics, University of Florida, Gainesville, FL 32611-8105, USA.
United States
AUTHOR
ORIGINAL_ARTICLE
SENSITIVITY ANALYSIS OF EFFICIENT AND INEFFICIENT UNITS IN INTEGER-VALUED DATA ENVELOPMENT ANALYSIS
One of the issues in Data Envelopment Analysis (DEA) is sensitivity and stability region of the
speci c decision making unit (DMU), included ecient and inecient DMUs. In sensitivity
analysis of ecient DMUs,the largest region should be found namely stability region thatdata variations are only for ecient DMU under evaluation and the data for the remainingDMUs are assumed xed. Also ecient DMU under evaluation remains ecient with thesevariations. In sensitivity analysis of inecient DMU, it can obtain an eciency score whichis de ned by the manager. In traditional DEA we assume that all inputs and outputs are realamounts and consider continuous inputs and outputs. Although,there are some applicationsin which one or more inputs and/or outputs can only take integer quantities. In this paper,we obtain the stability region for ecient DMU and the eciency score of a speci c inecientDMU changes to a de ned eciency score by management, with integer data
http://ijm2c.iauctb.ac.ir/article_521849_a47d6c1d22bd1b3d0bde22e6c575b355.pdf
2014-03-21T11:23:20
2019-01-19T11:23:20
45
53
Data Envelopment Analysis (DEA),sensitivity, Integer Data EnvelopmentAnalysis(IDEA)
stability region
decision making unit
Shokoofeh
Banihashemi
true
1
Faculty of Economics, Allameh Tabatabai University
Iran, Islamic Republic of
Academic member of
Department of Mathematics, Computer and Statistics
Faculty of Economics, Allameh Tabatabai University
Iran, Islamic Republic of
Academic member of
Department of Mathematics, Computer and Statistics
Faculty of Economics, Allameh Tabatabai University
Iran, Islamic Republic of
Academic member of
Department of Mathematics, Computer and Statistics
AUTHOR
Ghasem
Tohidi
true
2
Central Branch, Islamic Azad University
Iran, Islamic Republic of
Academic member
Department of Mathematics
Central Branch, Islamic Azad University
Iran, Islamic Republic of
Academic member
Department of Mathematics
Central Branch, Islamic Azad University
Iran, Islamic Republic of
Academic member
Department of Mathematics
AUTHOR
Masoud
Sanei
true
3
Central Branch, Islamic Azad University
Iran, Islamic Republic of
Academic member
Department of Mathematics
Central Branch, Islamic Azad University
Iran, Islamic Republic of
Academic member
Department of Mathematics
Central Branch, Islamic Azad University
Iran, Islamic Republic of
Academic member
Department of Mathematics
AUTHOR
ORIGINAL_ARTICLE
A SIXTH ORDER METHOD FOR SOLVING NONLINEAR EQUATIONS
In this paper, we present a new iterative method with order of convergence eighth for solving nonlinear equations. Periteration this method requires three evaluations of the function and one evaluation of its first derivative. A general error analysis providing the eighth order of convergence is given. Several numerical examples are given to illustrate the efficiency and performance of the new method.
http://ijm2c.iauctb.ac.ir/article_521850_72fa099296cc7d1a8dda9a104e596d28.pdf
2014-03-21T11:23:20
2019-01-19T11:23:20
55
60
Iterative method
Nonlinear equations
Convergence
Numerical examples
Farshid
Mirzaee
true
1
Malayer University
Iran, Islamic Republic of
Malayer University
Iran, Islamic Republic of
Malayer University
Iran, Islamic Republic of
AUTHOR
Afsun
Hamzeh
true
2
Ireland
Ireland
Ireland
AUTHOR
ORIGINAL_ARTICLE
AN ADAPTIVE WAVELET SOLUTION TO GENERALIZED STOKES PROBLEM
In this paper we will present an adaptive wavelet scheme to solvethe generalized Stokes problem. Using divergence free wavelets, theproblem is transformed into an equivalent matrix vector system, thatleads to a positive definite system of reduced size for thevelocity. This system is solved iteratively, where the applicationof the infinite stiffness matrix, that is sufficiently compressible,is replaced by an adaptive approximation. Finally we prove that thisadaptive method has optimal computational complexity, that is itrecovers an approximate solution with desired accuracy at acomputational expense that stays proportional to the number of termsin a corresponding wavelet-best N-term approximation.
http://ijm2c.iauctb.ac.ir/article_521851_07d7eb19aed6b575c6b5b8caab6b0bb0.pdf
2014-03-21T11:23:20
2019-01-19T11:23:20
61
75
Wavelet basis
Riesz basis
Adaptive solution
N-term approximation
Galerkin approximation
Hassan
Jamali
true
1
Vali-e-Asr University of Rafsanjan
Iran, Islamic Republic of
Vali-e-Asr University of Rafsanjan
Iran, Islamic Republic of
Vali-e-Asr University of Rafsanjan
Iran, Islamic Republic of
AUTHOR
Ataollah
Askari Hemmat
true
2
Shahid Bahonar University of Kerman
Iran, Islamic Republic of
Shahid Bahonar University of Kerman
Iran, Islamic Republic of
Shahid Bahonar University of Kerman
Iran, Islamic Republic of
AUTHOR
ORIGINAL_ARTICLE
NUMERICAL APPROACH TO SOLVE SINGULAR INTEGRAL EQUATIONS USING BPFS AND TAYLOR SERIES EXPANSION
In this paper, we give a numerical approach for approximating the solution of second kind Volterra integral equation
with Logarithmic kernel using Block Pulse Functions (BPFs) and Taylor series expansion. Also, error analysis
shows efficiency and applicability of the presented method. Finally, some numerical examples with exact solution
are given.
http://ijm2c.iauctb.ac.ir/article_521852_a61ac76a2a73fbe1391091a056082cd4.pdf
2014-03-21T11:23:20
2019-01-19T11:23:20
77
91
Second kind Volterra integral equation
Logarithmic kernel
Taylor series expansion
Block Pulse Function
Continuous function
Mean value theorem
Ahmad
Shahsavaran
true
1
Iran, Islamic Republic of
Iran, Islamic Republic of
Iran, Islamic Republic of
AUTHOR
Akbar
Shahsavaran
true
2
Iran, Islamic Republic of
Iran, Islamic Republic of
Iran, Islamic Republic of
AUTHOR
Forough
Fotros
true
3
AUTHOR