2009
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SENSITIVITY ANALYSIS IN LINEARPLUSLINEAR FRACTIONAL PROGRAMMING PROBLEMS
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2
In this paper, we study the classical sensitivity analysis when the right  hand – side vector, and the coefficients of the objective function are allowed to vary.
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12


B
Kheirfam
Department of Mathematics Azarbaijan University of Tarbiat Moallem
Department of Mathematics Azarbaijan University
Iran
Sensitivity Analysis
Linear fractional programming
VARIATIONAL ITERATION METHOD FOR FREDHOLM INTEGRAL EQUATIONS OF THE SECOND KIND
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2
In this paper, He‘s variational iteration method is applied to Fredholm integral equations of the second kind. To illustrate the ability and simplicity of the method, some examples are provided. The results reveal that the proposed method is very effective and simple and for first fourth examples leads to the exact solution.
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13
23


J.
Biazar
Department of Mathematics, Faculty of Science, University of Guilan
Department of Mathematics, Faculty of Science,
Iran
jafai.biazar@gmail.com


H.
Ebrahimi
Department of Mathematics, Islamic Azad University, Rasht branch
Department of Mathematics, Islamic Azad University
Iran
variational iteration method
FREDHOLM INTEGRAL EQUATION
Lagrange multiplier
RESTRICTED VARIATION
A NONLINEAR MATHEMATICAL MODEL FOR ASTHMA: EFFECT OF ENVIRONMENTAL POLLUTION
2
2
In this paper, we explore a nonlinear mathematical model to study the spread of asthma due to inhaled pollutants from industry as well as tobacco smoke from smokers in a variable size population. The model is analyzed using stability theory of differential equations and computer simulation. It is shown that with an increase in the level of air pollutants concentration, the asthmatic (diseased) population increases. It is also shown that along with pollutants present in the environment, smoking (active or passive) also helps in the spread of asthma. Moreover, with the increase in the rate of interaction between susceptibles and smokers, the persistence of the spread of asthma is higher. A numerical study of the model is also performed to see the role of certain key parameters on the spread of asthma and to support the analytical results.
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NARESHA
RAM
Department of Mathematics, Harcourt Butler Technological Institute
Kanpur 208002, India
Department of Mathematics, Harcourt Butler
India


Agraj
Tripathi
Department of Mathematics, Bhabha Institute of Technology Aonha, Kanpur209 204, India
Department of Mathematics, Bhabha Institute
India
Pollutants
SMOKERS
Asthma
Stability
LIAPUNOV FUNCTION
Computer Simulation