iosr-Jm   Volume-7 ~ Issue-2

Abstract: The self Help Group (SHG) is group of rural poor who have organized themselves into a group for eradicationof poverty. The members of the group belong to families below the poverty line. This will help the families of occupational groups like agricultural labourers, marginal farmers, designers and artisans marginally above the poverty line, or who may have been excluded from the Below Poverty Line (BPL) list to become members of the Self Help Group. A self help group consists of two categories. One named as magalier thittam and another is non- magalier thittam. The factors of Self help group categories are random in nature. These factors can be handled using stochastic linear programming problem (SLPP). Here the data is collected from Tuticorin district. The optimization technique such as two stage programming and chance constrained programming can be adopted for SLPP. In this paper chance constrained programming (CPP) is used to obtain optimal solution.

Keywords: SLPP, CCP, LP, SHG.

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Computers and Chemical Engineering 32,25-45,2008.
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Abstract:In this paper, we investigated the effects of magnetic field and thermal in Stokes' second problem for unsteady second grade fluid flow through a porous medium. The expressions for the velocity field and the temperature field are obtained analytically. The effects of various pertinent parameters on the velocity field and temperature field are studied through graphs in detail.

Keywords: Thermal Effects, Fluid Flow, Porous Medium, Magnetic field.r

[1] L. Ai and K. Vafai, An investigation of stokes' second problem for non-Newtonian fluids, Numerical Heat Transfer, Part A, 47(2005), 955-980.

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[3] S. Asghar, T. Hayat and A.M. Siddiqui, Moving boundary in a non-Newtonian fluid, Int. J. Nonlinear Mech., 37(2002), 75 - 80.

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Abstract:Experts in the mathematical modeling for two interacting technologies have observed the different contributions between the intraspecific and the interspecific coefficients in conjunction with the starting population sizes and the trading period. In this complex multi-parameter system of competing technologies which evolve over time, we have used the numerical method of mathematical norms to measure the sensitivity values of the intraspecific coefficients b and e, the starting population sizes of the two interacting technologies and the duration of trading. We have observed that the two intraspecific coefficients can be considered as most sensitive parameter while the starting populations are called least sensitive. We will expect these contributions to provide useful insights in the determination of the important parameters which drive the dynamics of the technological substitution model in the context of one-at-a-timesensitivity analysis.

Keywords: Sensitivity Analysis, Mathematical Model, Interacting Technologies.

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[5] S. A. Morris, David Pratt, Analysis of the Lotka-Volterra Competition Equations as a Technological Substitution Model. Technological Forecasting and Social change 70(2003) 103-133.

[6] E. N. Ekaka-a, Computational and Mathematical Modelling of Plant Species Interactionsin a Harsh Climate, PhD Thesis, Department of Mathematics, The University of Liverpool and The University of Chester, United Kingdom, 2009.