# NMIM

AcronymDefinition
NMIMNational Mobile Inventory Model (software; US EPA)
NMIMNarsee Monjee Institute of Management (Mumbai, India)
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The systems of nonlinear equations are then solved by using the proposed iterative method NMIM. In most of the problems, we use vector 0 with initial and boundary conditions introduced in it as the initial guess.
Table 5 gives the norm of the residue in the solution of the nonlinear systems by a single iteration of NMIM with varying m.
We considered several values of [alpha], values [theta] = -1/2 and [phi] = -1/2 for the parameters of J-GL-C, 50 grid points, and solved the resulting system of nonlinear equations using a single application of NMIM with varying m.
For problems 1, 2, and 4 NMIM does not converge with that initial guess and we made the initial guess smoother.
Tables 9, 10,11, and 12 give the norm of the error in the solution when the nonlinear system of equations is solved using a single application of NMIM with varying m.
We set the parameters c = 1, y = 1, v = 0.5, and k = 0.5, picked up the domain (x, t) [member of] [-10, 10] x [0, 1], and solved the nonlinear system of equations by a single application of NMIM with initial guess u = 0, with the boundary conditions introduced.
We took a domain (x, y, t) [member of] [-1, 1] x [-1, 1] x [0,2] and solved the system of nonlinear equations using a single application of NMIM with initial guess u = 0 with the initial and boundary conditions introduced.
We took a domain(x, y, z, t) [member of] [0, 1] x [0, 1]x [0 , 1] x [0 , 1] and solved the system of nonlinear equations using a single application of NMIM with initial guess u = 0 and with initial and boundary conditions introduced.
We took a domain (x, y, z) e [0, 1] x [0, 1] x [0, 1] and solved the system of nonlinear equations using a single application of NMIM with initial guess u = 0 and with initial and boundary conditions introduced.
The achieved numerical accuracy after 1 and 2 application of NMIM is shown in Table 21.
The claimed order of convergence of NMIM has been confirmed computationally by solving several small systems of nonlinear equations.
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