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Project Topic:
SUCCESSIVE APPROXIMATION METHOD FOR FIRST ORDER PDE USING PICARD
Project Information:
Project Body:
CHAPTER ONE
INTRODUCTION
- BACKGROUND OF THE STUDY
Engineering problems can be mathematically described by differential equations. Many initial and boundary value problems associated with differential equations can be transformed into problems of solving some approximate integral equations.
Heat transfer is described by theory of integral equations. Integral equation arising in heat transfer with smooth condition is valid for continuous media. The common methods for solving the equations of heat transfer are purely mathematical are among them; the finite difference techniques (FDT) [5], the regression analysis (RA) [6], the Adomian decomposition method (ADM) [7], the combined Laplace-Adomian method (CLAM) [8], the homotopy analysis method (HAM) [9, 10], the differential transformation method (DTM) [11], the spline-wavelets techniques (SWT) [12], the boundary element method (BEM) [13], the heatbalance integral method (HBIM) [14, 15], the variational iteration method (VIM) [16], the local fractional variational iteration method (LFVIM) [17], and the Picard successive approximation method (PSAM) [18]. On the other hand, the nanoscale heat problem can be characterized as fractal behaviors. As usual, the materials are called the Cantor materials. Heat transfer in fractal media with nonsmooth conditions is a hot topic.
For example, the heat transfer equations in a medium with fractal geometry [19] and fractal domains [20] were considered. The local fractional transient heat conduction equations based upon the Fourier law within local fractional derivative arising in heat transfer from discontinuous media were presented in [21–24].
First order initial value problems of the y’ (x) = f(x, y(x)), y(x0)), y(x0) = y0 can be rewritten as an integral
Y(x) = y0 +