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The chapter delves into the various domains of influence and dependence pertaining to elliptic, parabolic, and hyperbolic partial differential equations. It further categorizes physical problems into equilibrium, propagation, and Eigen problems, highlighting the significance of boundary conditions in solving these equations. A pivotal technique discussed is the finite difference method, which approximates differential equations via truncated Taylor series, providing insights into analytical versus numerical solutions.
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3.3
Analytical Vs Numerical Solution
This section discusses the differences between analytical and numerical solutions in the context of partial differential equations (PDEs), emphasizing their applications across various types of PDEs including elliptic, parabolic, and hyperbolic equations.
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Term: Elliptic Partial Differential Equation
Definition: A type of PDE where the solution domain is both the domain of dependence and the range of influence for every point.
Term: Finite Difference Method
Definition: A numerical technique used to approximate solutions of differential equations by replacing continuous information with discrete values using Taylor series.
Term: Eigen Problems
Definition: Problems in which the solution exists only for specific values of parameters known as Eigen values.