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Department of Mathematics Numerical Solutions to Partial Differential Equations Ch 12. Applied mathematics. Korea University.

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Presentation on theme: "Department of Mathematics Numerical Solutions to Partial Differential Equations Ch 12. Applied mathematics. Korea University."— Presentation transcript:

1 Department of Mathematics Numerical Solutions to Partial Differential Equations Ch 12. Applied mathematics. Korea University.

2 Department of Mathematics Elliptic Partial Differential Equations Ch12.1 Index Parabolic Partial Differential Equations Ch 12.2 Hyperbolic Partial Differential Equations Ch 12.3 An Introduction to the Finite-Element Mothod Ch 12.4

3 Department of Mathematics  Elliptic Partial Differential Equations : poisson equation  Parabolic Partial Differential Equations : Heat, diffusion equation  Hyperbolic Partial Differential Equations : wave equation

4 Department of Mathematics Ch 12.1 Elliptic Partial Differential Eqeations  Poisson equation

5 Department of Mathematics Using Taylor series in the variable about

6 Department of Mathematics Poisson equation at the points Boundary condition

7 Department of Mathematics Finite – Difference method with truncation error of order Boundary condition

8 Department of Mathematics

9 Ch 12.2 Parabolic Partial Differential Eqeations  Parabolic partial differential equation : boundary condition : initial condition

10 Department of Mathematics Using Taylor series in

11 Department of Mathematics boundary condition initial condition : local truncation error

12 Department of Mathematics let : initial condition : Forward Difference method

13 Department of Mathematics is made in representing the initial data If At n-th time step the error in is. The method is stable The Forward Difference method is therefore stable only if

14 Department of Mathematics : eigenvalues of A or The Forward Difference method is conditionally stable with rate of convergence

15 Department of Mathematics To obtain a method that is unconditionally stable : Backward-Difference method where

16 Department of Mathematics The matrix representation

17 Department of Mathematics : eigenvalues of A At n-th time step the error in is. The Backward-Difference method is unconditionally stable method. The local truncation error for method is of order. Richardson’s method

18 Department of Mathematics Crank-Nicolson method : Forward-Difference method at j-th step in : local truncation error : Backward-Difference method at (j+1)th step in : local truncation error Assume that average – difference method

19 Department of Mathematics The matrix representation where

20 Department of Mathematics Ch 12.3 Hyperbolic Partial Differential Eqeations  Hyperbolic partial differential equation

21 Department of Mathematics Using centered-difference quotient

22 Department of Mathematics

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25 Ch 12.4 An Introduction to Finite- Element Method boundary condition

26 Department of Mathematics Polynomials of linear type in and

27 Department of Mathematics

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29 linear system

30 Department of Mathematics

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