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Finite Difference Method for Solving Differential Equations

Finite Difference Method for Solving Differential Equations

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matrix form as . 2 × × = − − − − 0 9.375 10 9.375 10 0 0 0 0 1 0032020 .0016 0.0016 0.003202 0.0016 0 1 0 4 4 4 3 1 y y y y. The above equations have a coefficient matrix that is tridiagonal (we can use Thomas’ algorithm to solve the equations) and is also strictly diagonally dominant (convergence is guaranteed if we use iterative ...

  Differences, Matrix, Algorithm, Finite, Finite difference, Tridiagonal

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