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Lecture 14 LU Decomposition

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Title: Lecture 14 LU Decomposition


1
Lecture 14LU Decomposition
  • March 1, 2001
  • CVEN 302

2
Lectures Goals
  • Iterative methods using a scalar gradient
    techniques
  • LU Methods

3
LU Decomposition
  • A modification of the elimination method, called
    the LU decomposition. The technique will rewrite
    the matrix as the product of two matrices.
  • A LU

4
LU Decomposition
  • The technique breaks the matrix into a product of
    two matrices, L and U, L is a lower triangular
    matrix and U is an upper triangular matrix.

5
LU Decomposition
  • There are variation of the technique using
    different methods.
  • Couts reduction (U has ones on the diagonal)
  • Doolittles method( L has ones on the diagonal)
  • Choleskys method ( The diagonal terms are the
    same value for the L and U matrices)

6
LU Decomposition
  • The matrices are represented by

7
Equation Solving
  • What is the advantage of breaking up one linear
    set into two successive ones?
  • The advantage is that the solution of triangular
    set of equations is trivial to solve.

8
Equation Solving
  • First step - forward substitution

9
Equation Solving
  • Second step - back substitution

10
LU Decomposition (Couts reduction)
  • Matrix decomposition

11
Couts Reduction
  • The method alternates from solving from the lower
    triangular to the upper triangular

12
Couts Reduction
  • Second step through the reduction

13
General formulation of Couts
  • These are the general equations for the
    component of the two matrices

14
Example
  • The matrix is broken into a lower and upper
    triangular matrices.

15
LU Decomposition (Doolittles method)
  • Matrix decomposition

16
Doolittes method
  • The method alternates from solving from the upper
    triangular to the lower triangular

17
General formulation of Doolittles
  • The problem is reverse of the Couts reduction,
    starting with the upper triangular matrix and
    going to the lower triangular matrix.

18
Example
  • The matrix is broken into a lower and upper
    triangular matrices.

19
Choleskys method
  • Matrix is decomposed into
  • where, lii uii

20
Cholesky Method
  • The method does not alternate but does it from
    outside rows in.

21
Choleskys Method
  • The second row in.

22
Choleskys Method
  • General method

23
Example
  • The matrices can contain imaginary values.

24
Tridiagonal Matrix
  • For a banded matrix using Dolittles method, i.e.
    a tridiagonal matrix.

25
Tridiagonal LU Decomposition
  • The tridiagonal solver first step
  • The second step

26
Tridiagonal LU Decomposition
  • The tridiagonal solver for LU decomposition
    breaks down into form

27
Tridiagonal LU Decomposition
  • The tridiagonal solver for LU decomposition
    breaks down into form

28
Summary
  • LU Decomposition.
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