RUBEN DARIO ARISMENDI RUEDA
CHAPTER 4: ‘Iterative Methods to solve lineal ecuation systems’
There are some kinds of Methods that are used to solve this lineal systems. 1- THOMAS 2-CHOLESKY
THOMAS. This method is used with a special kind of Matrix that has this form. This is a special kind of matrix that has all it’s elements cero except that ones shown in the last picture.
THIS METHOD WILL BE MORE CLEAR IF IS EXPLAINED WITH AN EXAMPLE. Basically this method uses the LU factorization.  EXAMPLE. MATRIX  ‘A’ R
THEN  L*U=A MATRIX ‘L’ MATRIX ‘U’
L*D=R; By simple substitution the vector D is found. MATRIX ‘L’ * = D R
U*X=D; By simple substitution the vector ‘X’ is found and the system will be solved. MATRIX ‘U’ * = X D
SOLUTION
2-CHOLESKY. When is a simetric and definide matrix Then
To find the values of the matrix . The next expression is the result of the product  between the n-file of L  and the n-column of  L T   The next expression is the result of the product  between the n-file of L  and the (n-1)column of  L T
EXAMPLE To understand this method, it will be easier with an example, that show how the Cholesky decomposition is made. MATRIX  ‘A’ 6 15 55 15 55 225 55 225 979
(k=1) 2. (k=2)
3.  (k=3) and (i=1) (k=3) and (i=2)
Cholesky decomposition is  L  = 2,4495 6,1237 4,1833 22,454 20,916 6,1106
Bibliography: Numerical Methods for Engineers . Steven C. Chapra Prf. Eduardo Carrillo's presentation ''METODOS NUMERICOS EN INGENIERIA DE PETROLEOS''.

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Special methods

  • 2. CHAPTER 4: ‘Iterative Methods to solve lineal ecuation systems’
  • 3. There are some kinds of Methods that are used to solve this lineal systems. 1- THOMAS 2-CHOLESKY
  • 4. THOMAS. This method is used with a special kind of Matrix that has this form. This is a special kind of matrix that has all it’s elements cero except that ones shown in the last picture.
  • 5. THIS METHOD WILL BE MORE CLEAR IF IS EXPLAINED WITH AN EXAMPLE. Basically this method uses the LU factorization. EXAMPLE. MATRIX ‘A’ R
  • 6. THEN L*U=A MATRIX ‘L’ MATRIX ‘U’
  • 7. L*D=R; By simple substitution the vector D is found. MATRIX ‘L’ * = D R
  • 8. U*X=D; By simple substitution the vector ‘X’ is found and the system will be solved. MATRIX ‘U’ * = X D
  • 10. 2-CHOLESKY. When is a simetric and definide matrix Then
  • 11. To find the values of the matrix . The next expression is the result of the product between the n-file of L and the n-column of L T The next expression is the result of the product between the n-file of L and the (n-1)column of L T
  • 12. EXAMPLE To understand this method, it will be easier with an example, that show how the Cholesky decomposition is made. MATRIX ‘A’ 6 15 55 15 55 225 55 225 979
  • 14. 3. (k=3) and (i=1) (k=3) and (i=2)
  • 15. Cholesky decomposition is L = 2,4495 6,1237 4,1833 22,454 20,916 6,1106
  • 16. Bibliography: Numerical Methods for Engineers . Steven C. Chapra Prf. Eduardo Carrillo's presentation ''METODOS NUMERICOS EN INGENIERIA DE PETROLEOS''.