SlideShare a Scribd company logo
1 of 11
Download to read offline
ESCUELA DE INGENIERÍA DE PETROLEOS




DIRECT METHODS FOR THE
SOLUTION OF SYSTEMS OF
LINEAR EQUATIONS

NORAIMA ZARATE GARCIA
COD: 2073173
ING. DE PETROLEOS




                        NUMERICAL METHODS IN ING. PETROLEUM
ESCUELA DE INGENIERÍA DE PETROLEOS




                                LU DECOMPOSITION
Its name is derived from the English words "Lower" and "Upper", which in Spanish
translates as "Lower" and "Superior." Studying the process followed in the LU
decomposition is possible to understand the reason for this name analyzing how an
original matrix is decomposed into two triangular matrices, an upper and lower.

LU Decomposition involves only operations on the coefficient matrix [A], providing an
efficient means to calculate the inverse matrix or solving systems of linear algebra. First
you must obtain the matrix [L] and matrix [U]

[L] is a diagonal matrix with numbers less than 1 on the diagonal. [U] is an upper diagonal
matrix on the diagonal which does not necessarily have to be number one.

 The first step is to break down or transform [A] [L] and [U], ie to obtain the lower
triangular matrix [L] and the upper triangular matrix [U]




                                                  NUMERICAL METHODS IN ING. PETROLEUM
ESCUELA DE INGENIERÍA DE PETROLEOS




              STEPS TO FIND THE UPPER TRIANGULAR MATRIX [U]


.Hacer zero all values below the pivot without turning this into a.
Achieve the above.

 .In order is required to obtain a factor which is necessary to convert values to zero
below the pivot.

.Dicho factor is equal to the number you want to make the number zero pivot.

 This factor multiplied by -1 is then multiplied by the pivot and this result is added value
that is in the position to change (the value in the position to become zero). That is:

- factor * pivot + position changes




                                                 NUMERICAL METHODS IN ING. PETROLEUM
ESCUELA DE INGENIERÍA DE PETROLEOS



         STEPS TO FIND THE LOWER TRIANGULAR MATRIX [L]

To find the lower triangular matrix seeks to zero values above each pivot, as well as become
an every pivot. It uses the same concept of "factor" described above and are located all the
"factors" below the diagonal as appropriate for each.



 Esquematicamnete seeks the following:




                                               NUMERICAL METHODS IN ING. PETROLEUM
ESCUELA DE INGENIERÍA DE PETROLEOS



                 STEPS TO SOLVE A SYSTEM OF EQUATIONS
                 BY THE LU DECOMPOSITION METHOD


1.Obtener lower triangular matrix L and upper triangular matrix U.

2.Resolver Ly = b (to find y).

3.The result of previous step is saved in a new array named "y".

4.Realizar Ux = y (to find x).

5.The result of previous step is stored in a new array called "x",
which provides the values for the unknowns of the equation


                                      NUMERICAL METHODS IN ING. PETROLEUM
ESCUELA DE INGENIERÍA DE PETROLEOS



                     METHOD OF THOMAS

This method emerges as a simplification of an LU factorization of a tridiagonal
matrix.




 It follows that:




                                        NUMERICAL METHODS IN ING. PETROLEUM
ESCUELA DE INGENIERÍA DE PETROLEOS



                               CHOLESKY FACTORIZATION



The method of Cholesky factorization is applied to positive definite matrices where the
system Ax = b can be written as L (LTX) = b where L is a lower triangular matrix and its
transpose Lt; be replaced LTX = y and solve the lower triangular system Ly = b by forward
substitution obtained and then resolve the upper triangular system LTX = y by back
substitution process.
This method is unique in that each pivot element is obtained by calculating the square root of
lii, lii where is the diagonal element of L which is in row i, column i.




                                                   Ax  b
  U L           T
                                              LL x  b
                                                    T


                                                NUMERICAL METHODS IN ING. PETROLEUM
ESCUELA DE INGENIERÍA DE PETROLEOS


                 L
                                                                            LT
 L11                                                  L11 L21  Ln 2,1     Ln 1,1    Ln,1 
L         L22                                             L22  Ln 2, 2 Ln 1, 2 Ln, 2 
 21                                                                                           
                                                                                   
                                                                                             
 Ln 2,1 Ln 2, 2    Ln 2,n 2                                Ln 2,n 2 Ln 1,n 2 Ln,n 2 
 Ln 1,1 Ln 1, 2    Ln 1,n 2 Ln 1,n 1                                Ln 1,n 1 Ln,n 1 
                                                                                              
 Ln,1 Ln, 2
                     Ln,n 2 Ln,n 1          Ln,n  
                                                                                        Ln,n  

                           a11      a12        a1,n 2     a1,n1     a1,n 
                          a         a22        a2,n 2 a2,n1 a2,n 
                                                                                   A =LLT
                           21                                                 
                                                                     
                                                                             
                          an 2,1 an 2, 2     an 2,n 2 an 2,n 1 an 2,n 
                           an 1,1 an 1, 2    an 1,n 2 an 1,n 1 an 1,n 
                                                                              
                           an,1 an, 2
                                               an,n 2 an,n 1 an,n         

                                         A NUMERICAL METHODS IN ING. PETROLEUM
ESCUELA DE INGENIERÍA DE PETROLEOS



                From the product of the n-th row of L by the n-th column of LT we have:


Ln ,12  Ln , 2 2    Ln , n  2 2  Ln , n 12  Ln n 2  a n n
Ln n 2  a n n  Ln ,12  Ln , 2 2    Ln , n  2 2  Ln , n 12
                      n 1
Ln n   2
            an n    L
                      j 1
                              n, j
                                     2



                      n 1
Ln n        an n    L
                       j 1
                                n, j
                                       2




Making the sweep from k = 1 to n we have:

                              k 1
       Lkk  akk   Lk , j
                                           2

                              j 1




                                                  NUMERICAL METHODS IN ING. PETROLEUM
ESCUELA DE INGENIERÍA DE PETROLEOS



                     GAUSS ELIMINATION METHOD

Is to transform the coefficient matrix of the linear system
in an upper triangular matrix by appropriate linear combinations of the equations of
the system.




To transform the matrix A into an upper triangular matrix is proceder'a step by
step, column by column. For the column i-'esima is realizar'an Equation linear
combinations between the i-'esima and each of the remaining j-'esimas equations
with j = i + 1 i + 2;:::: n , so that the elements become zeros aji, for column i-
'esima. These linear combinations of equations affects the matrix and the vector b.




                                            NUMERICAL METHODS IN ING. PETROLEUM
ESCUELA DE INGENIERÍA DE PETROLEOS



                      BIBLIOGRAPHY


 es. Wikipedia.org.com

Presentación de sistemas especiales por el
Profesor Eduardo Carrillo Zambrano.




                                NUMERICAL METHODS IN ING. PETROLEUM

More Related Content

Viewers also liked

Hy solution사례(6)금융상품분석els 파생형펀드
Hy solution사례(6)금융상품분석els 파생형펀드Hy solution사례(6)금융상품분석els 파생형펀드
Hy solution사례(6)금융상품분석els 파생형펀드valuasset
 
哲学问题的科学解
哲学问题的科学解哲学问题的科学解
哲学问题的科学解pluschen
 
Brand protection business case
Brand protection business caseBrand protection business case
Brand protection business caseNEW Momentum
 
搜索引擎原理略览
搜索引擎原理略览搜索引擎原理略览
搜索引擎原理略览pluschen
 
敏捷开发的必要技巧
敏捷开发的必要技巧敏捷开发的必要技巧
敏捷开发的必要技巧Jet Wang
 
Cell respiration haf 1
Cell respiration haf 1Cell respiration haf 1
Cell respiration haf 1fergo16
 
לכן שמח לבי, תהלים ט"ז
לכן שמח לבי, תהלים ט"זלכן שמח לבי, תהלים ט"ז
לכן שמח לבי, תהלים ט"זNurit Eliram
 

Viewers also liked (18)

Hy solution사례(6)금융상품분석els 파생형펀드
Hy solution사례(6)금융상품분석els 파생형펀드Hy solution사례(6)금융상품분석els 파생형펀드
Hy solution사례(6)금융상품분석els 파생형펀드
 
Open sourcing of Journalism by James Corbett
Open sourcing of Journalism by James CorbettOpen sourcing of Journalism by James Corbett
Open sourcing of Journalism by James Corbett
 
Siasat Para Pemburu Rubah
Siasat Para Pemburu RubahSiasat Para Pemburu Rubah
Siasat Para Pemburu Rubah
 
哲学问题的科学解
哲学问题的科学解哲学问题的科学解
哲学问题的科学解
 
Jalur Sutra Han Muda
Jalur Sutra Han MudaJalur Sutra Han Muda
Jalur Sutra Han Muda
 
Harga Skandal Lady
Harga Skandal LadyHarga Skandal Lady
Harga Skandal Lady
 
Mw kenalan
Mw kenalanMw kenalan
Mw kenalan
 
Launching MMO Games
Launching MMO GamesLaunching MMO Games
Launching MMO Games
 
Lenguas romances
Lenguas romancesLenguas romances
Lenguas romances
 
Dokumen yang Memanaskan Jakarta
Dokumen yang Memanaskan JakartaDokumen yang Memanaskan Jakarta
Dokumen yang Memanaskan Jakarta
 
Perlawanan Terakhir Borya
Perlawanan Terakhir BoryaPerlawanan Terakhir Borya
Perlawanan Terakhir Borya
 
Brand protection business case
Brand protection business caseBrand protection business case
Brand protection business case
 
2012- comete is shining more and more
2012- comete is shining more and more2012- comete is shining more and more
2012- comete is shining more and more
 
搜索引擎原理略览
搜索引擎原理略览搜索引擎原理略览
搜索引擎原理略览
 
敏捷开发的必要技巧
敏捷开发的必要技巧敏捷开发的必要技巧
敏捷开发的必要技巧
 
Web Standards in FLOSS development
Web Standards in FLOSS developmentWeb Standards in FLOSS development
Web Standards in FLOSS development
 
Cell respiration haf 1
Cell respiration haf 1Cell respiration haf 1
Cell respiration haf 1
 
לכן שמח לבי, תהלים ט"ז
לכן שמח לבי, תהלים ט"זלכן שמח לבי, תהלים ט"ז
לכן שמח לבי, תהלים ט"ז
 

Similar to Direct methods for the solution of systems of linear equations

Algorithm chapter 8
Algorithm chapter 8Algorithm chapter 8
Algorithm chapter 8chidabdu
 
Sequences of New Methods of Construction of Doubly Even Magic Squares
Sequences of New Methods of Construction of Doubly Even Magic SquaresSequences of New Methods of Construction of Doubly Even Magic Squares
Sequences of New Methods of Construction of Doubly Even Magic SquaresLossian Barbosa Bacelar Miranda
 
On the K-Fibonacci Hankel and the 4 X 4 Skew Symmetric KFibonacci Matrices.
On the K-Fibonacci Hankel and the 4 X 4 Skew Symmetric KFibonacci Matrices.On the K-Fibonacci Hankel and the 4 X 4 Skew Symmetric KFibonacci Matrices.
On the K-Fibonacci Hankel and the 4 X 4 Skew Symmetric KFibonacci Matrices.IOSRJM
 
Maapr3
Maapr3Maapr3
Maapr3FNian
 
A Note on M2 Partitions of n
A Note on M2 Partitions of nA Note on M2 Partitions of n
A Note on M2 Partitions of nIJLT EMAS
 
Decay Property for Solutions to Plate Type Equations with Variable Coefficients
Decay Property for Solutions to Plate Type Equations with Variable CoefficientsDecay Property for Solutions to Plate Type Equations with Variable Coefficients
Decay Property for Solutions to Plate Type Equations with Variable CoefficientsEditor IJCATR
 
International Journal of Mathematics and Statistics Invention (IJMSI)
International Journal of Mathematics and Statistics Invention (IJMSI)International Journal of Mathematics and Statistics Invention (IJMSI)
International Journal of Mathematics and Statistics Invention (IJMSI)inventionjournals
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
 
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)IJERD Editor
 
International Journal of Computational Engineering Research (IJCER)
International Journal of Computational Engineering Research (IJCER) International Journal of Computational Engineering Research (IJCER)
International Journal of Computational Engineering Research (IJCER) ijceronline
 
lecture33.pptx
lecture33.pptxlecture33.pptx
lecture33.pptxnage8
 
Data sparse approximation of the Karhunen-Loeve expansion
Data sparse approximation of the Karhunen-Loeve expansionData sparse approximation of the Karhunen-Loeve expansion
Data sparse approximation of the Karhunen-Loeve expansionAlexander Litvinenko
 
RF Circuit Design - [Ch1-1] Sinusoidal Steady-state Analysis
RF Circuit Design - [Ch1-1] Sinusoidal Steady-state AnalysisRF Circuit Design - [Ch1-1] Sinusoidal Steady-state Analysis
RF Circuit Design - [Ch1-1] Sinusoidal Steady-state AnalysisSimen Li
 
Bench Can Breakdance?
Bench Can Breakdance?Bench Can Breakdance?
Bench Can Breakdance?benchoun
 
presentation.pptx
presentation.pptxpresentation.pptx
presentation.pptxahmed219190
 
The Calculus Crusaders Analysing A Deriv
The Calculus Crusaders Analysing A DerivThe Calculus Crusaders Analysing A Deriv
The Calculus Crusaders Analysing A Derivazn_punkyfish07
 

Similar to Direct methods for the solution of systems of linear equations (20)

Algorithm chapter 8
Algorithm chapter 8Algorithm chapter 8
Algorithm chapter 8
 
Sequences of New Methods of Construction of Doubly Even Magic Squares
Sequences of New Methods of Construction of Doubly Even Magic SquaresSequences of New Methods of Construction of Doubly Even Magic Squares
Sequences of New Methods of Construction of Doubly Even Magic Squares
 
On the K-Fibonacci Hankel and the 4 X 4 Skew Symmetric KFibonacci Matrices.
On the K-Fibonacci Hankel and the 4 X 4 Skew Symmetric KFibonacci Matrices.On the K-Fibonacci Hankel and the 4 X 4 Skew Symmetric KFibonacci Matrices.
On the K-Fibonacci Hankel and the 4 X 4 Skew Symmetric KFibonacci Matrices.
 
Maapr3
Maapr3Maapr3
Maapr3
 
A Note on M2 Partitions of n
A Note on M2 Partitions of nA Note on M2 Partitions of n
A Note on M2 Partitions of n
 
Decay Property for Solutions to Plate Type Equations with Variable Coefficients
Decay Property for Solutions to Plate Type Equations with Variable CoefficientsDecay Property for Solutions to Plate Type Equations with Variable Coefficients
Decay Property for Solutions to Plate Type Equations with Variable Coefficients
 
International Journal of Mathematics and Statistics Invention (IJMSI)
International Journal of Mathematics and Statistics Invention (IJMSI)International Journal of Mathematics and Statistics Invention (IJMSI)
International Journal of Mathematics and Statistics Invention (IJMSI)
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
 
Finite difference & interpolation
Finite difference & interpolationFinite difference & interpolation
Finite difference & interpolation
 
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
 
International Journal of Computational Engineering Research (IJCER)
International Journal of Computational Engineering Research (IJCER) International Journal of Computational Engineering Research (IJCER)
International Journal of Computational Engineering Research (IJCER)
 
lecture33.pptx
lecture33.pptxlecture33.pptx
lecture33.pptx
 
Excel Homework Help
Excel Homework HelpExcel Homework Help
Excel Homework Help
 
Data sparse approximation of the Karhunen-Loeve expansion
Data sparse approximation of the Karhunen-Loeve expansionData sparse approximation of the Karhunen-Loeve expansion
Data sparse approximation of the Karhunen-Loeve expansion
 
B02404014
B02404014B02404014
B02404014
 
RF Circuit Design - [Ch1-1] Sinusoidal Steady-state Analysis
RF Circuit Design - [Ch1-1] Sinusoidal Steady-state AnalysisRF Circuit Design - [Ch1-1] Sinusoidal Steady-state Analysis
RF Circuit Design - [Ch1-1] Sinusoidal Steady-state Analysis
 
Bench Can Breakdance?
Bench Can Breakdance?Bench Can Breakdance?
Bench Can Breakdance?
 
presentation.pptx
presentation.pptxpresentation.pptx
presentation.pptx
 
Mergesort
MergesortMergesort
Mergesort
 
The Calculus Crusaders Analysing A Deriv
The Calculus Crusaders Analysing A DerivThe Calculus Crusaders Analysing A Deriv
The Calculus Crusaders Analysing A Deriv
 

More from NORAIMA

Exercises
ExercisesExercises
ExercisesNORAIMA
 
Exercises
ExercisesExercises
ExercisesNORAIMA
 
Examples of iterative methods for the solution of
Examples of iterative methods for the solution ofExamples of iterative methods for the solution of
Examples of iterative methods for the solution ofNORAIMA
 
Iterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equationsIterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equationsNORAIMA
 
Iterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equationsIterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equationsNORAIMA
 
Iterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equationsIterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equationsNORAIMA
 
Iterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equationsIterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equationsNORAIMA
 
Examples of direct methods for the solution of systems of linear equations
Examples of direct methods for the solution of systems of linear equationsExamples of direct methods for the solution of systems of linear equations
Examples of direct methods for the solution of systems of linear equationsNORAIMA
 
Matrices
MatricesMatrices
MatricesNORAIMA
 
Matrices
MatricesMatrices
MatricesNORAIMA
 
Matrices
MatricesMatrices
MatricesNORAIMA
 
Matrices
MatricesMatrices
MatricesNORAIMA
 
Examples methods of calculate roots of equation1
Examples   methods of calculate roots of equation1Examples   methods of calculate roots of equation1
Examples methods of calculate roots of equation1NORAIMA
 
Taller 1. serie de taylor
Taller 1. serie de taylorTaller 1. serie de taylor
Taller 1. serie de taylorNORAIMA
 
Taller 1. serie de taylor
Taller 1. serie de taylorTaller 1. serie de taylor
Taller 1. serie de taylorNORAIMA
 
Methods of calculate roots of equations
Methods  of calculate  roots  of  equationsMethods  of calculate  roots  of  equations
Methods of calculate roots of equationsNORAIMA
 

More from NORAIMA (16)

Exercises
ExercisesExercises
Exercises
 
Exercises
ExercisesExercises
Exercises
 
Examples of iterative methods for the solution of
Examples of iterative methods for the solution ofExamples of iterative methods for the solution of
Examples of iterative methods for the solution of
 
Iterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equationsIterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equations
 
Iterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equationsIterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equations
 
Iterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equationsIterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equations
 
Iterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equationsIterative methods for the solution of systems of linear equations
Iterative methods for the solution of systems of linear equations
 
Examples of direct methods for the solution of systems of linear equations
Examples of direct methods for the solution of systems of linear equationsExamples of direct methods for the solution of systems of linear equations
Examples of direct methods for the solution of systems of linear equations
 
Matrices
MatricesMatrices
Matrices
 
Matrices
MatricesMatrices
Matrices
 
Matrices
MatricesMatrices
Matrices
 
Matrices
MatricesMatrices
Matrices
 
Examples methods of calculate roots of equation1
Examples   methods of calculate roots of equation1Examples   methods of calculate roots of equation1
Examples methods of calculate roots of equation1
 
Taller 1. serie de taylor
Taller 1. serie de taylorTaller 1. serie de taylor
Taller 1. serie de taylor
 
Taller 1. serie de taylor
Taller 1. serie de taylorTaller 1. serie de taylor
Taller 1. serie de taylor
 
Methods of calculate roots of equations
Methods  of calculate  roots  of  equationsMethods  of calculate  roots  of  equations
Methods of calculate roots of equations
 

Direct methods for the solution of systems of linear equations

  • 1. ESCUELA DE INGENIERÍA DE PETROLEOS DIRECT METHODS FOR THE SOLUTION OF SYSTEMS OF LINEAR EQUATIONS NORAIMA ZARATE GARCIA COD: 2073173 ING. DE PETROLEOS NUMERICAL METHODS IN ING. PETROLEUM
  • 2. ESCUELA DE INGENIERÍA DE PETROLEOS LU DECOMPOSITION Its name is derived from the English words "Lower" and "Upper", which in Spanish translates as "Lower" and "Superior." Studying the process followed in the LU decomposition is possible to understand the reason for this name analyzing how an original matrix is decomposed into two triangular matrices, an upper and lower. LU Decomposition involves only operations on the coefficient matrix [A], providing an efficient means to calculate the inverse matrix or solving systems of linear algebra. First you must obtain the matrix [L] and matrix [U] [L] is a diagonal matrix with numbers less than 1 on the diagonal. [U] is an upper diagonal matrix on the diagonal which does not necessarily have to be number one. The first step is to break down or transform [A] [L] and [U], ie to obtain the lower triangular matrix [L] and the upper triangular matrix [U] NUMERICAL METHODS IN ING. PETROLEUM
  • 3. ESCUELA DE INGENIERÍA DE PETROLEOS STEPS TO FIND THE UPPER TRIANGULAR MATRIX [U] .Hacer zero all values below the pivot without turning this into a. Achieve the above.  .In order is required to obtain a factor which is necessary to convert values to zero below the pivot. .Dicho factor is equal to the number you want to make the number zero pivot. This factor multiplied by -1 is then multiplied by the pivot and this result is added value that is in the position to change (the value in the position to become zero). That is: - factor * pivot + position changes NUMERICAL METHODS IN ING. PETROLEUM
  • 4. ESCUELA DE INGENIERÍA DE PETROLEOS STEPS TO FIND THE LOWER TRIANGULAR MATRIX [L] To find the lower triangular matrix seeks to zero values above each pivot, as well as become an every pivot. It uses the same concept of "factor" described above and are located all the "factors" below the diagonal as appropriate for each. Esquematicamnete seeks the following: NUMERICAL METHODS IN ING. PETROLEUM
  • 5. ESCUELA DE INGENIERÍA DE PETROLEOS STEPS TO SOLVE A SYSTEM OF EQUATIONS BY THE LU DECOMPOSITION METHOD 1.Obtener lower triangular matrix L and upper triangular matrix U. 2.Resolver Ly = b (to find y). 3.The result of previous step is saved in a new array named "y". 4.Realizar Ux = y (to find x). 5.The result of previous step is stored in a new array called "x", which provides the values for the unknowns of the equation NUMERICAL METHODS IN ING. PETROLEUM
  • 6. ESCUELA DE INGENIERÍA DE PETROLEOS METHOD OF THOMAS This method emerges as a simplification of an LU factorization of a tridiagonal matrix. It follows that: NUMERICAL METHODS IN ING. PETROLEUM
  • 7. ESCUELA DE INGENIERÍA DE PETROLEOS CHOLESKY FACTORIZATION The method of Cholesky factorization is applied to positive definite matrices where the system Ax = b can be written as L (LTX) = b where L is a lower triangular matrix and its transpose Lt; be replaced LTX = y and solve the lower triangular system Ly = b by forward substitution obtained and then resolve the upper triangular system LTX = y by back substitution process. This method is unique in that each pivot element is obtained by calculating the square root of lii, lii where is the diagonal element of L which is in row i, column i. Ax  b U L T LL x  b T NUMERICAL METHODS IN ING. PETROLEUM
  • 8. ESCUELA DE INGENIERÍA DE PETROLEOS L LT  L11   L11 L21  Ln 2,1 Ln 1,1 Ln,1  L L22   L22  Ln 2, 2 Ln 1, 2 Ln, 2   21                    Ln 2,1 Ln 2, 2  Ln 2,n 2   Ln 2,n 2 Ln 1,n 2 Ln,n 2   Ln 1,1 Ln 1, 2  Ln 1,n 2 Ln 1,n 1   Ln 1,n 1 Ln,n 1       Ln,1 Ln, 2   Ln,n 2 Ln,n 1 Ln,n     Ln,n    a11 a12  a1,n 2 a1,n1 a1,n  a a22  a2,n 2 a2,n1 a2,n  A =LLT  21            an 2,1 an 2, 2  an 2,n 2 an 2,n 1 an 2,n   an 1,1 an 1, 2  an 1,n 2 an 1,n 1 an 1,n     an,1 an, 2   an,n 2 an,n 1 an,n   A NUMERICAL METHODS IN ING. PETROLEUM
  • 9. ESCUELA DE INGENIERÍA DE PETROLEOS From the product of the n-th row of L by the n-th column of LT we have: Ln ,12  Ln , 2 2    Ln , n  2 2  Ln , n 12  Ln n 2  a n n Ln n 2  a n n  Ln ,12  Ln , 2 2    Ln , n  2 2  Ln , n 12 n 1 Ln n 2  an n  L j 1 n, j 2 n 1 Ln n  an n  L j 1 n, j 2 Making the sweep from k = 1 to n we have: k 1 Lkk  akk   Lk , j 2 j 1 NUMERICAL METHODS IN ING. PETROLEUM
  • 10. ESCUELA DE INGENIERÍA DE PETROLEOS GAUSS ELIMINATION METHOD Is to transform the coefficient matrix of the linear system in an upper triangular matrix by appropriate linear combinations of the equations of the system. To transform the matrix A into an upper triangular matrix is proceder'a step by step, column by column. For the column i-'esima is realizar'an Equation linear combinations between the i-'esima and each of the remaining j-'esimas equations with j = i + 1 i + 2;:::: n , so that the elements become zeros aji, for column i- 'esima. These linear combinations of equations affects the matrix and the vector b. NUMERICAL METHODS IN ING. PETROLEUM
  • 11. ESCUELA DE INGENIERÍA DE PETROLEOS BIBLIOGRAPHY  es. Wikipedia.org.com Presentación de sistemas especiales por el Profesor Eduardo Carrillo Zambrano. NUMERICAL METHODS IN ING. PETROLEUM