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SYSTEMS OF EQUATIONS
General Purpose
Introduction CONCEPT OF SYSTEM OF LINEAR EQUATIONS. System of m equations with n unknowns. It is a set of algebraic expressions of the form xj, are the unknowns , (j = 1,2 ,..., n). aij, are the coefficients  (i = 1,2 ,..., m) (j = 1,2 ,..., n). ci, are independent terms, (i = 1,2 ,..., m).
[object Object],3 is a system of linear equations with four unknowns. The coefficients of the first equation of the system are the numbers 3, -2, 1, -1. The term itself is independent of 2.
 
graphic methods
[object Object],CRAMER'S RULE.
[object Object],CRAMER'S RULE.
which are the Cramer formulas, which are reflected in the following rule: Cramer's rule. The value of the unknown in a system xj Cramer is a fraction whose numerator is a determining which ob is to replace the column by the column j are the independent terms, and whose denominator is * A *.
Example Solve the system: Then, Cramer is a system. Therefore, the solution of the system is Solve the system: Then, Cramer is a system. Therefore, the solution of the system is:
disposal methods
METHOD OF DISPOSAL OF  GAUSS-JORDAN ,[object Object],Solve the system: We consider the augmented matrix associated with the system, spreading a little column of the independent terms Then, the system has been as follows:
Solving the equations, beginning with the last is: This is a compatible system determined . Solve the system: The augmented matrix is, Exchanging the first row with the third is: Then, the system has been as follows: Solving the last equation, z = 1 +2 t; if we do t = ", is: z = 1 +2
System solutions are giving arbitrary values to the parameter. " It is a compatible system undetermined. Solve the system: The augmented matrix is, We exchanged the first two rows is: After the system has been as follows: It is noted that the system is incompatible.
Method Thomas ,[object Object]
The following algorithm performs the TDMA, overwriting the original arrays. In some situations this is not desirable, so some prefer to copy the original arrays beforehand. Forward elimination phase For k = 2 step until n do 
Variants ,[object Object],In this case, we can make use of the Sherman-Morrison formula to avoid the additional operations of Gaussian elimination and still use the Thomas algorithm. We will now solve
bibliography. ,[object Object],[object Object]

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Sistemas de ecuaciones

  • 3. Introduction CONCEPT OF SYSTEM OF LINEAR EQUATIONS. System of m equations with n unknowns. It is a set of algebraic expressions of the form xj, are the unknowns , (j = 1,2 ,..., n). aij, are the coefficients (i = 1,2 ,..., m) (j = 1,2 ,..., n). ci, are independent terms, (i = 1,2 ,..., m).
  • 4.
  • 5.  
  • 7.
  • 8.
  • 9. which are the Cramer formulas, which are reflected in the following rule: Cramer's rule. The value of the unknown in a system xj Cramer is a fraction whose numerator is a determining which ob is to replace the column by the column j are the independent terms, and whose denominator is * A *.
  • 10. Example Solve the system: Then, Cramer is a system. Therefore, the solution of the system is Solve the system: Then, Cramer is a system. Therefore, the solution of the system is:
  • 12.
  • 13. Solving the equations, beginning with the last is: This is a compatible system determined . Solve the system: The augmented matrix is, Exchanging the first row with the third is: Then, the system has been as follows: Solving the last equation, z = 1 +2 t; if we do t = ", is: z = 1 +2
  • 14. System solutions are giving arbitrary values to the parameter. " It is a compatible system undetermined. Solve the system: The augmented matrix is, We exchanged the first two rows is: After the system has been as follows: It is noted that the system is incompatible.
  • 15.
  • 16. The following algorithm performs the TDMA, overwriting the original arrays. In some situations this is not desirable, so some prefer to copy the original arrays beforehand. Forward elimination phase For k = 2 step until n do 
  • 17.
  • 18.