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This is the implementation of Jacobi and Gauss-Seidel method iterative methods for solving a system of linear equations.

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Arsham1024/Solving-System-Linear-EQs

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Solving-System-Linear-EQs

I developed these algorithms to solve linear equations using two methods: 1. gauss-seidel 2. Jacobi

This was done for CS 3010 Numerical Methods

Description:

Gauss-Seidel method: This is an itterative method used to solve a system of linear equations
Jacobi method: This is also an itterative method used to solve a system of linear equations.

Specifications:

These methods are very similar to each other with minor difference.
Both methods will run 50 times maximum.
There are 3 equations total and they are hard coded.

How:

There are couple of checks that need to be done before we begin:

  1. Writing equations on top of each other there must be no zero terms along the diagonal if there are rearange the equations.
  2. Solve each equation for xi starting from i = 1. so the first equation is in terms of X1 and so on.
  3. start from an initial guess. here my initial values are all zeros: x1 = 0 , x2 = 0 , x3 = 0

Jacobi :

  1. use the initial guess to find xi for all there equations
  2. replace the xi answers in a vector and use the found answers as the input guess for the next itteration.
  3. repeat 50 times

Gauss-Seidel:

  1. This method is almost exactly the same in the first step. find the first equation's answers based on initial guess.
  2. Immedietly substitute the answer for x1 into the vector to use for x2.
  3. Immedietly substitute the answer for x2 into the vector to use for x3
  4. repeat these steps 50 times.

Used:

  • Java
  • No helping packages or implementations

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This is the implementation of Jacobi and Gauss-Seidel method iterative methods for solving a system of linear equations.

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