Jacobi Iteration Solver

Parallel Ax=b iteration

All Tools

System

Tolerance

✓ Converged in 21 iters

Solution x

(4.910714, 4.642857, 3.660714)

Iterations

0[0.0000, 0.0000, 0.0000]—

1[3.7500, 2.5000, 2.5000]3.8e+0

2[4.3750, 4.0625, 3.1250]1.6e+0

3[4.7656, 4.3750, 3.5156]3.9e-1

4[4.8438, 4.5703, 3.5938]2.0e-1

5[4.8926, 4.6094, 3.6426]4.9e-2

6[4.9023, 4.6338, 3.6523]2.4e-2

7[4.9084, 4.6387, 3.6584]6.1e-3

8[4.9097, 4.6417, 3.6597]3.1e-3

9[4.9104, 4.6423, 3.6604]7.6e-4

10[4.9106, 4.6427, 3.6606]3.8e-4

11[4.9107, 4.6428, 3.6607]9.5e-5

12[4.9107, 4.6428, 3.6607]4.8e-5

13[4.9107, 4.6428, 3.6607]1.2e-5

14[4.9107, 4.6429, 3.6607]6.0e-6

15[4.9107, 4.6429, 3.6607]1.5e-6

16[4.9107, 4.6429, 3.6607]7.5e-7

17[4.9107, 4.6429, 3.6607]1.9e-7

18[4.9107, 4.6429, 3.6607]9.3e-8

19[4.9107, 4.6429, 3.6607]2.3e-8

20[4.9107, 4.6429, 3.6607]1.2e-8

21[4.9107, 4.6429, 3.6607]2.9e-9

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About Jacobi Iteration Solver

A Jacobi iterative solver for linear systems. Simultaneously updates all unknowns using values from the previous iteration. Shows iteration table with convergence. Checks diagonal dominance. Naturally parallelizable. Select from preset systems. All calculations are client-side.

Jacobi Iteration Solver Features

Parallel update
Iteration table
Diag dominance
Convergence
Presets

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