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| 1 | +package Misc; |
| 2 | +import java.util.Scanner; |
| 3 | + |
| 4 | +/* |
| 5 | +* Wikipedia link : https://en.wikipedia.org/wiki/Invertible_matrix |
| 6 | +* |
| 7 | +* Here we use gauss elimination method to find the inverse of a given matrix. |
| 8 | +* To understand gauss elimination method to find inverse of a matrix: https://www.sangakoo.com/en/unit/inverse-matrix-method-of-gaussian-elimination |
| 9 | +* |
| 10 | +* We can also find the inverse of a matrix |
| 11 | +*/ |
| 12 | +public class InverseOfMatrix |
| 13 | +{ |
| 14 | + public static void main(String argv[]) |
| 15 | + { |
| 16 | + Scanner input = new Scanner(System.in); |
| 17 | + System.out.println("Enter the matrix size (Square matrix only): "); |
| 18 | + int n = input.nextInt(); |
| 19 | + double a[][]= new double[n][n]; |
| 20 | + System.out.println("Enter the elements of matrix: "); |
| 21 | + for(int i=0; i<n; i++) |
| 22 | + for(int j=0; j<n; j++) |
| 23 | + a[i][j] = input.nextDouble(); |
| 24 | + |
| 25 | + double d[][] = invert(a); |
| 26 | + System.out.println(); |
| 27 | + System.out.println("The inverse is: "); |
| 28 | + for (int i=0; i<n; ++i) |
| 29 | + { |
| 30 | + for (int j=0; j<n; ++j) |
| 31 | + { |
| 32 | + System.out.print(d[i][j]+" "); |
| 33 | + } |
| 34 | + System.out.println(); |
| 35 | + } |
| 36 | + input.close(); |
| 37 | + } |
| 38 | + |
| 39 | + public static double[][] invert(double a[][]) |
| 40 | + { |
| 41 | + int n = a.length; |
| 42 | + double x[][] = new double[n][n]; |
| 43 | + double b[][] = new double[n][n]; |
| 44 | + int index[] = new int[n]; |
| 45 | + for (int i=0; i<n; ++i) |
| 46 | + b[i][i] = 1; |
| 47 | + |
| 48 | + // Transform the matrix into an upper triangle |
| 49 | + gaussian(a, index); |
| 50 | + |
| 51 | + // Update the matrix b[i][j] with the ratios stored |
| 52 | + for (int i=0; i<n-1; ++i) |
| 53 | + for (int j=i+1; j<n; ++j) |
| 54 | + for (int k=0; k<n; ++k) |
| 55 | + b[index[j]][k] |
| 56 | + -= a[index[j]][i]*b[index[i]][k]; |
| 57 | + |
| 58 | + // Perform backward substitutions |
| 59 | + for (int i=0; i<n; ++i) |
| 60 | + { |
| 61 | + x[n-1][i] = b[index[n-1]][i]/a[index[n-1]][n-1]; |
| 62 | + for (int j=n-2; j>=0; --j) |
| 63 | + { |
| 64 | + x[j][i] = b[index[j]][i]; |
| 65 | + for (int k=j+1; k<n; ++k) |
| 66 | + { |
| 67 | + x[j][i] -= a[index[j]][k]*x[k][i]; |
| 68 | + } |
| 69 | + x[j][i] /= a[index[j]][j]; |
| 70 | + } |
| 71 | + } |
| 72 | + return x; |
| 73 | + } |
| 74 | + |
| 75 | +// Method to carry out the partial-pivoting Gaussian |
| 76 | +// elimination. Here index[] stores pivoting order. |
| 77 | + |
| 78 | + public static void gaussian(double a[][], int index[]) |
| 79 | + { |
| 80 | + int n = index.length; |
| 81 | + double c[] = new double[n]; |
| 82 | + |
| 83 | + // Initialize the index |
| 84 | + for (int i=0; i<n; ++i) |
| 85 | + index[i] = i; |
| 86 | + |
| 87 | + // Find the rescaling factors, one from each row |
| 88 | + for (int i=0; i<n; ++i) |
| 89 | + { |
| 90 | + double c1 = 0; |
| 91 | + for (int j=0; j<n; ++j) |
| 92 | + { |
| 93 | + double c0 = Math.abs(a[i][j]); |
| 94 | + if (c0 > c1) c1 = c0; |
| 95 | + } |
| 96 | + c[i] = c1; |
| 97 | + } |
| 98 | + |
| 99 | + // Search the pivoting element from each column |
| 100 | + int k = 0; |
| 101 | + for (int j=0; j<n-1; ++j) |
| 102 | + { |
| 103 | + double pi1 = 0; |
| 104 | + for (int i=j; i<n; ++i) |
| 105 | + { |
| 106 | + double pi0 = Math.abs(a[index[i]][j]); |
| 107 | + pi0 /= c[index[i]]; |
| 108 | + if (pi0 > pi1) |
| 109 | + { |
| 110 | + pi1 = pi0; |
| 111 | + k = i; |
| 112 | + } |
| 113 | + } |
| 114 | + // Interchange rows according to the pivoting order |
| 115 | + int itmp = index[j]; |
| 116 | + index[j] = index[k]; |
| 117 | + index[k] = itmp; |
| 118 | + for (int i=j+1; i<n; ++i) |
| 119 | + { |
| 120 | + double pj = a[index[i]][j]/a[index[j]][j]; |
| 121 | + |
| 122 | + // Record pivoting ratios below the diagonal |
| 123 | + a[index[i]][j] = pj; |
| 124 | + |
| 125 | + // Modify other elements accordingly |
| 126 | + for (int l=j+1; l<n; ++l) |
| 127 | + a[index[i]][l] -= pj*a[index[j]][l]; |
| 128 | + } |
| 129 | + } |
| 130 | + } |
| 131 | +} |
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