package linear_algebra; import b.BInterfaceAlpha; import java.io.Serializable; public class MatrixOrthogonalizer implements Serializable { private double[][] BInterfaceAlpha; private int b; private int c; private double[] d; public MatrixOrthogonalizer(Matrix paramb) { this.BInterfaceAlpha = paramb.c(); this.b = paramb.d(); this.c = paramb.e(); this.d = new double[this.c]; for (byte b1 = 0; b1 < this.c; b1++) { double d = 0.0D; int i; for (i = b1; i < this.b; i++) d = BInterfaceAlpha.BInterfaceAlpha(d, this.BInterfaceAlpha[i][b1]); if (d != 0.0D) { if (this.BInterfaceAlpha[b1][b1] < 0.0D) d = -d; for (i = b1; i < this.b; i++) this.BInterfaceAlpha[i][b1] = this.BInterfaceAlpha[i][b1] / d; this.BInterfaceAlpha[b1][b1] = this.BInterfaceAlpha[b1][b1] + 1.0D; for (i = b1 + 1; i < this.c; i++) { double d1 = 0.0D; byte b2; for (b2 = b1; b2 < this.b; b2++) d1 += this.BInterfaceAlpha[b2][b1] * this.BInterfaceAlpha[b2][i]; d1 = -d1 / this.BInterfaceAlpha[b1][b1]; for (b2 = b1; b2 < this.b; b2++) this.BInterfaceAlpha[b2][i] = this.BInterfaceAlpha[b2][i] + d1 * this.BInterfaceAlpha[b2][b1]; } } this.d[b1] = -d; } } public boolean BInterfaceAlpha() { for (byte b = 0; b < this.c; b++) { if (this.d[b] == 0.0D) return false; } return true; } public Matrix BInterfaceAlpha(Matrix paramb) { if (paramb.d() != this.b) throw new IllegalArgumentException("Matrix row dimensions must agree."); if (!BInterfaceAlpha()) throw new RuntimeException("Matrix is rank deficient."); int i = paramb.e(); double[][] arrayOfDouble = paramb.c(); int j; for (j = 0; j < this.c; j++) { for (byte b1 = 0; b1 < i; b1++) { double d = 0.0D; int k; for (k = j; k < this.b; k++) d += this.BInterfaceAlpha[k][j] * arrayOfDouble[k][b1]; d = -d / this.BInterfaceAlpha[j][j]; for (k = j; k < this.b; k++) arrayOfDouble[k][b1] = arrayOfDouble[k][b1] + d * this.BInterfaceAlpha[k][j]; } } for (j = this.c - 1; j >= 0; j--) { byte b1; for (b1 = 0; b1 < i; b1++) arrayOfDouble[j][b1] = arrayOfDouble[j][b1] / this.d[j]; for (b1 = 0; b1 < j; b1++) { for (byte b2 = 0; b2 < i; b2++) arrayOfDouble[b1][b2] = arrayOfDouble[b1][b2] - arrayOfDouble[j][b2] * this.BInterfaceAlpha[b1][j]; } } return (new Matrix(arrayOfDouble, this.c, i)).BInterfaceAlpha(0, this.c - 1, 0, i - 1); } } /* Location: /home/rewrich/Downloads/TunerStudioMS/TunerStudioMS/!/BInterfaceAlpha/c.class * Java compiler version: 8 (52.0) * JD-Core Version: 1.1.3 */