Exemple #1
0
  /** Test a column matrix. */
  @Test
  public void testSmallDeviations() {
    System.out.println("testSmallDeviations");

    // run nearest point test by making small deviations (del) to lattice points.
    int iters = 10;
    Random r = new Random();
    double del = 0.0001;
    for (int t = 0; t < iters; t++) {
      int n = r.nextInt(100) + 5;
      LatticeAndNearestPointAlgorithm lattice = new AnstarSorted(n - 1);
      Matrix G = lattice.getGeneratorMatrix();

      Mbest instance = new Mbest(lattice, n);

      // System.out.println("G is " + G.getRowDimension() + " by " + G.getColumnDimension());
      double[] x = new double[G.getRowDimension()];
      double[] xdel = new double[G.getRowDimension()];
      double[] u = VectorFunctions.randomIntegerVector(n, 1000);

      // System.out.println("u is length " + u.length + ", x is length"  + x.length);

      VectorFunctions.matrixMultVector(G, u, x);
      for (int i = 0; i < x.length; i++) {
        xdel[i] = x[i] + r.nextGaussian() * del;
      }

      instance.nearestPoint(xdel);
      double dist = VectorFunctions.distance_between(instance.getLatticePoint(), x);
      System.out.println(dist);
      assertEquals(true, dist < 0.00001);
    }
  }
Exemple #2
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  /** Babai's algorithm should work perfectly for Zn. This tests that it does. */
  @Test
  public void returnsCorrectForZn() {
    System.out.println("returnsCorrectForZn");
    int M = 10;
    double[] y = {1.1, 2.2, 3.9, -4.1, -100.49};

    // construct the integer lattice
    Zn lattice = new Zn(y.length);

    Mbest instance = new Mbest(lattice, M);

    lattice.nearestPoint(y);
    double[] xtrue = lattice.getLatticePoint();
    double[] utrue = lattice.getIndex();

    instance.nearestPoint(y);
    double[] xtest = instance.getLatticePoint();
    double[] utest = instance.getIndex();

    System.out.println(VectorFunctions.print(xtrue));
    System.out.println(VectorFunctions.print(xtest));

    assertTrue(VectorFunctions.distance_between(utest, utrue) < 0.00001);
    assertTrue(VectorFunctions.distance_between(xtest, xtrue) < 0.00001);
    assertTrue(VectorFunctions.distance_between(utest, xtrue) < 0.00001);
    assertTrue(VectorFunctions.distance_between(xtest, utrue) < 0.00001);
  }
Exemple #3
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  /** Test a column matrix. */
  @Test
  public void testBeatsOrEqualsBabai() {
    System.out.println("testBeatsOrEqualsBabai");

    // run nearest point test by making small deviations (del) to lattice points.
    int iters = 100;
    Random r = new Random();
    double del = 1000.0;
    for (int t = 0; t < iters; t++) {
      int n = r.nextInt(100) + 5;
      Lattice lattice = new GeneralLattice(Matrix.random(n, n));
      Matrix G = lattice.getGeneratorMatrix();

      Mbest instance = new Mbest(lattice, n);
      Babai babai = new Babai(lattice);

      // System.out.println("G is " + G.getRowDimension() + " by " + G.getColumnDimension());
      double[] x = new double[G.getRowDimension()];
      double[] xdel = new double[G.getRowDimension()];
      double[] u = new double[n];
      for (int i = 0; i < n; i++) {
        u[i] = r.nextDouble();
      }
      VectorFunctions.matrixMultVector(G, u, xdel);

      instance.nearestPoint(xdel);
      babai.nearestPoint(xdel);
      double instdist = VectorFunctions.distance_between2(instance.getLatticePoint(), xdel);
      double babaidist = VectorFunctions.distance_between2(babai.getLatticePoint(), xdel);

      System.out.println(babaidist + ", " + instdist);
      // System.out.println(VectorFunctions.print(babai.getIndex()));
      assertTrue(instdist <= babaidist);
    }
  }
Exemple #4
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  @Test
  public void returnsErrorWhenDimensionAreWrong() {
    System.out.println("nearestPoint");
    int M = 10;
    double[] y = {1, 2, 3, 4};

    GeneralLattice lattice = new GeneralLattice(Matrix.random(6, 5));
    Mbest instance = new Mbest(lattice, M);

    boolean caught = false;
    try {
      instance.nearestPoint(y);
    } catch (RuntimeException e) {
      caught = true;
    }

    assertTrue(caught);
  }