Examples with MatrixDense gov.sandia.n2a.linear.MatrixDense used on opensource projects

Example 6 with MatrixDense

use of gov.sandia.n2a.linear.MatrixDense in project n2a by frothga.

the class Scalar method min.

public Type min(Type that) {
    if (that instanceof Scalar)
        return new Scalar(Math.min(value, ((Scalar) that).value));
    if (that instanceof Matrix) {
        Matrix B = (Matrix) that;
        int w = B.columns();
        int h = B.rows();
        MatrixDense result = new MatrixDense(h, w);
        for (int c = 0; c < w; c++) {
            for (int r = 0; r < h; r++) {
                result.set(r, c, Math.min(value, B.get(r, c)));
            }
        }
        return result;
    }
    throw new EvaluationException("type mismatch");
}

Example 7 with MatrixDense

use of gov.sandia.n2a.linear.MatrixDense in project n2a by frothga.

the class Scalar method divide.

public Type divide(Type that) throws EvaluationException {
    if (that instanceof Scalar)
        return new Scalar(value / ((Scalar) that).value);
    if (that instanceof Matrix) {
        Matrix B = (Matrix) that;
        int w = B.columns();
        int h = B.rows();
        MatrixDense result = new MatrixDense(h, w);
        for (int c = 0; c < w; c++) {
            for (int r = 0; r < h; r++) {
                result.set(r, c, value / B.get(r, c));
            }
        }
        return result;
    }
    throw new EvaluationException("type mismatch");
}

Example 8 with MatrixDense

use of gov.sandia.n2a.linear.MatrixDense in project n2a by frothga.

the class Scalar method OR.

public Type OR(Type that) throws EvaluationException {
    if (that instanceof Scalar)
        return new Scalar((Math.abs(value) + Math.abs(((Scalar) that).value) != 0) ? 1 : 0);
    if (that instanceof Matrix) {
        double scalar = Math.abs(value);
        Matrix B = (Matrix) that;
        int w = B.columns();
        int h = B.rows();
        MatrixDense result = new MatrixDense(h, w);
        for (int c = 0; c < w; c++) {
            for (int r = 0; r < h; r++) {
                result.set(r, c, (scalar + Math.abs(B.get(r, c)) != 0) ? 1 : 0);
            }
        }
        return result;
    }
    throw new EvaluationException("type mismatch");
}

Example 9 with MatrixDense

use of gov.sandia.n2a.linear.MatrixDense in project n2a by frothga.

the class Scalar method NE.

public Type NE(Type that) throws EvaluationException {
    if (that instanceof Scalar)
        return new Scalar((value != ((Scalar) that).value) ? 1 : 0);
    if (that instanceof Matrix) {
        Matrix B = (Matrix) that;
        int w = B.columns();
        int h = B.rows();
        MatrixDense result = new MatrixDense(h, w);
        for (int c = 0; c < w; c++) {
            for (int r = 0; r < h; r++) {
                result.set(r, c, (value != B.get(r, c)) ? 1 : 0);
            }
        }
        return result;
    }
    throw new EvaluationException("type mismatch");
}

Example 10 with MatrixDense

use of gov.sandia.n2a.linear.MatrixDense in project n2a by frothga.

the class Scalar method AND.

public Type AND(Type that) throws EvaluationException {
    if (that instanceof Scalar)
        return new Scalar((value * ((Scalar) that).value != 0) ? 1 : 0);
    if (that instanceof Matrix) {
        Matrix B = (Matrix) that;
        int w = B.columns();
        int h = B.rows();
        MatrixDense result = new MatrixDense(h, w);
        for (int c = 0; c < w; c++) {
            for (int r = 0; r < h; r++) {
                result.set(r, c, (value * B.get(r, c) != 0) ? 1 : 0);
            }
        }
        return result;
    }
    throw new EvaluationException("type mismatch");
}