Example usage for org.apache.commons.math3.linear RealMatrix getColumnDimension

Introduction

In this page you can find the example usage for org.apache.commons.math3.linear RealMatrix getColumnDimension.

Prototype

int getColumnDimension();

Source Link

Document

Returns the number of columns in the matrix.

Usage

From source file:put.ci.cevo.framework.algorithms.ApacheCMAES.java

/**
 * @param m Input matrix 1./*  www  . j ava 2s  .  c  om*/
 * @param n Input matrix 2.
 * @return Matrix where the elements of m and n are element-wise divided.
 */
private static RealMatrix divide(final RealMatrix m, final RealMatrix n) {
    final double[][] d = new double[m.getRowDimension()][m.getColumnDimension()];
    for (int r = 0; r < m.getRowDimension(); r++) {
        for (int c = 0; c < m.getColumnDimension(); c++) {
            d[r][c] = m.getEntry(r, c) / n.getEntry(r, c);
        }
    }
    return new Array2DRowRealMatrix(d, false);
}

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From source file:put.ci.cevo.framework.algorithms.ApacheCMAES.java

/**
 * @param m Input matrix.//from w w w  . j  a  va2s  .c  o  m
 * @param k Diagonal position.
 * @return Upper triangular part of matrix.
 */
private static RealMatrix triu(final RealMatrix m, int k) {
    final double[][] d = new double[m.getRowDimension()][m.getColumnDimension()];
    for (int r = 0; r < m.getRowDimension(); r++) {
        for (int c = 0; c < m.getColumnDimension(); c++) {
            d[r][c] = r <= c - k ? m.getEntry(r, c) : 0;
        }
    }
    return new Array2DRowRealMatrix(d, false);
}

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From source file:put.ci.cevo.framework.algorithms.ApacheCMAES.java

/**
 * @param m Input matrix./*from w  w  w.  j a  v  a  2  s .c  o m*/
 * @return Row matrix representing the sums of the rows.
 */
private static RealMatrix sumRows(final RealMatrix m) {
    final double[][] d = new double[1][m.getColumnDimension()];
    for (int c = 0; c < m.getColumnDimension(); c++) {
        double sum = 0;
        for (int r = 0; r < m.getRowDimension(); r++) {
            sum += m.getEntry(r, c);
        }
        d[0][c] = sum;
    }
    return new Array2DRowRealMatrix(d, false);
}

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From source file:put.ci.cevo.framework.algorithms.ApacheCMAES.java

/**
 * @param m Input matrix.//from   w w  w .j  av a  2  s .co m
 * @return the diagonal n-by-n matrix if m is a column matrix or the column matrix representing the diagonal if m is
 * a n-by-n matrix.
 */
private static RealMatrix diag(final RealMatrix m) {
    if (m.getColumnDimension() == 1) {
        final double[][] d = new double[m.getRowDimension()][m.getRowDimension()];
        for (int i = 0; i < m.getRowDimension(); i++) {
            d[i][i] = m.getEntry(i, 0);
        }
        return new Array2DRowRealMatrix(d, false);
    } else {
        final double[][] d = new double[m.getRowDimension()][1];
        for (int i = 0; i < m.getColumnDimension(); i++) {
            d[i][0] = m.getEntry(i, i);
        }
        return new Array2DRowRealMatrix(d, false);
    }
}

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From source file:put.ci.cevo.framework.algorithms.ApacheCMAES.java

/**
 * @param mat Input matrix./*from  w w  w .  j  a v a2  s . co m*/
 * @param n   Number of row replicates.
 * @param m   Number of column replicates.
 * @return a matrix which replicates the input matrix in both directions.
 */
private static RealMatrix repmat(final RealMatrix mat, int n, int m) {
    final int rd = mat.getRowDimension();
    final int cd = mat.getColumnDimension();
    final double[][] d = new double[n * rd][m * cd];
    for (int r = 0; r < n * rd; r++) {
        for (int c = 0; c < m * cd; c++) {
            d[r][c] = mat.getEntry(r % rd, c % cd);
        }
    }
    return new Array2DRowRealMatrix(d, false);
}

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From source file:put.ci.cevo.framework.algorithms.ApacheCMAES.java

/**
 * @param m Input matrix.//from  w ww  .ja v a 2s .c om
 * @return the maximum of the matrix element values.
 */
private static double max(final RealMatrix m) {
    double max = -Double.MAX_VALUE;
    for (int r = 0; r < m.getRowDimension(); r++) {
        for (int c = 0; c < m.getColumnDimension(); c++) {
            double e = m.getEntry(r, c);
            if (max < e) {
                max = e;
            }
        }
    }
    return max;
}

---

From source file:put.ci.cevo.framework.algorithms.ApacheCMAES.java

/**
 * @param m Input matrix./*from w w w.j a va 2  s.  c  o m*/
 * @return the minimum of the matrix element values.
 */
private static double min(final RealMatrix m) {
    double min = Double.MAX_VALUE;
    for (int r = 0; r < m.getRowDimension(); r++) {
        for (int c = 0; c < m.getColumnDimension(); c++) {
            double e = m.getEntry(r, c);
            if (min > e) {
                min = e;
            }
        }
    }
    return min;
}

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From source file:restclient.service.DailyRecordFacadeREST.java

@GET
@Path("findCorrelationByStartAndEndDateAndWeatherVariable/{startDate}/{endDate}/{attribute}")
@Produces({ "application/json" })
public String findCorrelationByStartAndEndDateAndWeatherVariable(@PathParam("startDate") Date startDate,
        @PathParam("endDate") Date endDate, @PathParam("attribute") String attribute) {
    String attributeInLowerCase = attribute.toLowerCase();
    switch (attributeInLowerCase) {
    case "windspeed":
    case "wind speed":
        attributeInLowerCase = "windSpeed";
        break;//from  ww w  . j ava  2 s.c om
    case "atmosphericpressure":
    case "atmospheric pressure":
        attributeInLowerCase = "atmosphericPressure";
        break;
    default:
        break;
    }
    String sth = "NEW restclient.Result2(d.painLevel, d." + attributeInLowerCase + ")";
    String jpql = "SELECT " + sth
            + " FROM restclient.DailyRecord d WHERE d.recordDate >= :startDate AND d.recordDate <= :endDate";
    TypedQuery<Result2> q = em.createQuery(jpql, Result2.class);
    q.setParameter("startDate", startDate);
    q.setParameter("endDate", endDate);
    List<Result2> result = q.getResultList();
    double data[][] = new double[result.size()][];
    for (int i = 0; i < result.size(); i++) {
        data[i] = new double[] { result.get(i).painLevel, result.get(i).weather };
    }
    RealMatrix m = MatrixUtils.createRealMatrix(data);
    String first = "";
    for (int i = 0; i < m.getColumnDimension(); i++)
        for (int j = 0; j < m.getColumnDimension(); j++) {
            PearsonsCorrelation pc = new PearsonsCorrelation();
            double cor = pc.correlation(m.getColumn(i), m.getColumn(j));
            first += (i + "," + j + "=[" + String.format(".%2f", cor) + "," + "]" + ";   ");
        }
    PearsonsCorrelation pc = new PearsonsCorrelation(m);
    RealMatrix corM = pc.getCorrelationMatrix();
    String second = ("!correlation:" + corM.getEntry(0, 1) + "   ");
    RealMatrix pM = pc.getCorrelationPValues();
    String third = ("!p value:" + pM.getEntry(0, 1));
    return first + second + third;
}

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From source file:Rotationforest.Covariance.java

/**
 * Compute a covariance matrix from a matrix whose columns represent
 * covariates.// w w w  .  j  av a  2s  . c om
 * @param matrix input matrix (must have at least one column and two rows)
 * @param biasCorrected determines whether or not covariance estimates are bias-corrected
 * @return covariance matrix
 * @throws MathIllegalArgumentException if the matrix does not contain sufficient data
 */
protected RealMatrix computeCovarianceMatrix(RealMatrix matrix, boolean biasCorrected)
        throws MathIllegalArgumentException {
    int dimension = matrix.getColumnDimension();
    Variance variance = new Variance(biasCorrected);
    RealMatrix outMatrix = new BlockRealMatrix(dimension, dimension);
    for (int i = 0; i < dimension; i++) {
        for (int j = 0; j < i; j++) {
            double cov = covariance(matrix.getColumn(i), matrix.getColumn(j), biasCorrected);
            outMatrix.setEntry(i, j, cov);
            outMatrix.setEntry(j, i, cov);

        }
        outMatrix.setEntry(i, i, variance.evaluate(matrix.getColumn(i)));
        outMatrix.setEntry(i, i, variance.evaluate(matrix.getColumn(i)));
    }
    //return outMatrix;
    return outMatrix;

}

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From source file:Rotationforest.Covariance.java

/**
 * Throws MathIllegalArgumentException if the matrix does not have at least
 * one column and two rows./* w  w w.jav a2 s.c om*/
 * @param matrix matrix to check
 * @throws MathIllegalArgumentException if the matrix does not contain sufficient data
 * to compute covariance
 */
private void checkSufficientData(final RealMatrix matrix) throws MathIllegalArgumentException {
    int nRows = matrix.getRowDimension();
    int nCols = matrix.getColumnDimension();
    if (nRows < 2 || nCols < 1) {
        throw new MathIllegalArgumentException(LocalizedFormats.INSUFFICIENT_ROWS_AND_COLUMNS, nRows, nCols);
    }
}

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