List of usage examples for org.apache.commons.math3.linear BlockRealMatrix getColumnDimension
@Override public int getColumnDimension()
From source file:jmbench.PackageMatrixConversion.java
public static void convertToEjml(final BlockRealMatrix src, final DenseMatrix64F dst) { if ((src.getRowDimension() != dst.getNumRows()) || (src.getColumnDimension() != dst.getNumCols())) { throw new IllegalArgumentException("Matrices are not the same shape"); }// w w w. ja v a 2 s .co m for (int y = 0; y < src.getRowDimension(); y++) { for (int x = 0; x < src.getColumnDimension(); x++) { dst.set(y, x, src.getEntry(y, x)); } } }
From source file:gamlss.utilities.MatrixFunctions.java
/** * if the length of the return matrix is zero, * then the diff was not completed properly. * @param data - matrix/*ww w . j a v a 2 s .co m*/ * @return - matrix */ private static BlockRealMatrix getDiff(final BlockRealMatrix data) { double[][] newdata = new double[data.getRowDimension() - 1][data.getColumnDimension()]; for (int i = 0; i < newdata.length; i++) { for (int j = 0; j < newdata[i].length; j++) { newdata[i][j] = data.getEntry(i + 1, j) - data.getEntry(i, j); } } return new BlockRealMatrix(newdata); }
From source file:gamlss.utilities.MatrixFunctions.java
/** * Multiply vector with every row of the matrix. * @param v - vector/*from www . ja va 2 s . co m*/ * @param m - matrix * @return v*m */ public static BlockRealMatrix multVectorMatrix(final ArrayRealVector v, final BlockRealMatrix m) { BlockRealMatrix tempM = new BlockRealMatrix(m.getRowDimension(), m.getColumnDimension()); for (int i = 0; i < m.getColumnDimension(); i++) { tempM.setColumnVector(i, v.ebeMultiply(m.getColumnVector(i))); } return tempM; }
From source file:gamlss.utilities.MatrixFunctions.java
/** * Prints matrix values in the console./*from w w w . j ava2 s . c o m*/ * @param m - matrix to print */ public static void matrixPrint(final BlockRealMatrix m) { for (int i = 0; i < m.getRowDimension(); i++) { for (int j = 0; j < m.getColumnDimension(); j++) { System.out.print(m.getEntry(i, j)); System.out.print(" "); } System.out.println(); } System.out.println(" "); }
From source file:gamlss.utilities.MatrixFunctions.java
/** * Get main diagonal of the matrix.// w ww . jav a 2s . c o m * @param m - matrix * @return main diagonal as vector */ public static ArrayRealVector getMainDiagonal(final BlockRealMatrix m) { double[] tempArr = new double[m.getRowDimension()]; for (int i = 0; i < m.getColumnDimension(); i++) { for (int j = 0; j < m.getColumnDimension(); j++) { if (i == j) { tempArr[i] = m.getEntry(i, j); } } } return new ArrayRealVector(tempArr, false); }
From source file:gamlss.utilities.MatrixFunctions.java
/** * if the length of the return matrix is zero, * then the function was not completed properly. * Check the 'diff' operator. /*from ww w .jav a 2 s.c o m*/ * @param data - matrix * @param diff - difference value * @return matrix */ public static BlockRealMatrix diff(final BlockRealMatrix data, final int diff) { BlockRealMatrix newdata = new BlockRealMatrix(data.getRowDimension() - 1, data.getColumnDimension()); for (int i = 0; i < diff; i++) { if (i == 0) { newdata = getDiff(data); } else { newdata = getDiff(newdata); } } return newdata; }
From source file:gamlss.utilities.MatrixFunctions.java
/** * Append rows of the matrices.//from ww w. j ava2s .co m * @param m1 - first matrix * @param m2 - second matrix * @return m1.append.m2 */ public static BlockRealMatrix appendMatricesRows(final BlockRealMatrix m1, final BlockRealMatrix m2) { BlockRealMatrix out = new BlockRealMatrix(m1.getRowDimension(), m1.getColumnDimension() + m2.getColumnDimension()); for (int i = 0; i < m1.getRowDimension(); i++) { out.setRowVector(i, m1.getRowVector(i).append(m2.getRowVector(i))); } return out; }
From source file:gamlss.utilities.MatrixFunctions.java
/** * Write matrix values to CSV file.//from w w w. j a v a 2 s. com * @param cmd - path to the file * @param m - matrix to write */ public static void matrixWriteCSV(final String cmd, final BlockRealMatrix m) { try { // Create file FileWriter fstream = new FileWriter(cmd, false); BufferedWriter out = new BufferedWriter(fstream); for (int i = 0; i < m.getRowDimension(); i++) { for (int j = 0; j < m.getColumnDimension(); j++) { out.write(Double.toString(m.getEntry(i, j))); if (j < m.getColumnDimension() - 1) { out.append(','); } } out.newLine(); } out.close(); } catch (Exception e) { //Catch exception if any System.err.println("Error: " + e.getMessage()); } }
From source file:gamlss.smoothing.PB.java
/** * Constructs the base matrix.//from ww w .j a v a 2s .co m * @param colValues - values of the certain column of * the smooth matrix which corresponds to the * currently fitting distribution parameter * @return - base matrix */ //bbase <- function(x, xl, xr, ndx, deg, quantiles=FALSE) private static BlockRealMatrix formX(final ArrayRealVector colValues) { //control$inter <- if (lx<99) 10 else control$inter # //this is to prevent singularities when length(x) is small if (colValues.getDimension() < 99) { Controls.INTER = 10; } //xl <- min(x) double xl = colValues.getMinValue(); //xr <- max(x) double xr = colValues.getMaxValue(); //xmax <- xr + 0.01 * (xr - xl) double xmax = xr + 0.01 * (xr - xl); //xmin <- xl - 0.01 * (xr - xl) double xmin = xl - 0.01 * (xr - xl); //dx <- (xr - xl) / ndx double dx = (xmax - xmin) / Controls.INTER; //if (quantiles) # if true use splineDesign if (Controls.QUANTILES) { //knots <- sort(c(seq(xl-deg*dx, xl, dx),quantile(x, //prob=seq(0, 1, length=ndx)), seq(xr, xr+deg*dx, dx))) ArrayRealVector kts = null; //B <- splineDesign(knots, x = x, outer.ok = TRUE, ord=deg+1) //return(B) return null; } else { //kts <- seq(xl - deg * dx, xr + deg * dx, by = dx) //ArrayRealVector kts = new ArrayRealVector( //ArithmeticSeries.getSeries(xl-deg*dx, xr+deg*dx, dx),false); rConnection.assingVar("min", new double[] { xmin - Controls.DEGREE * dx }); rConnection.assingVar("max", new double[] { xmax + Controls.DEGREE * dx }); rConnection.assingVar("step", new double[] { dx }); ArrayRealVector kts = new ArrayRealVector( rConnection.runEvalDoubles("knots <- seq(min, max, by = step)")); //P <- outer(x, kts, FUN = tpower, deg) BlockRealMatrix pM = MatrixFunctions.outertpowerPB(colValues, kts, Controls.DEGREE); //D <- diff(diag(dim(P)[2]), //diff = deg + 1) / (gamma(deg + 1) * dx ^ deg) BlockRealMatrix tempM = MatrixFunctions .diff(MatrixFunctions.buildIdentityMatrix(pM.getColumnDimension()), Controls.DEGREE + 1); double[][] tempArrArr = new double[tempM.getRowDimension()][tempM.getColumnDimension()]; for (int i = 0; i < tempArrArr.length; i++) { for (int j = 0; j < tempArrArr[i].length; j++) { tempArrArr[i][j] = tempM.getEntry(i, j) / ((FastMath.exp(Gamma.logGamma(Controls.DEGREE + 1))) * FastMath.pow(dx, Controls.DEGREE)); } } tempM = new BlockRealMatrix(tempArrArr); //B <- (-1) ^ (deg + 1) * P %*% t(D) return (BlockRealMatrix) pM.multiply(tempM.transpose()) .scalarMultiply(FastMath.pow(-1, (Controls.DEGREE + 1))); } }
From source file:gamlss.smoothing.PB.java
/** * Constructs the penalty matrix.// w ww.j a v a 2 s . com * @param xM - base matrix * @return penalty matrix */ private BlockRealMatrix formD(final BlockRealMatrix xM) { tempArr = new double[xM.getColumnDimension()]; for (int i = 0; i < tempArr.length; i++) { tempArr[i] = 1.0; } if (Controls.ORDER == 0) { return new BlockRealMatrix(MatrixUtils.createRealDiagonalMatrix(tempArr).getData()); } else { return MatrixFunctions.diff( new BlockRealMatrix(MatrixUtils.createRealDiagonalMatrix(tempArr).getData()), Controls.ORDER); } }