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Statistical sampling library for use in virtdata libraries, based on apache commons math 4

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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.commons.math4.linear;

import java.io.Serializable;

import org.apache.commons.math4.Field;
import org.apache.commons.math4.FieldElement;
import org.apache.commons.math4.exception.DimensionMismatchException;
import org.apache.commons.math4.exception.MathIllegalStateException;
import org.apache.commons.math4.exception.NoDataException;
import org.apache.commons.math4.exception.NotStrictlyPositiveException;
import org.apache.commons.math4.exception.NullArgumentException;
import org.apache.commons.math4.exception.NumberIsTooSmallException;
import org.apache.commons.math4.exception.OutOfRangeException;
import org.apache.commons.math4.exception.util.LocalizedFormats;
import org.apache.commons.math4.util.MathArrays;
import org.apache.commons.math4.util.MathUtils;

/**
 * Implementation of {@code FieldMatrix} using a {@link FieldElement}[][] array to store entries.
 * 

* As specified in the {@link FieldMatrix} interface, matrix element indexing * is 0-based -- e.g., getEntry(0, 0) * returns the element in the first row, first column of the matrix. *

* * @param the type of the field elements */ public class Array2DRowFieldMatrix> extends AbstractFieldMatrix implements Serializable { /** Serializable version identifier */ private static final long serialVersionUID = 7260756672015356458L; /** Entries of the matrix */ private T[][] data; /** * Creates a matrix with no data * @param field field to which the elements belong */ public Array2DRowFieldMatrix(final Field field) { super(field); } /** * Create a new {@code FieldMatrix} with the supplied row and column dimensions. * * @param field Field to which the elements belong. * @param rowDimension Number of rows in the new matrix. * @param columnDimension Number of columns in the new matrix. * @throws NotStrictlyPositiveException if row or column dimension is not positive. */ public Array2DRowFieldMatrix(final Field field, final int rowDimension, final int columnDimension) throws NotStrictlyPositiveException { super(field, rowDimension, columnDimension); data = MathArrays.buildArray(field, rowDimension, columnDimension); } /** * Create a new {@code FieldMatrix} using the input array as the underlying * data array. *

The input array is copied, not referenced. This constructor has * the same effect as calling {@link #Array2DRowFieldMatrix(FieldElement[][], boolean)} * with the second argument set to {@code true}.

* * @param d Data for the new matrix. * @throws DimensionMismatchException if {@code d} is not rectangular. * @throws NullArgumentException if {@code d} is {@code null}. * @throws NoDataException if there are not at least one row and one column. * @see #Array2DRowFieldMatrix(FieldElement[][], boolean) */ public Array2DRowFieldMatrix(final T[][] d) throws DimensionMismatchException, NullArgumentException, NoDataException { this(extractField(d), d); } /** * Create a new {@code FieldMatrix} using the input array as the underlying * data array. *

The input array is copied, not referenced. This constructor has * the same effect as calling {@link #Array2DRowFieldMatrix(FieldElement[][], boolean)} * with the second argument set to {@code true}.

* * @param field Field to which the elements belong. * @param d Data for the new matrix. * @throws DimensionMismatchException if {@code d} is not rectangular. * @throws NullArgumentException if {@code d} is {@code null}. * @throws NoDataException if there are not at least one row and one column. * @see #Array2DRowFieldMatrix(FieldElement[][], boolean) */ public Array2DRowFieldMatrix(final Field field, final T[][] d) throws DimensionMismatchException, NullArgumentException, NoDataException { super(field); copyIn(d); } /** * Create a new {@code FieldMatrix} using the input array as the underlying * data array. *

If an array is built specially in order to be embedded in a * {@code FieldMatrix} and not used directly, the {@code copyArray} may be * set to {@code false}. This will prevent the copying and improve * performance as no new array will be built and no data will be copied.

* * @param d Data for the new matrix. * @param copyArray Whether to copy or reference the input array. * @throws DimensionMismatchException if {@code d} is not rectangular. * @throws NoDataException if there are not at least one row and one column. * @throws NullArgumentException if {@code d} is {@code null}. * @see #Array2DRowFieldMatrix(FieldElement[][]) */ public Array2DRowFieldMatrix(final T[][] d, final boolean copyArray) throws DimensionMismatchException, NoDataException, NullArgumentException { this(extractField(d), d, copyArray); } /** * Create a new {@code FieldMatrix} using the input array as the underlying * data array. *

If an array is built specially in order to be embedded in a * {@code FieldMatrix} and not used directly, the {@code copyArray} may be * set to {@code false}. This will prevent the copying and improve * performance as no new array will be built and no data will be copied.

* * @param field Field to which the elements belong. * @param d Data for the new matrix. * @param copyArray Whether to copy or reference the input array. * @throws DimensionMismatchException if {@code d} is not rectangular. * @throws NoDataException if there are not at least one row and one column. * @throws NullArgumentException if {@code d} is {@code null}. * @see #Array2DRowFieldMatrix(FieldElement[][]) */ public Array2DRowFieldMatrix(final Field field, final T[][] d, final boolean copyArray) throws DimensionMismatchException, NoDataException, NullArgumentException { super(field); if (copyArray) { copyIn(d); } else { MathUtils.checkNotNull(d); final int nRows = d.length; if (nRows == 0) { throw new NoDataException(LocalizedFormats.AT_LEAST_ONE_ROW); } final int nCols = d[0].length; if (nCols == 0) { throw new NoDataException(LocalizedFormats.AT_LEAST_ONE_COLUMN); } for (int r = 1; r < nRows; r++) { if (d[r].length != nCols) { throw new DimensionMismatchException(nCols, d[r].length); } } data = d; } } /** * Create a new (column) {@code FieldMatrix} using {@code v} as the * data for the unique column of the created matrix. * The input array is copied. * * @param v Column vector holding data for new matrix. * @throws NoDataException if v is empty */ public Array2DRowFieldMatrix(final T[] v) throws NoDataException { this(extractField(v), v); } /** * Create a new (column) {@code FieldMatrix} using {@code v} as the * data for the unique column of the created matrix. * The input array is copied. * * @param field Field to which the elements belong. * @param v Column vector holding data for new matrix. */ public Array2DRowFieldMatrix(final Field field, final T[] v) { super(field); final int nRows = v.length; data = MathArrays.buildArray(getField(), nRows, 1); for (int row = 0; row < nRows; row++) { data[row][0] = v[row]; } } /** {@inheritDoc} */ @Override public FieldMatrix createMatrix(final int rowDimension, final int columnDimension) throws NotStrictlyPositiveException { return new Array2DRowFieldMatrix<>(getField(), rowDimension, columnDimension); } /** {@inheritDoc} */ @Override public FieldMatrix copy() { return new Array2DRowFieldMatrix<>(getField(), copyOut(), false); } /** * Add {@code m} to this matrix. * * @param m Matrix to be added. * @return {@code this} + m. * @throws MatrixDimensionMismatchException if {@code m} is not the same * size as this matrix. */ public Array2DRowFieldMatrix add(final Array2DRowFieldMatrix m) throws MatrixDimensionMismatchException { // safety check checkAdditionCompatible(m); final int rowCount = getRowDimension(); final int columnCount = getColumnDimension(); final T[][] outData = MathArrays.buildArray(getField(), rowCount, columnCount); for (int row = 0; row < rowCount; row++) { final T[] dataRow = data[row]; final T[] mRow = m.data[row]; final T[] outDataRow = outData[row]; for (int col = 0; col < columnCount; col++) { outDataRow[col] = dataRow[col].add(mRow[col]); } } return new Array2DRowFieldMatrix<>(getField(), outData, false); } /** * Subtract {@code m} from this matrix. * * @param m Matrix to be subtracted. * @return {@code this} + m. * @throws MatrixDimensionMismatchException if {@code m} is not the same * size as this matrix. */ public Array2DRowFieldMatrix subtract(final Array2DRowFieldMatrix m) throws MatrixDimensionMismatchException { // safety check checkSubtractionCompatible(m); final int rowCount = getRowDimension(); final int columnCount = getColumnDimension(); final T[][] outData = MathArrays.buildArray(getField(), rowCount, columnCount); for (int row = 0; row < rowCount; row++) { final T[] dataRow = data[row]; final T[] mRow = m.data[row]; final T[] outDataRow = outData[row]; for (int col = 0; col < columnCount; col++) { outDataRow[col] = dataRow[col].subtract(mRow[col]); } } return new Array2DRowFieldMatrix<>(getField(), outData, false); } /** * Postmultiplying this matrix by {@code m}. * * @param m Matrix to postmultiply by. * @return {@code this} * m. * @throws DimensionMismatchException if the number of columns of this * matrix is not equal to the number of rows of {@code m}. */ public Array2DRowFieldMatrix multiply(final Array2DRowFieldMatrix m) throws DimensionMismatchException { // safety check checkMultiplicationCompatible(m); final int nRows = this.getRowDimension(); final int nCols = m.getColumnDimension(); final int nSum = this.getColumnDimension(); final T[][] outData = MathArrays.buildArray(getField(), nRows, nCols); for (int row = 0; row < nRows; row++) { final T[] dataRow = data[row]; final T[] outDataRow = outData[row]; for (int col = 0; col < nCols; col++) { T sum = getField().getZero(); for (int i = 0; i < nSum; i++) { sum = sum.add(dataRow[i].multiply(m.data[i][col])); } outDataRow[col] = sum; } } return new Array2DRowFieldMatrix<>(getField(), outData, false); } /** {@inheritDoc} */ @Override public T[][] getData() { return copyOut(); } /** * Get a reference to the underlying data array. * This methods returns internal data, not fresh copy of it. * * @return the 2-dimensional array of entries. */ public T[][] getDataRef() { return data; } /** {@inheritDoc} */ @Override public void setSubMatrix(final T[][] subMatrix, final int row, final int column) throws OutOfRangeException, NullArgumentException, NoDataException, DimensionMismatchException { if (data == null) { if (row > 0) { throw new MathIllegalStateException(LocalizedFormats.FIRST_ROWS_NOT_INITIALIZED_YET, row); } if (column > 0) { throw new MathIllegalStateException(LocalizedFormats.FIRST_COLUMNS_NOT_INITIALIZED_YET, column); } final int nRows = subMatrix.length; if (nRows == 0) { throw new NoDataException(LocalizedFormats.AT_LEAST_ONE_ROW); } final int nCols = subMatrix[0].length; if (nCols == 0) { throw new NoDataException(LocalizedFormats.AT_LEAST_ONE_COLUMN); } data = MathArrays.buildArray(getField(), subMatrix.length, nCols); for (int i = 0; i < data.length; ++i) { if (subMatrix[i].length != nCols) { throw new DimensionMismatchException(nCols, subMatrix[i].length); } System.arraycopy(subMatrix[i], 0, data[i + row], column, nCols); } } else { super.setSubMatrix(subMatrix, row, column); } } /** {@inheritDoc} */ @Override public T getEntry(final int row, final int column) throws OutOfRangeException { checkRowIndex(row); checkColumnIndex(column); return data[row][column]; } /** {@inheritDoc} */ @Override public void setEntry(final int row, final int column, final T value) throws OutOfRangeException { checkRowIndex(row); checkColumnIndex(column); data[row][column] = value; } /** {@inheritDoc} */ @Override public void addToEntry(final int row, final int column, final T increment) throws OutOfRangeException { checkRowIndex(row); checkColumnIndex(column); data[row][column] = data[row][column].add(increment); } /** {@inheritDoc} */ @Override public void multiplyEntry(final int row, final int column, final T factor) throws OutOfRangeException { checkRowIndex(row); checkColumnIndex(column); data[row][column] = data[row][column].multiply(factor); } /** {@inheritDoc} */ @Override public int getRowDimension() { return (data == null) ? 0 : data.length; } /** {@inheritDoc} */ @Override public int getColumnDimension() { return ((data == null) || (data[0] == null)) ? 0 : data[0].length; } /** {@inheritDoc} */ @Override public T[] operate(final T[] v) throws DimensionMismatchException { final int nRows = this.getRowDimension(); final int nCols = this.getColumnDimension(); if (v.length != nCols) { throw new DimensionMismatchException(v.length, nCols); } final T[] out = MathArrays.buildArray(getField(), nRows); for (int row = 0; row < nRows; row++) { final T[] dataRow = data[row]; T sum = getField().getZero(); for (int i = 0; i < nCols; i++) { sum = sum.add(dataRow[i].multiply(v[i])); } out[row] = sum; } return out; } /** {@inheritDoc} */ @Override public T[] preMultiply(final T[] v) throws DimensionMismatchException { final int nRows = getRowDimension(); final int nCols = getColumnDimension(); if (v.length != nRows) { throw new DimensionMismatchException(v.length, nRows); } final T[] out = MathArrays.buildArray(getField(), nCols); for (int col = 0; col < nCols; ++col) { T sum = getField().getZero(); for (int i = 0; i < nRows; ++i) { sum = sum.add(data[i][col].multiply(v[i])); } out[col] = sum; } return out; } /** {@inheritDoc} */ @Override public T walkInRowOrder(final FieldMatrixChangingVisitor visitor) { final int rows = getRowDimension(); final int columns = getColumnDimension(); visitor.start(rows, columns, 0, rows - 1, 0, columns - 1); for (int i = 0; i < rows; ++i) { final T[] rowI = data[i]; for (int j = 0; j < columns; ++j) { rowI[j] = visitor.visit(i, j, rowI[j]); } } return visitor.end(); } /** {@inheritDoc} */ @Override public T walkInRowOrder(final FieldMatrixPreservingVisitor visitor) { final int rows = getRowDimension(); final int columns = getColumnDimension(); visitor.start(rows, columns, 0, rows - 1, 0, columns - 1); for (int i = 0; i < rows; ++i) { final T[] rowI = data[i]; for (int j = 0; j < columns; ++j) { visitor.visit(i, j, rowI[j]); } } return visitor.end(); } /** {@inheritDoc} */ @Override public T walkInRowOrder(final FieldMatrixChangingVisitor visitor, final int startRow, final int endRow, final int startColumn, final int endColumn) throws OutOfRangeException, NumberIsTooSmallException { checkSubMatrixIndex(startRow, endRow, startColumn, endColumn); visitor.start(getRowDimension(), getColumnDimension(), startRow, endRow, startColumn, endColumn); for (int i = startRow; i <= endRow; ++i) { final T[] rowI = data[i]; for (int j = startColumn; j <= endColumn; ++j) { rowI[j] = visitor.visit(i, j, rowI[j]); } } return visitor.end(); } /** {@inheritDoc} */ @Override public T walkInRowOrder(final FieldMatrixPreservingVisitor visitor, final int startRow, final int endRow, final int startColumn, final int endColumn) throws OutOfRangeException, NumberIsTooSmallException { checkSubMatrixIndex(startRow, endRow, startColumn, endColumn); visitor.start(getRowDimension(), getColumnDimension(), startRow, endRow, startColumn, endColumn); for (int i = startRow; i <= endRow; ++i) { final T[] rowI = data[i]; for (int j = startColumn; j <= endColumn; ++j) { visitor.visit(i, j, rowI[j]); } } return visitor.end(); } /** {@inheritDoc} */ @Override public T walkInColumnOrder(final FieldMatrixChangingVisitor visitor) { final int rows = getRowDimension(); final int columns = getColumnDimension(); visitor.start(rows, columns, 0, rows - 1, 0, columns - 1); for (int j = 0; j < columns; ++j) { for (int i = 0; i < rows; ++i) { final T[] rowI = data[i]; rowI[j] = visitor.visit(i, j, rowI[j]); } } return visitor.end(); } /** {@inheritDoc} */ @Override public T walkInColumnOrder(final FieldMatrixPreservingVisitor visitor) { final int rows = getRowDimension(); final int columns = getColumnDimension(); visitor.start(rows, columns, 0, rows - 1, 0, columns - 1); for (int j = 0; j < columns; ++j) { for (int i = 0; i < rows; ++i) { visitor.visit(i, j, data[i][j]); } } return visitor.end(); } /** {@inheritDoc} */ @Override public T walkInColumnOrder(final FieldMatrixChangingVisitor visitor, final int startRow, final int endRow, final int startColumn, final int endColumn) throws OutOfRangeException, NumberIsTooSmallException { checkSubMatrixIndex(startRow, endRow, startColumn, endColumn); visitor.start(getRowDimension(), getColumnDimension(), startRow, endRow, startColumn, endColumn); for (int j = startColumn; j <= endColumn; ++j) { for (int i = startRow; i <= endRow; ++i) { final T[] rowI = data[i]; rowI[j] = visitor.visit(i, j, rowI[j]); } } return visitor.end(); } /** {@inheritDoc} */ @Override public T walkInColumnOrder(final FieldMatrixPreservingVisitor visitor, final int startRow, final int endRow, final int startColumn, final int endColumn) throws OutOfRangeException, NumberIsTooSmallException { checkSubMatrixIndex(startRow, endRow, startColumn, endColumn); visitor.start(getRowDimension(), getColumnDimension(), startRow, endRow, startColumn, endColumn); for (int j = startColumn; j <= endColumn; ++j) { for (int i = startRow; i <= endRow; ++i) { visitor.visit(i, j, data[i][j]); } } return visitor.end(); } /** * Get a fresh copy of the underlying data array. * * @return a copy of the underlying data array. */ private T[][] copyOut() { final int nRows = this.getRowDimension(); final T[][] out = MathArrays.buildArray(getField(), nRows, getColumnDimension()); // can't copy 2-d array in one shot, otherwise get row references for (int i = 0; i < nRows; i++) { System.arraycopy(data[i], 0, out[i], 0, data[i].length); } return out; } /** * Replace data with a fresh copy of the input array. * * @param in Data to copy. * @throws NoDataException if the input array is empty. * @throws DimensionMismatchException if the input array is not rectangular. * @throws NullArgumentException if the input array is {@code null}. */ private void copyIn(final T[][] in) throws NullArgumentException, NoDataException, DimensionMismatchException { setSubMatrix(in, 0, 0); } }




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