| /* |
| * 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 java.util.Arrays; |
| |
| import org.apache.commons.math4.exception.DimensionMismatchException; |
| 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.FastMath; |
| import org.apache.commons.math4.util.MathUtils; |
| |
| /** |
| * Cache-friendly implementation of RealMatrix using a flat arrays to store |
| * square blocks of the matrix. |
| * <p> |
| * This implementation is specially designed to be cache-friendly. Square blocks are |
| * stored as small arrays and allow efficient traversal of data both in row major direction |
| * and columns major direction, one block at a time. This greatly increases performances |
| * for algorithms that use crossed directions loops like multiplication or transposition. |
| * </p> |
| * <p> |
| * The size of square blocks is a static parameter. It may be tuned according to the cache |
| * size of the target computer processor. As a rule of thumbs, it should be the largest |
| * value that allows three blocks to be simultaneously cached (this is necessary for example |
| * for matrix multiplication). The default value is to use 52x52 blocks which is well suited |
| * for processors with 64k L1 cache (one block holds 2704 values or 21632 bytes). This value |
| * could be lowered to 36x36 for processors with 32k L1 cache. |
| * </p> |
| * <p> |
| * The regular blocks represent {@link #BLOCK_SIZE} x {@link #BLOCK_SIZE} squares. Blocks |
| * at right hand side and bottom side which may be smaller to fit matrix dimensions. The square |
| * blocks are flattened in row major order in single dimension arrays which are therefore |
| * {@link #BLOCK_SIZE}<sup>2</sup> elements long for regular blocks. The blocks are themselves |
| * organized in row major order. |
| * </p> |
| * <p> |
| * As an example, for a block size of 52x52, a 100x60 matrix would be stored in 4 blocks. |
| * Block 0 would be a double[2704] array holding the upper left 52x52 square, block 1 would be |
| * a double[416] array holding the upper right 52x8 rectangle, block 2 would be a double[2496] |
| * array holding the lower left 48x52 rectangle and block 3 would be a double[384] array |
| * holding the lower right 48x8 rectangle. |
| * </p> |
| * <p> |
| * The layout complexity overhead versus simple mapping of matrices to java |
| * arrays is negligible for small matrices (about 1%). The gain from cache efficiency leads |
| * to up to 3-fold improvements for matrices of moderate to large size. |
| * </p> |
| * @since 2.0 |
| */ |
| public class BlockRealMatrix extends AbstractRealMatrix implements Serializable { |
| /** Block size. */ |
| public static final int BLOCK_SIZE = 52; |
| /** Serializable version identifier */ |
| private static final long serialVersionUID = 4991895511313664478L; |
| /** Blocks of matrix entries. */ |
| private final double blocks[][]; |
| /** Number of rows of the matrix. */ |
| private final int rows; |
| /** Number of columns of the matrix. */ |
| private final int columns; |
| /** Number of block rows of the matrix. */ |
| private final int blockRows; |
| /** Number of block columns of the matrix. */ |
| private final int blockColumns; |
| |
| /** |
| * Create a new matrix with the supplied row and column dimensions. |
| * |
| * @param rows the number of rows in the new matrix |
| * @param columns the number of columns in the new matrix |
| * @throws NotStrictlyPositiveException if row or column dimension is not |
| * positive. |
| */ |
| public BlockRealMatrix(final int rows, final int columns) |
| throws NotStrictlyPositiveException { |
| super(rows, columns); |
| this.rows = rows; |
| this.columns = columns; |
| |
| // number of blocks |
| blockRows = (rows + BLOCK_SIZE - 1) / BLOCK_SIZE; |
| blockColumns = (columns + BLOCK_SIZE - 1) / BLOCK_SIZE; |
| |
| // allocate storage blocks, taking care of smaller ones at right and bottom |
| blocks = createBlocksLayout(rows, columns); |
| } |
| |
| /** |
| * Create a new dense matrix copying entries from raw layout data. |
| * <p>The input array <em>must</em> already be in raw layout.</p> |
| * <p>Calling this constructor is equivalent to call: |
| * <pre>matrix = new BlockRealMatrix(rawData.length, rawData[0].length, |
| * toBlocksLayout(rawData), false);</pre> |
| * |
| * @param rawData data for new matrix, in raw layout |
| * @throws DimensionMismatchException if the shape of {@code blockData} is |
| * inconsistent with block layout. |
| * @throws NotStrictlyPositiveException if row or column dimension is not |
| * positive. |
| * @see #BlockRealMatrix(int, int, double[][], boolean) |
| */ |
| public BlockRealMatrix(final double[][] rawData) |
| throws DimensionMismatchException, NotStrictlyPositiveException { |
| this(rawData.length, rawData[0].length, toBlocksLayout(rawData), false); |
| } |
| |
| /** |
| * Create a new dense matrix copying entries from block layout data. |
| * <p>The input array <em>must</em> already be in blocks layout.</p> |
| * |
| * @param rows Number of rows in the new matrix. |
| * @param columns Number of columns in the new matrix. |
| * @param blockData data for new matrix |
| * @param copyArray Whether the input array will be copied or referenced. |
| * @throws DimensionMismatchException if the shape of {@code blockData} is |
| * inconsistent with block layout. |
| * @throws NotStrictlyPositiveException if row or column dimension is not |
| * positive. |
| * @see #createBlocksLayout(int, int) |
| * @see #toBlocksLayout(double[][]) |
| * @see #BlockRealMatrix(double[][]) |
| */ |
| public BlockRealMatrix(final int rows, final int columns, |
| final double[][] blockData, final boolean copyArray) |
| throws DimensionMismatchException, NotStrictlyPositiveException { |
| super(rows, columns); |
| this.rows = rows; |
| this.columns = columns; |
| |
| // number of blocks |
| blockRows = (rows + BLOCK_SIZE - 1) / BLOCK_SIZE; |
| blockColumns = (columns + BLOCK_SIZE - 1) / BLOCK_SIZE; |
| |
| if (copyArray) { |
| // allocate storage blocks, taking care of smaller ones at right and bottom |
| blocks = new double[blockRows * blockColumns][]; |
| } else { |
| // reference existing array |
| blocks = blockData; |
| } |
| |
| int index = 0; |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int iHeight = blockHeight(iBlock); |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock, ++index) { |
| if (blockData[index].length != iHeight * blockWidth(jBlock)) { |
| throw new DimensionMismatchException(blockData[index].length, |
| iHeight * blockWidth(jBlock)); |
| } |
| if (copyArray) { |
| blocks[index] = blockData[index].clone(); |
| } |
| } |
| } |
| } |
| |
| /** |
| * Convert a data array from raw layout to blocks layout. |
| * <p> |
| * Raw layout is the straightforward layout where element at row i and |
| * column j is in array element <code>rawData[i][j]</code>. Blocks layout |
| * is the layout used in {@link BlockRealMatrix} instances, where the matrix |
| * is split in square blocks (except at right and bottom side where blocks may |
| * be rectangular to fit matrix size) and each block is stored in a flattened |
| * one-dimensional array. |
| * </p> |
| * <p> |
| * This method creates an array in blocks layout from an input array in raw layout. |
| * It can be used to provide the array argument of the {@link |
| * #BlockRealMatrix(int, int, double[][], boolean)} constructor. |
| * </p> |
| * @param rawData Data array in raw layout. |
| * @return a new data array containing the same entries but in blocks layout. |
| * @throws DimensionMismatchException if {@code rawData} is not rectangular. |
| * @see #createBlocksLayout(int, int) |
| * @see #BlockRealMatrix(int, int, double[][], boolean) |
| */ |
| public static double[][] toBlocksLayout(final double[][] rawData) |
| throws DimensionMismatchException { |
| final int rows = rawData.length; |
| final int columns = rawData[0].length; |
| final int blockRows = (rows + BLOCK_SIZE - 1) / BLOCK_SIZE; |
| final int blockColumns = (columns + BLOCK_SIZE - 1) / BLOCK_SIZE; |
| |
| // safety checks |
| for (int i = 0; i < rawData.length; ++i) { |
| final int length = rawData[i].length; |
| if (length != columns) { |
| throw new DimensionMismatchException(columns, length); |
| } |
| } |
| |
| // convert array |
| final double[][] blocks = new double[blockRows * blockColumns][]; |
| int blockIndex = 0; |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| final int iHeight = pEnd - pStart; |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final int qStart = jBlock * BLOCK_SIZE; |
| final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns); |
| final int jWidth = qEnd - qStart; |
| |
| // allocate new block |
| final double[] block = new double[iHeight * jWidth]; |
| blocks[blockIndex] = block; |
| |
| // copy data |
| int index = 0; |
| for (int p = pStart; p < pEnd; ++p) { |
| System.arraycopy(rawData[p], qStart, block, index, jWidth); |
| index += jWidth; |
| } |
| ++blockIndex; |
| } |
| } |
| |
| return blocks; |
| } |
| |
| /** |
| * Create a data array in blocks layout. |
| * <p> |
| * This method can be used to create the array argument of the {@link |
| * #BlockRealMatrix(int, int, double[][], boolean)} constructor. |
| * </p> |
| * @param rows Number of rows in the new matrix. |
| * @param columns Number of columns in the new matrix. |
| * @return a new data array in blocks layout. |
| * @see #toBlocksLayout(double[][]) |
| * @see #BlockRealMatrix(int, int, double[][], boolean) |
| */ |
| public static double[][] createBlocksLayout(final int rows, final int columns) { |
| final int blockRows = (rows + BLOCK_SIZE - 1) / BLOCK_SIZE; |
| final int blockColumns = (columns + BLOCK_SIZE - 1) / BLOCK_SIZE; |
| |
| final double[][] blocks = new double[blockRows * blockColumns][]; |
| int blockIndex = 0; |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| final int iHeight = pEnd - pStart; |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final int qStart = jBlock * BLOCK_SIZE; |
| final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns); |
| final int jWidth = qEnd - qStart; |
| blocks[blockIndex] = new double[iHeight * jWidth]; |
| ++blockIndex; |
| } |
| } |
| |
| return blocks; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public BlockRealMatrix createMatrix(final int rowDimension, |
| final int columnDimension) |
| throws NotStrictlyPositiveException { |
| return new BlockRealMatrix(rowDimension, columnDimension); |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public BlockRealMatrix copy() { |
| // create an empty matrix |
| BlockRealMatrix copied = new BlockRealMatrix(rows, columns); |
| |
| // copy the blocks |
| for (int i = 0; i < blocks.length; ++i) { |
| System.arraycopy(blocks[i], 0, copied.blocks[i], 0, blocks[i].length); |
| } |
| |
| return copied; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public BlockRealMatrix add(final RealMatrix m) |
| throws MatrixDimensionMismatchException { |
| if (m instanceof BlockRealMatrix) { |
| return add((BlockRealMatrix) m); |
| } |
| |
| // safety check |
| checkAdd(m); |
| |
| final BlockRealMatrix out = new BlockRealMatrix(rows, columns); |
| |
| // perform addition block-wise, to ensure good cache behavior |
| int blockIndex = 0; |
| for (int iBlock = 0; iBlock < out.blockRows; ++iBlock) { |
| for (int jBlock = 0; jBlock < out.blockColumns; ++jBlock) { |
| |
| // perform addition on the current block |
| final double[] outBlock = out.blocks[blockIndex]; |
| final double[] tBlock = blocks[blockIndex]; |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| final int qStart = jBlock * BLOCK_SIZE; |
| final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns); |
| int k = 0; |
| for (int p = pStart; p < pEnd; ++p) { |
| for (int q = qStart; q < qEnd; ++q) { |
| outBlock[k] = tBlock[k] + m.getEntry(p, q); |
| ++k; |
| } |
| } |
| // go to next block |
| ++blockIndex; |
| } |
| } |
| |
| return out; |
| } |
| |
| /** |
| * Compute the sum of this matrix and {@code m}. |
| * |
| * @param m Matrix to be added. |
| * @return {@code this} + m. |
| * @throws MatrixDimensionMismatchException if {@code m} is not the same |
| * size as this matrix. |
| */ |
| public BlockRealMatrix add(final BlockRealMatrix m) |
| throws MatrixDimensionMismatchException { |
| // safety check |
| checkAdd(m); |
| |
| final BlockRealMatrix out = new BlockRealMatrix(rows, columns); |
| |
| // perform addition block-wise, to ensure good cache behavior |
| for (int blockIndex = 0; blockIndex < out.blocks.length; ++blockIndex) { |
| final double[] outBlock = out.blocks[blockIndex]; |
| final double[] tBlock = blocks[blockIndex]; |
| final double[] mBlock = m.blocks[blockIndex]; |
| for (int k = 0; k < outBlock.length; ++k) { |
| outBlock[k] = tBlock[k] + mBlock[k]; |
| } |
| } |
| |
| return out; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public BlockRealMatrix subtract(final RealMatrix m) |
| throws MatrixDimensionMismatchException { |
| if (m instanceof BlockRealMatrix) { |
| return subtract((BlockRealMatrix) m); |
| } |
| |
| // safety check |
| checkAdd(m); |
| |
| final BlockRealMatrix out = new BlockRealMatrix(rows, columns); |
| |
| // perform subtraction block-wise, to ensure good cache behavior |
| int blockIndex = 0; |
| for (int iBlock = 0; iBlock < out.blockRows; ++iBlock) { |
| for (int jBlock = 0; jBlock < out.blockColumns; ++jBlock) { |
| |
| // perform subtraction on the current block |
| final double[] outBlock = out.blocks[blockIndex]; |
| final double[] tBlock = blocks[blockIndex]; |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| final int qStart = jBlock * BLOCK_SIZE; |
| final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns); |
| int k = 0; |
| for (int p = pStart; p < pEnd; ++p) { |
| for (int q = qStart; q < qEnd; ++q) { |
| outBlock[k] = tBlock[k] - m.getEntry(p, q); |
| ++k; |
| } |
| } |
| // go to next block |
| ++blockIndex; |
| } |
| } |
| |
| return out; |
| } |
| |
| /** |
| * 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 BlockRealMatrix subtract(final BlockRealMatrix m) |
| throws MatrixDimensionMismatchException { |
| // safety check |
| checkAdd(m); |
| |
| final BlockRealMatrix out = new BlockRealMatrix(rows, columns); |
| |
| // perform subtraction block-wise, to ensure good cache behavior |
| for (int blockIndex = 0; blockIndex < out.blocks.length; ++blockIndex) { |
| final double[] outBlock = out.blocks[blockIndex]; |
| final double[] tBlock = blocks[blockIndex]; |
| final double[] mBlock = m.blocks[blockIndex]; |
| for (int k = 0; k < outBlock.length; ++k) { |
| outBlock[k] = tBlock[k] - mBlock[k]; |
| } |
| } |
| |
| return out; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public BlockRealMatrix scalarAdd(final double d) { |
| |
| final BlockRealMatrix out = new BlockRealMatrix(rows, columns); |
| |
| // perform subtraction block-wise, to ensure good cache behavior |
| for (int blockIndex = 0; blockIndex < out.blocks.length; ++blockIndex) { |
| final double[] outBlock = out.blocks[blockIndex]; |
| final double[] tBlock = blocks[blockIndex]; |
| for (int k = 0; k < outBlock.length; ++k) { |
| outBlock[k] = tBlock[k] + d; |
| } |
| } |
| |
| return out; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public RealMatrix scalarMultiply(final double d) { |
| final BlockRealMatrix out = new BlockRealMatrix(rows, columns); |
| |
| // perform subtraction block-wise, to ensure good cache behavior |
| for (int blockIndex = 0; blockIndex < out.blocks.length; ++blockIndex) { |
| final double[] outBlock = out.blocks[blockIndex]; |
| final double[] tBlock = blocks[blockIndex]; |
| for (int k = 0; k < outBlock.length; ++k) { |
| outBlock[k] = tBlock[k] * d; |
| } |
| } |
| |
| return out; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public BlockRealMatrix multiply(final RealMatrix m) |
| throws DimensionMismatchException { |
| if (m instanceof BlockRealMatrix) { |
| return multiply((BlockRealMatrix) m); |
| } |
| |
| // safety check |
| checkMultiply(m); |
| |
| final BlockRealMatrix out = new BlockRealMatrix(rows, m.getColumnDimension()); |
| |
| // perform multiplication block-wise, to ensure good cache behavior |
| int blockIndex = 0; |
| for (int iBlock = 0; iBlock < out.blockRows; ++iBlock) { |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| |
| for (int jBlock = 0; jBlock < out.blockColumns; ++jBlock) { |
| final int qStart = jBlock * BLOCK_SIZE; |
| final int qEnd = FastMath.min(qStart + BLOCK_SIZE, m.getColumnDimension()); |
| |
| // select current block |
| final double[] outBlock = out.blocks[blockIndex]; |
| |
| // perform multiplication on current block |
| for (int kBlock = 0; kBlock < blockColumns; ++kBlock) { |
| final int kWidth = blockWidth(kBlock); |
| final double[] tBlock = blocks[iBlock * blockColumns + kBlock]; |
| final int rStart = kBlock * BLOCK_SIZE; |
| int k = 0; |
| for (int p = pStart; p < pEnd; ++p) { |
| final int lStart = (p - pStart) * kWidth; |
| final int lEnd = lStart + kWidth; |
| for (int q = qStart; q < qEnd; ++q) { |
| double sum = 0; |
| int r = rStart; |
| for (int l = lStart; l < lEnd; ++l) { |
| sum += tBlock[l] * m.getEntry(r, q); |
| ++r; |
| } |
| outBlock[k] += sum; |
| ++k; |
| } |
| } |
| } |
| // go to next block |
| ++blockIndex; |
| } |
| } |
| |
| return out; |
| } |
| |
| /** |
| * Returns the result of postmultiplying this by {@code m}. |
| * |
| * @param m Matrix to postmultiply by. |
| * @return {@code this} * m. |
| * @throws DimensionMismatchException if the matrices are not compatible. |
| */ |
| public BlockRealMatrix multiply(BlockRealMatrix m) |
| throws DimensionMismatchException { |
| // safety check |
| checkMultiply(m); |
| |
| final BlockRealMatrix out = new BlockRealMatrix(rows, m.columns); |
| |
| // perform multiplication block-wise, to ensure good cache behavior |
| int blockIndex = 0; |
| for (int iBlock = 0; iBlock < out.blockRows; ++iBlock) { |
| |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| |
| for (int jBlock = 0; jBlock < out.blockColumns; ++jBlock) { |
| final int jWidth = out.blockWidth(jBlock); |
| final int jWidth2 = jWidth + jWidth; |
| final int jWidth3 = jWidth2 + jWidth; |
| final int jWidth4 = jWidth3 + jWidth; |
| |
| // select current block |
| final double[] outBlock = out.blocks[blockIndex]; |
| |
| // perform multiplication on current block |
| for (int kBlock = 0; kBlock < blockColumns; ++kBlock) { |
| final int kWidth = blockWidth(kBlock); |
| final double[] tBlock = blocks[iBlock * blockColumns + kBlock]; |
| final double[] mBlock = m.blocks[kBlock * m.blockColumns + jBlock]; |
| int k = 0; |
| for (int p = pStart; p < pEnd; ++p) { |
| final int lStart = (p - pStart) * kWidth; |
| final int lEnd = lStart + kWidth; |
| for (int nStart = 0; nStart < jWidth; ++nStart) { |
| double sum = 0; |
| int l = lStart; |
| int n = nStart; |
| while (l < lEnd - 3) { |
| sum += tBlock[l] * mBlock[n] + |
| tBlock[l + 1] * mBlock[n + jWidth] + |
| tBlock[l + 2] * mBlock[n + jWidth2] + |
| tBlock[l + 3] * mBlock[n + jWidth3]; |
| l += 4; |
| n += jWidth4; |
| } |
| while (l < lEnd) { |
| sum += tBlock[l++] * mBlock[n]; |
| n += jWidth; |
| } |
| outBlock[k] += sum; |
| ++k; |
| } |
| } |
| } |
| // go to next block |
| ++blockIndex; |
| } |
| } |
| |
| return out; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double[][] getData() { |
| final double[][] data = new double[getRowDimension()][getColumnDimension()]; |
| final int lastColumns = columns - (blockColumns - 1) * BLOCK_SIZE; |
| |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| int regularPos = 0; |
| int lastPos = 0; |
| for (int p = pStart; p < pEnd; ++p) { |
| final double[] dataP = data[p]; |
| int blockIndex = iBlock * blockColumns; |
| int dataPos = 0; |
| for (int jBlock = 0; jBlock < blockColumns - 1; ++jBlock) { |
| System.arraycopy(blocks[blockIndex++], regularPos, dataP, dataPos, BLOCK_SIZE); |
| dataPos += BLOCK_SIZE; |
| } |
| System.arraycopy(blocks[blockIndex], lastPos, dataP, dataPos, lastColumns); |
| regularPos += BLOCK_SIZE; |
| lastPos += lastColumns; |
| } |
| } |
| |
| return data; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double getNorm() { |
| final double[] colSums = new double[BLOCK_SIZE]; |
| double maxColSum = 0; |
| for (int jBlock = 0; jBlock < blockColumns; jBlock++) { |
| final int jWidth = blockWidth(jBlock); |
| Arrays.fill(colSums, 0, jWidth, 0.0); |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int iHeight = blockHeight(iBlock); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| for (int j = 0; j < jWidth; ++j) { |
| double sum = 0; |
| for (int i = 0; i < iHeight; ++i) { |
| sum += FastMath.abs(block[i * jWidth + j]); |
| } |
| colSums[j] += sum; |
| } |
| } |
| for (int j = 0; j < jWidth; ++j) { |
| maxColSum = FastMath.max(maxColSum, colSums[j]); |
| } |
| } |
| return maxColSum; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double getFrobeniusNorm() { |
| double sum2 = 0; |
| for (int blockIndex = 0; blockIndex < blocks.length; ++blockIndex) { |
| for (final double entry : blocks[blockIndex]) { |
| sum2 += entry * entry; |
| } |
| } |
| return FastMath.sqrt(sum2); |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public BlockRealMatrix getSubMatrix(final int startRow, final int endRow, |
| final int startColumn, |
| final int endColumn) |
| throws OutOfRangeException, NumberIsTooSmallException { |
| // safety checks |
| MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn); |
| |
| // create the output matrix |
| final BlockRealMatrix out = |
| new BlockRealMatrix(endRow - startRow + 1, endColumn - startColumn + 1); |
| |
| // compute blocks shifts |
| final int blockStartRow = startRow / BLOCK_SIZE; |
| final int rowsShift = startRow % BLOCK_SIZE; |
| final int blockStartColumn = startColumn / BLOCK_SIZE; |
| final int columnsShift = startColumn % BLOCK_SIZE; |
| |
| // perform extraction block-wise, to ensure good cache behavior |
| int pBlock = blockStartRow; |
| for (int iBlock = 0; iBlock < out.blockRows; ++iBlock) { |
| final int iHeight = out.blockHeight(iBlock); |
| int qBlock = blockStartColumn; |
| for (int jBlock = 0; jBlock < out.blockColumns; ++jBlock) { |
| final int jWidth = out.blockWidth(jBlock); |
| |
| // handle one block of the output matrix |
| final int outIndex = iBlock * out.blockColumns + jBlock; |
| final double[] outBlock = out.blocks[outIndex]; |
| final int index = pBlock * blockColumns + qBlock; |
| final int width = blockWidth(qBlock); |
| |
| final int heightExcess = iHeight + rowsShift - BLOCK_SIZE; |
| final int widthExcess = jWidth + columnsShift - BLOCK_SIZE; |
| if (heightExcess > 0) { |
| // the submatrix block spans on two blocks rows from the original matrix |
| if (widthExcess > 0) { |
| // the submatrix block spans on two blocks columns from the original matrix |
| final int width2 = blockWidth(qBlock + 1); |
| copyBlockPart(blocks[index], width, |
| rowsShift, BLOCK_SIZE, |
| columnsShift, BLOCK_SIZE, |
| outBlock, jWidth, 0, 0); |
| copyBlockPart(blocks[index + 1], width2, |
| rowsShift, BLOCK_SIZE, |
| 0, widthExcess, |
| outBlock, jWidth, 0, jWidth - widthExcess); |
| copyBlockPart(blocks[index + blockColumns], width, |
| 0, heightExcess, |
| columnsShift, BLOCK_SIZE, |
| outBlock, jWidth, iHeight - heightExcess, 0); |
| copyBlockPart(blocks[index + blockColumns + 1], width2, |
| 0, heightExcess, |
| 0, widthExcess, |
| outBlock, jWidth, iHeight - heightExcess, jWidth - widthExcess); |
| } else { |
| // the submatrix block spans on one block column from the original matrix |
| copyBlockPart(blocks[index], width, |
| rowsShift, BLOCK_SIZE, |
| columnsShift, jWidth + columnsShift, |
| outBlock, jWidth, 0, 0); |
| copyBlockPart(blocks[index + blockColumns], width, |
| 0, heightExcess, |
| columnsShift, jWidth + columnsShift, |
| outBlock, jWidth, iHeight - heightExcess, 0); |
| } |
| } else { |
| // the submatrix block spans on one block row from the original matrix |
| if (widthExcess > 0) { |
| // the submatrix block spans on two blocks columns from the original matrix |
| final int width2 = blockWidth(qBlock + 1); |
| copyBlockPart(blocks[index], width, |
| rowsShift, iHeight + rowsShift, |
| columnsShift, BLOCK_SIZE, |
| outBlock, jWidth, 0, 0); |
| copyBlockPart(blocks[index + 1], width2, |
| rowsShift, iHeight + rowsShift, |
| 0, widthExcess, |
| outBlock, jWidth, 0, jWidth - widthExcess); |
| } else { |
| // the submatrix block spans on one block column from the original matrix |
| copyBlockPart(blocks[index], width, |
| rowsShift, iHeight + rowsShift, |
| columnsShift, jWidth + columnsShift, |
| outBlock, jWidth, 0, 0); |
| } |
| } |
| ++qBlock; |
| } |
| ++pBlock; |
| } |
| |
| return out; |
| } |
| |
| /** |
| * Copy a part of a block into another one |
| * <p>This method can be called only when the specified part fits in both |
| * blocks, no verification is done here.</p> |
| * @param srcBlock source block |
| * @param srcWidth source block width ({@link #BLOCK_SIZE} or smaller) |
| * @param srcStartRow start row in the source block |
| * @param srcEndRow end row (exclusive) in the source block |
| * @param srcStartColumn start column in the source block |
| * @param srcEndColumn end column (exclusive) in the source block |
| * @param dstBlock destination block |
| * @param dstWidth destination block width ({@link #BLOCK_SIZE} or smaller) |
| * @param dstStartRow start row in the destination block |
| * @param dstStartColumn start column in the destination block |
| */ |
| private void copyBlockPart(final double[] srcBlock, final int srcWidth, |
| final int srcStartRow, final int srcEndRow, |
| final int srcStartColumn, final int srcEndColumn, |
| final double[] dstBlock, final int dstWidth, |
| final int dstStartRow, final int dstStartColumn) { |
| final int length = srcEndColumn - srcStartColumn; |
| int srcPos = srcStartRow * srcWidth + srcStartColumn; |
| int dstPos = dstStartRow * dstWidth + dstStartColumn; |
| for (int srcRow = srcStartRow; srcRow < srcEndRow; ++srcRow) { |
| System.arraycopy(srcBlock, srcPos, dstBlock, dstPos, length); |
| srcPos += srcWidth; |
| dstPos += dstWidth; |
| } |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public void setSubMatrix(final double[][] subMatrix, final int row, |
| final int column) |
| throws OutOfRangeException, NoDataException, NullArgumentException, |
| DimensionMismatchException { |
| // safety checks |
| MathUtils.checkNotNull(subMatrix); |
| final int refLength = subMatrix[0].length; |
| if (refLength == 0) { |
| throw new NoDataException(LocalizedFormats.AT_LEAST_ONE_COLUMN); |
| } |
| final int endRow = row + subMatrix.length - 1; |
| final int endColumn = column + refLength - 1; |
| MatrixUtils.checkSubMatrixIndex(this, row, endRow, column, endColumn); |
| for (final double[] subRow : subMatrix) { |
| if (subRow.length != refLength) { |
| throw new DimensionMismatchException(refLength, subRow.length); |
| } |
| } |
| |
| // compute blocks bounds |
| final int blockStartRow = row / BLOCK_SIZE; |
| final int blockEndRow = (endRow + BLOCK_SIZE) / BLOCK_SIZE; |
| final int blockStartColumn = column / BLOCK_SIZE; |
| final int blockEndColumn = (endColumn + BLOCK_SIZE) / BLOCK_SIZE; |
| |
| // perform copy block-wise, to ensure good cache behavior |
| for (int iBlock = blockStartRow; iBlock < blockEndRow; ++iBlock) { |
| final int iHeight = blockHeight(iBlock); |
| final int firstRow = iBlock * BLOCK_SIZE; |
| final int iStart = FastMath.max(row, firstRow); |
| final int iEnd = FastMath.min(endRow + 1, firstRow + iHeight); |
| |
| for (int jBlock = blockStartColumn; jBlock < blockEndColumn; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final int firstColumn = jBlock * BLOCK_SIZE; |
| final int jStart = FastMath.max(column, firstColumn); |
| final int jEnd = FastMath.min(endColumn + 1, firstColumn + jWidth); |
| final int jLength = jEnd - jStart; |
| |
| // handle one block, row by row |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| for (int i = iStart; i < iEnd; ++i) { |
| System.arraycopy(subMatrix[i - row], jStart - column, |
| block, (i - firstRow) * jWidth + (jStart - firstColumn), |
| jLength); |
| } |
| |
| } |
| } |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public BlockRealMatrix getRowMatrix(final int row) |
| throws OutOfRangeException { |
| MatrixUtils.checkRowIndex(this, row); |
| final BlockRealMatrix out = new BlockRealMatrix(1, columns); |
| |
| // perform copy block-wise, to ensure good cache behavior |
| final int iBlock = row / BLOCK_SIZE; |
| final int iRow = row - iBlock * BLOCK_SIZE; |
| int outBlockIndex = 0; |
| int outIndex = 0; |
| double[] outBlock = out.blocks[outBlockIndex]; |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| final int available = outBlock.length - outIndex; |
| if (jWidth > available) { |
| System.arraycopy(block, iRow * jWidth, outBlock, outIndex, available); |
| outBlock = out.blocks[++outBlockIndex]; |
| System.arraycopy(block, iRow * jWidth, outBlock, 0, jWidth - available); |
| outIndex = jWidth - available; |
| } else { |
| System.arraycopy(block, iRow * jWidth, outBlock, outIndex, jWidth); |
| outIndex += jWidth; |
| } |
| } |
| |
| return out; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public void setRowMatrix(final int row, final RealMatrix matrix) |
| throws OutOfRangeException, MatrixDimensionMismatchException { |
| if (matrix instanceof BlockRealMatrix) { |
| setRowMatrix(row, (BlockRealMatrix) matrix); |
| } else { |
| super.setRowMatrix(row, matrix); |
| } |
| } |
| |
| /** |
| * Sets the entries in row number <code>row</code> |
| * as a row matrix. Row indices start at 0. |
| * |
| * @param row the row to be set |
| * @param matrix row matrix (must have one row and the same number of columns |
| * as the instance) |
| * @throws OutOfRangeException if the specified row index is invalid. |
| * @throws MatrixDimensionMismatchException if the matrix dimensions do |
| * not match one instance row. |
| */ |
| public void setRowMatrix(final int row, final BlockRealMatrix matrix) |
| throws OutOfRangeException, MatrixDimensionMismatchException { |
| MatrixUtils.checkRowIndex(this, row); |
| final int nCols = getColumnDimension(); |
| if ((matrix.getRowDimension() != 1) || |
| (matrix.getColumnDimension() != nCols)) { |
| throw new MatrixDimensionMismatchException(matrix.getRowDimension(), |
| matrix.getColumnDimension(), |
| 1, nCols); |
| } |
| |
| // perform copy block-wise, to ensure good cache behavior |
| final int iBlock = row / BLOCK_SIZE; |
| final int iRow = row - iBlock * BLOCK_SIZE; |
| int mBlockIndex = 0; |
| int mIndex = 0; |
| double[] mBlock = matrix.blocks[mBlockIndex]; |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| final int available = mBlock.length - mIndex; |
| if (jWidth > available) { |
| System.arraycopy(mBlock, mIndex, block, iRow * jWidth, available); |
| mBlock = matrix.blocks[++mBlockIndex]; |
| System.arraycopy(mBlock, 0, block, iRow * jWidth, jWidth - available); |
| mIndex = jWidth - available; |
| } else { |
| System.arraycopy(mBlock, mIndex, block, iRow * jWidth, jWidth); |
| mIndex += jWidth; |
| } |
| } |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public BlockRealMatrix getColumnMatrix(final int column) |
| throws OutOfRangeException { |
| MatrixUtils.checkColumnIndex(this, column); |
| final BlockRealMatrix out = new BlockRealMatrix(rows, 1); |
| |
| // perform copy block-wise, to ensure good cache behavior |
| final int jBlock = column / BLOCK_SIZE; |
| final int jColumn = column - jBlock * BLOCK_SIZE; |
| final int jWidth = blockWidth(jBlock); |
| int outBlockIndex = 0; |
| int outIndex = 0; |
| double[] outBlock = out.blocks[outBlockIndex]; |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int iHeight = blockHeight(iBlock); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| for (int i = 0; i < iHeight; ++i) { |
| if (outIndex >= outBlock.length) { |
| outBlock = out.blocks[++outBlockIndex]; |
| outIndex = 0; |
| } |
| outBlock[outIndex++] = block[i * jWidth + jColumn]; |
| } |
| } |
| |
| return out; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public void setColumnMatrix(final int column, final RealMatrix matrix) |
| throws OutOfRangeException, MatrixDimensionMismatchException { |
| if (matrix instanceof BlockRealMatrix) { |
| setColumnMatrix(column, (BlockRealMatrix) matrix); |
| } else { |
| super.setColumnMatrix(column, matrix); |
| } |
| } |
| |
| /** |
| * Sets the entries in column number <code>column</code> |
| * as a column matrix. Column indices start at 0. |
| * |
| * @param column the column to be set |
| * @param matrix column matrix (must have one column and the same number of rows |
| * as the instance) |
| * @throws OutOfRangeException if the specified column index is invalid. |
| * @throws MatrixDimensionMismatchException if the matrix dimensions do |
| * not match one instance column. |
| */ |
| void setColumnMatrix(final int column, final BlockRealMatrix matrix) |
| throws OutOfRangeException, MatrixDimensionMismatchException { |
| MatrixUtils.checkColumnIndex(this, column); |
| final int nRows = getRowDimension(); |
| if ((matrix.getRowDimension() != nRows) || |
| (matrix.getColumnDimension() != 1)) { |
| throw new MatrixDimensionMismatchException(matrix.getRowDimension(), |
| matrix.getColumnDimension(), |
| nRows, 1); |
| } |
| |
| // perform copy block-wise, to ensure good cache behavior |
| final int jBlock = column / BLOCK_SIZE; |
| final int jColumn = column - jBlock * BLOCK_SIZE; |
| final int jWidth = blockWidth(jBlock); |
| int mBlockIndex = 0; |
| int mIndex = 0; |
| double[] mBlock = matrix.blocks[mBlockIndex]; |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int iHeight = blockHeight(iBlock); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| for (int i = 0; i < iHeight; ++i) { |
| if (mIndex >= mBlock.length) { |
| mBlock = matrix.blocks[++mBlockIndex]; |
| mIndex = 0; |
| } |
| block[i * jWidth + jColumn] = mBlock[mIndex++]; |
| } |
| } |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public RealVector getRowVector(final int row) |
| throws OutOfRangeException { |
| MatrixUtils.checkRowIndex(this, row); |
| final double[] outData = new double[columns]; |
| |
| // perform copy block-wise, to ensure good cache behavior |
| final int iBlock = row / BLOCK_SIZE; |
| final int iRow = row - iBlock * BLOCK_SIZE; |
| int outIndex = 0; |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| System.arraycopy(block, iRow * jWidth, outData, outIndex, jWidth); |
| outIndex += jWidth; |
| } |
| |
| return new ArrayRealVector(outData, false); |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public void setRowVector(final int row, final RealVector vector) |
| throws OutOfRangeException, MatrixDimensionMismatchException { |
| if (vector instanceof ArrayRealVector) { |
| setRow(row, ((ArrayRealVector) vector).getDataRef()); |
| } else { |
| super.setRowVector(row, vector); |
| } |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public RealVector getColumnVector(final int column) |
| throws OutOfRangeException { |
| MatrixUtils.checkColumnIndex(this, column); |
| final double[] outData = new double[rows]; |
| |
| // perform copy block-wise, to ensure good cache behavior |
| final int jBlock = column / BLOCK_SIZE; |
| final int jColumn = column - jBlock * BLOCK_SIZE; |
| final int jWidth = blockWidth(jBlock); |
| int outIndex = 0; |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int iHeight = blockHeight(iBlock); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| for (int i = 0; i < iHeight; ++i) { |
| outData[outIndex++] = block[i * jWidth + jColumn]; |
| } |
| } |
| |
| return new ArrayRealVector(outData, false); |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public void setColumnVector(final int column, final RealVector vector) |
| throws OutOfRangeException, MatrixDimensionMismatchException { |
| if (vector instanceof ArrayRealVector) { |
| setColumn(column, ((ArrayRealVector) vector).getDataRef()); |
| } else { |
| super.setColumnVector(column, vector); |
| } |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double[] getRow(final int row) throws OutOfRangeException { |
| MatrixUtils.checkRowIndex(this, row); |
| final double[] out = new double[columns]; |
| |
| // perform copy block-wise, to ensure good cache behavior |
| final int iBlock = row / BLOCK_SIZE; |
| final int iRow = row - iBlock * BLOCK_SIZE; |
| int outIndex = 0; |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| System.arraycopy(block, iRow * jWidth, out, outIndex, jWidth); |
| outIndex += jWidth; |
| } |
| |
| return out; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public void setRow(final int row, final double[] array) |
| throws OutOfRangeException, MatrixDimensionMismatchException { |
| MatrixUtils.checkRowIndex(this, row); |
| final int nCols = getColumnDimension(); |
| if (array.length != nCols) { |
| throw new MatrixDimensionMismatchException(1, array.length, 1, nCols); |
| } |
| |
| // perform copy block-wise, to ensure good cache behavior |
| final int iBlock = row / BLOCK_SIZE; |
| final int iRow = row - iBlock * BLOCK_SIZE; |
| int outIndex = 0; |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| System.arraycopy(array, outIndex, block, iRow * jWidth, jWidth); |
| outIndex += jWidth; |
| } |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double[] getColumn(final int column) throws OutOfRangeException { |
| MatrixUtils.checkColumnIndex(this, column); |
| final double[] out = new double[rows]; |
| |
| // perform copy block-wise, to ensure good cache behavior |
| final int jBlock = column / BLOCK_SIZE; |
| final int jColumn = column - jBlock * BLOCK_SIZE; |
| final int jWidth = blockWidth(jBlock); |
| int outIndex = 0; |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int iHeight = blockHeight(iBlock); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| for (int i = 0; i < iHeight; ++i) { |
| out[outIndex++] = block[i * jWidth + jColumn]; |
| } |
| } |
| |
| return out; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public void setColumn(final int column, final double[] array) |
| throws OutOfRangeException, MatrixDimensionMismatchException { |
| MatrixUtils.checkColumnIndex(this, column); |
| final int nRows = getRowDimension(); |
| if (array.length != nRows) { |
| throw new MatrixDimensionMismatchException(array.length, 1, nRows, 1); |
| } |
| |
| // perform copy block-wise, to ensure good cache behavior |
| final int jBlock = column / BLOCK_SIZE; |
| final int jColumn = column - jBlock * BLOCK_SIZE; |
| final int jWidth = blockWidth(jBlock); |
| int outIndex = 0; |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int iHeight = blockHeight(iBlock); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| for (int i = 0; i < iHeight; ++i) { |
| block[i * jWidth + jColumn] = array[outIndex++]; |
| } |
| } |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double getEntry(final int row, final int column) |
| throws OutOfRangeException { |
| MatrixUtils.checkMatrixIndex(this, row, column); |
| final int iBlock = row / BLOCK_SIZE; |
| final int jBlock = column / BLOCK_SIZE; |
| final int k = (row - iBlock * BLOCK_SIZE) * blockWidth(jBlock) + |
| (column - jBlock * BLOCK_SIZE); |
| return blocks[iBlock * blockColumns + jBlock][k]; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public void setEntry(final int row, final int column, final double value) |
| throws OutOfRangeException { |
| MatrixUtils.checkMatrixIndex(this, row, column); |
| final int iBlock = row / BLOCK_SIZE; |
| final int jBlock = column / BLOCK_SIZE; |
| final int k = (row - iBlock * BLOCK_SIZE) * blockWidth(jBlock) + |
| (column - jBlock * BLOCK_SIZE); |
| blocks[iBlock * blockColumns + jBlock][k] = value; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public void addToEntry(final int row, final int column, |
| final double increment) |
| throws OutOfRangeException { |
| MatrixUtils.checkMatrixIndex(this, row, column); |
| final int iBlock = row / BLOCK_SIZE; |
| final int jBlock = column / BLOCK_SIZE; |
| final int k = (row - iBlock * BLOCK_SIZE) * blockWidth(jBlock) + |
| (column - jBlock * BLOCK_SIZE); |
| blocks[iBlock * blockColumns + jBlock][k] += increment; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public void multiplyEntry(final int row, final int column, |
| final double factor) |
| throws OutOfRangeException { |
| MatrixUtils.checkMatrixIndex(this, row, column); |
| final int iBlock = row / BLOCK_SIZE; |
| final int jBlock = column / BLOCK_SIZE; |
| final int k = (row - iBlock * BLOCK_SIZE) * blockWidth(jBlock) + |
| (column - jBlock * BLOCK_SIZE); |
| blocks[iBlock * blockColumns + jBlock][k] *= factor; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public BlockRealMatrix transpose() { |
| final int nRows = getRowDimension(); |
| final int nCols = getColumnDimension(); |
| final BlockRealMatrix out = new BlockRealMatrix(nCols, nRows); |
| |
| // perform transpose block-wise, to ensure good cache behavior |
| int blockIndex = 0; |
| for (int iBlock = 0; iBlock < blockColumns; ++iBlock) { |
| for (int jBlock = 0; jBlock < blockRows; ++jBlock) { |
| // transpose current block |
| final double[] outBlock = out.blocks[blockIndex]; |
| final double[] tBlock = blocks[jBlock * blockColumns + iBlock]; |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, columns); |
| final int qStart = jBlock * BLOCK_SIZE; |
| final int qEnd = FastMath.min(qStart + BLOCK_SIZE, rows); |
| int k = 0; |
| for (int p = pStart; p < pEnd; ++p) { |
| final int lInc = pEnd - pStart; |
| int l = p - pStart; |
| for (int q = qStart; q < qEnd; ++q) { |
| outBlock[k] = tBlock[l]; |
| ++k; |
| l+= lInc; |
| } |
| } |
| // go to next block |
| ++blockIndex; |
| } |
| } |
| |
| return out; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public int getRowDimension() { |
| return rows; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public int getColumnDimension() { |
| return columns; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double[] operate(final double[] v) |
| throws DimensionMismatchException { |
| if (v.length != columns) { |
| throw new DimensionMismatchException(v.length, columns); |
| } |
| final double[] out = new double[rows]; |
| |
| // perform multiplication block-wise, to ensure good cache behavior |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| final int qStart = jBlock * BLOCK_SIZE; |
| final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns); |
| int k = 0; |
| for (int p = pStart; p < pEnd; ++p) { |
| double sum = 0; |
| int q = qStart; |
| while (q < qEnd - 3) { |
| sum += block[k] * v[q] + |
| block[k + 1] * v[q + 1] + |
| block[k + 2] * v[q + 2] + |
| block[k + 3] * v[q + 3]; |
| k += 4; |
| q += 4; |
| } |
| while (q < qEnd) { |
| sum += block[k++] * v[q++]; |
| } |
| out[p] += sum; |
| } |
| } |
| } |
| |
| return out; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double[] preMultiply(final double[] v) |
| throws DimensionMismatchException { |
| if (v.length != rows) { |
| throw new DimensionMismatchException(v.length, rows); |
| } |
| final double[] out = new double[columns]; |
| |
| // perform multiplication block-wise, to ensure good cache behavior |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final int jWidth2 = jWidth + jWidth; |
| final int jWidth3 = jWidth2 + jWidth; |
| final int jWidth4 = jWidth3 + jWidth; |
| final int qStart = jBlock * BLOCK_SIZE; |
| final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns); |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| for (int q = qStart; q < qEnd; ++q) { |
| int k = q - qStart; |
| double sum = 0; |
| int p = pStart; |
| while (p < pEnd - 3) { |
| sum += block[k] * v[p] + |
| block[k + jWidth] * v[p + 1] + |
| block[k + jWidth2] * v[p + 2] + |
| block[k + jWidth3] * v[p + 3]; |
| k += jWidth4; |
| p += 4; |
| } |
| while (p < pEnd) { |
| sum += block[k] * v[p++]; |
| k += jWidth; |
| } |
| out[q] += sum; |
| } |
| } |
| } |
| |
| return out; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double walkInRowOrder(final RealMatrixChangingVisitor visitor) { |
| visitor.start(rows, columns, 0, rows - 1, 0, columns - 1); |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| for (int p = pStart; p < pEnd; ++p) { |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final int qStart = jBlock * BLOCK_SIZE; |
| final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| int k = (p - pStart) * jWidth; |
| for (int q = qStart; q < qEnd; ++q) { |
| block[k] = visitor.visit(p, q, block[k]); |
| ++k; |
| } |
| } |
| } |
| } |
| return visitor.end(); |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double walkInRowOrder(final RealMatrixPreservingVisitor visitor) { |
| visitor.start(rows, columns, 0, rows - 1, 0, columns - 1); |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| for (int p = pStart; p < pEnd; ++p) { |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final int qStart = jBlock * BLOCK_SIZE; |
| final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| int k = (p - pStart) * jWidth; |
| for (int q = qStart; q < qEnd; ++q) { |
| visitor.visit(p, q, block[k]); |
| ++k; |
| } |
| } |
| } |
| } |
| return visitor.end(); |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double walkInRowOrder(final RealMatrixChangingVisitor visitor, |
| final int startRow, final int endRow, |
| final int startColumn, final int endColumn) |
| throws OutOfRangeException, NumberIsTooSmallException { |
| MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn); |
| visitor.start(rows, columns, startRow, endRow, startColumn, endColumn); |
| for (int iBlock = startRow / BLOCK_SIZE; iBlock < 1 + endRow / BLOCK_SIZE; ++iBlock) { |
| final int p0 = iBlock * BLOCK_SIZE; |
| final int pStart = FastMath.max(startRow, p0); |
| final int pEnd = FastMath.min((iBlock + 1) * BLOCK_SIZE, 1 + endRow); |
| for (int p = pStart; p < pEnd; ++p) { |
| for (int jBlock = startColumn / BLOCK_SIZE; jBlock < 1 + endColumn / BLOCK_SIZE; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final int q0 = jBlock * BLOCK_SIZE; |
| final int qStart = FastMath.max(startColumn, q0); |
| final int qEnd = FastMath.min((jBlock + 1) * BLOCK_SIZE, 1 + endColumn); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| int k = (p - p0) * jWidth + qStart - q0; |
| for (int q = qStart; q < qEnd; ++q) { |
| block[k] = visitor.visit(p, q, block[k]); |
| ++k; |
| } |
| } |
| } |
| } |
| return visitor.end(); |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double walkInRowOrder(final RealMatrixPreservingVisitor visitor, |
| final int startRow, final int endRow, |
| final int startColumn, final int endColumn) |
| throws OutOfRangeException, NumberIsTooSmallException { |
| MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn); |
| visitor.start(rows, columns, startRow, endRow, startColumn, endColumn); |
| for (int iBlock = startRow / BLOCK_SIZE; iBlock < 1 + endRow / BLOCK_SIZE; ++iBlock) { |
| final int p0 = iBlock * BLOCK_SIZE; |
| final int pStart = FastMath.max(startRow, p0); |
| final int pEnd = FastMath.min((iBlock + 1) * BLOCK_SIZE, 1 + endRow); |
| for (int p = pStart; p < pEnd; ++p) { |
| for (int jBlock = startColumn / BLOCK_SIZE; jBlock < 1 + endColumn / BLOCK_SIZE; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final int q0 = jBlock * BLOCK_SIZE; |
| final int qStart = FastMath.max(startColumn, q0); |
| final int qEnd = FastMath.min((jBlock + 1) * BLOCK_SIZE, 1 + endColumn); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| int k = (p - p0) * jWidth + qStart - q0; |
| for (int q = qStart; q < qEnd; ++q) { |
| visitor.visit(p, q, block[k]); |
| ++k; |
| } |
| } |
| } |
| } |
| return visitor.end(); |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double walkInOptimizedOrder(final RealMatrixChangingVisitor visitor) { |
| visitor.start(rows, columns, 0, rows - 1, 0, columns - 1); |
| int blockIndex = 0; |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final int qStart = jBlock * BLOCK_SIZE; |
| final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns); |
| final double[] block = blocks[blockIndex]; |
| int k = 0; |
| for (int p = pStart; p < pEnd; ++p) { |
| for (int q = qStart; q < qEnd; ++q) { |
| block[k] = visitor.visit(p, q, block[k]); |
| ++k; |
| } |
| } |
| ++blockIndex; |
| } |
| } |
| return visitor.end(); |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double walkInOptimizedOrder(final RealMatrixPreservingVisitor visitor) { |
| visitor.start(rows, columns, 0, rows - 1, 0, columns - 1); |
| int blockIndex = 0; |
| for (int iBlock = 0; iBlock < blockRows; ++iBlock) { |
| final int pStart = iBlock * BLOCK_SIZE; |
| final int pEnd = FastMath.min(pStart + BLOCK_SIZE, rows); |
| for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { |
| final int qStart = jBlock * BLOCK_SIZE; |
| final int qEnd = FastMath.min(qStart + BLOCK_SIZE, columns); |
| final double[] block = blocks[blockIndex]; |
| int k = 0; |
| for (int p = pStart; p < pEnd; ++p) { |
| for (int q = qStart; q < qEnd; ++q) { |
| visitor.visit(p, q, block[k]); |
| ++k; |
| } |
| } |
| ++blockIndex; |
| } |
| } |
| return visitor.end(); |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double walkInOptimizedOrder(final RealMatrixChangingVisitor visitor, |
| final int startRow, final int endRow, |
| final int startColumn, |
| final int endColumn) |
| throws OutOfRangeException, NumberIsTooSmallException { |
| MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn); |
| visitor.start(rows, columns, startRow, endRow, startColumn, endColumn); |
| for (int iBlock = startRow / BLOCK_SIZE; iBlock < 1 + endRow / BLOCK_SIZE; ++iBlock) { |
| final int p0 = iBlock * BLOCK_SIZE; |
| final int pStart = FastMath.max(startRow, p0); |
| final int pEnd = FastMath.min((iBlock + 1) * BLOCK_SIZE, 1 + endRow); |
| for (int jBlock = startColumn / BLOCK_SIZE; jBlock < 1 + endColumn / BLOCK_SIZE; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final int q0 = jBlock * BLOCK_SIZE; |
| final int qStart = FastMath.max(startColumn, q0); |
| final int qEnd = FastMath.min((jBlock + 1) * BLOCK_SIZE, 1 + endColumn); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| for (int p = pStart; p < pEnd; ++p) { |
| int k = (p - p0) * jWidth + qStart - q0; |
| for (int q = qStart; q < qEnd; ++q) { |
| block[k] = visitor.visit(p, q, block[k]); |
| ++k; |
| } |
| } |
| } |
| } |
| return visitor.end(); |
| } |
| |
| /** {@inheritDoc} */ |
| @Override |
| public double walkInOptimizedOrder(final RealMatrixPreservingVisitor visitor, |
| final int startRow, final int endRow, |
| final int startColumn, |
| final int endColumn) |
| throws OutOfRangeException, NumberIsTooSmallException { |
| MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn); |
| visitor.start(rows, columns, startRow, endRow, startColumn, endColumn); |
| for (int iBlock = startRow / BLOCK_SIZE; iBlock < 1 + endRow / BLOCK_SIZE; ++iBlock) { |
| final int p0 = iBlock * BLOCK_SIZE; |
| final int pStart = FastMath.max(startRow, p0); |
| final int pEnd = FastMath.min((iBlock + 1) * BLOCK_SIZE, 1 + endRow); |
| for (int jBlock = startColumn / BLOCK_SIZE; jBlock < 1 + endColumn / BLOCK_SIZE; ++jBlock) { |
| final int jWidth = blockWidth(jBlock); |
| final int q0 = jBlock * BLOCK_SIZE; |
| final int qStart = FastMath.max(startColumn, q0); |
| final int qEnd = FastMath.min((jBlock + 1) * BLOCK_SIZE, 1 + endColumn); |
| final double[] block = blocks[iBlock * blockColumns + jBlock]; |
| for (int p = pStart; p < pEnd; ++p) { |
| int k = (p - p0) * jWidth + qStart - q0; |
| for (int q = qStart; q < qEnd; ++q) { |
| visitor.visit(p, q, block[k]); |
| ++k; |
| } |
| } |
| } |
| } |
| return visitor.end(); |
| } |
| |
| /** |
| * Get the height of a block. |
| * @param blockRow row index (in block sense) of the block |
| * @return height (number of rows) of the block |
| */ |
| private int blockHeight(final int blockRow) { |
| return (blockRow == blockRows - 1) ? rows - blockRow * BLOCK_SIZE : BLOCK_SIZE; |
| } |
| |
| /** |
| * Get the width of a block. |
| * @param blockColumn column index (in block sense) of the block |
| * @return width (number of columns) of the block |
| */ |
| private int blockWidth(final int blockColumn) { |
| return (blockColumn == blockColumns - 1) ? columns - blockColumn * BLOCK_SIZE : BLOCK_SIZE; |
| } |
| } |