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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.math3.linear;

import java.io.Serializable;

import org.apache.commons.math3.Field;
import org.apache.commons.math3.FieldElement;
import org.apache.commons.math3.exception.NoDataException;
import org.apache.commons.math3.exception.DimensionMismatchException;
import org.apache.commons.math3.exception.NotStrictlyPositiveException;
import org.apache.commons.math3.exception.NullArgumentException;
import org.apache.commons.math3.exception.NumberIsTooSmallException;
import org.apache.commons.math3.exception.OutOfRangeException;
import org.apache.commons.math3.exception.util.LocalizedFormats;
import org.apache.commons.math3.util.FastMath;
import org.apache.commons.math3.util.MathArrays;
import org.apache.commons.math3.util.MathUtils;

/**
 * Cache-friendly implementation of FieldMatrix using a flat arrays to store
 * square blocks of the matrix.
 * 

* 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. *

*

* 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 36x36 blocks. *

*

* 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}2 elements long for regular blocks. The blocks are themselves * organized in row major order. *

*

* As an example, for a block size of 36x36, a 100x60 matrix would be stored in 6 blocks. * Block 0 would be a Field[1296] array holding the upper left 36x36 square, block 1 would be * a Field[1296] array holding the upper center 36x36 square, block 2 would be a Field[1008] * array holding the upper right 36x28 rectangle, block 3 would be a Field[864] array holding * the lower left 24x36 rectangle, block 4 would be a Field[864] array holding the lower center * 24x36 rectangle and block 5 would be a Field[672] array holding the lower right 24x28 * rectangle. *

*

* 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. *

* @param the type of the field elements * @since 2.0 */ public class BlockFieldMatrix> extends AbstractFieldMatrix implements Serializable { /** Block size. */ public static final int BLOCK_SIZE = 36; /** Serializable version identifier. */ private static final long serialVersionUID = -4602336630143123183L; /** Blocks of matrix entries. */ private final T 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 field Field to which the elements belong. * @param rows Number of rows in the new matrix. * @param columns Number of columns in the new matrix. * @throws NotStrictlyPositiveException if row or column dimension is not * positive. */ public BlockFieldMatrix(final Field field, final int rows, final int columns) throws NotStrictlyPositiveException { super(field, 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(field, rows, columns); } /** * Create a new dense matrix copying entries from raw layout data. *

The input array must already be in raw layout.

*

Calling this constructor is equivalent to call: *

matrix = new BlockFieldMatrix(getField(), rawData.length, rawData[0].length,
     *                                   toBlocksLayout(rawData), false);
*

* * @param rawData Data for the new matrix, in raw layout. * @throws DimensionMismatchException if the {@code blockData} shape is * inconsistent with block layout. * @see #BlockFieldMatrix(int, int, FieldElement[][], boolean) */ public BlockFieldMatrix(final T[][] rawData) throws DimensionMismatchException { this(rawData.length, rawData[0].length, toBlocksLayout(rawData), false); } /** * Create a new dense matrix copying entries from block layout data. *

The input array must already be in blocks layout.

* @param rows the number of rows in the new matrix * @param columns the number of columns in the new matrix * @param blockData data for new matrix * @param copyArray if true, the input array will be copied, otherwise * it will be referenced * * @throws DimensionMismatchException if the {@code blockData} shape is * inconsistent with block layout. * @throws NotStrictlyPositiveException if row or column dimension is not * positive. * @see #createBlocksLayout(Field, int, int) * @see #toBlocksLayout(FieldElement[][]) * @see #BlockFieldMatrix(FieldElement[][]) */ public BlockFieldMatrix(final int rows, final int columns, final T[][] blockData, final boolean copyArray) throws DimensionMismatchException, NotStrictlyPositiveException { super(extractField(blockData), 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 = MathArrays.buildArray(getField(), blockRows * blockColumns, -1); } 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. *

* Raw layout is the straightforward layout where element at row i and * column j is in array element rawData[i][j]. Blocks layout * is the layout used in {@link BlockFieldMatrix} 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. *

*

* 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 * #BlockFieldMatrix(int, int, FieldElement[][], boolean)} * constructor. *

* @param Type of the field elements. * @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 * (not all rows have the same length). * @see #createBlocksLayout(Field, int, int) * @see #BlockFieldMatrix(int, int, FieldElement[][], boolean) */ public static > T[][] toBlocksLayout(final T[][] 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 Field field = extractField(rawData); final T[][] blocks = MathArrays.buildArray(field, blockRows * blockColumns, -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); 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 T[] block = MathArrays.buildArray(field, 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. *

* This method can be used to create the array argument of the {@link * #BlockFieldMatrix(int, int, FieldElement[][], boolean)} * constructor. *

* @param Type of the field elements. * @param field Field to which the elements belong. * @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(FieldElement[][]) * @see #BlockFieldMatrix(int, int, FieldElement[][], boolean) */ public static > T[][] createBlocksLayout(final Field field, 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 T[][] blocks = MathArrays.buildArray(field, blockRows * blockColumns, -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); 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] = MathArrays.buildArray(field, iHeight * jWidth); ++blockIndex; } } return blocks; } /** {@inheritDoc} */ @Override public FieldMatrix createMatrix(final int rowDimension, final int columnDimension) throws NotStrictlyPositiveException { return new BlockFieldMatrix(getField(), rowDimension, columnDimension); } /** {@inheritDoc} */ @Override public FieldMatrix copy() { // create an empty matrix BlockFieldMatrix copied = new BlockFieldMatrix(getField(), 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 FieldMatrix add(final FieldMatrix m) throws MatrixDimensionMismatchException { try { return add((BlockFieldMatrix) m); } catch (ClassCastException cce) { // safety check checkAdditionCompatible(m); final BlockFieldMatrix out = new BlockFieldMatrix(getField(), 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 T[] outBlock = out.blocks[blockIndex]; final T[] 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].add(m.getEntry(p, q)); ++k; } } // go to next block ++blockIndex; } } return out; } } /** * Compute the sum of {@code this} and {@code m}. * * @param m matrix to be added * @return {@code this + m} * @throws MatrixDimensionMismatchException if {@code m} is not the same * size as {@code this} */ public BlockFieldMatrix add(final BlockFieldMatrix m) throws MatrixDimensionMismatchException { // safety check checkAdditionCompatible(m); final BlockFieldMatrix out = new BlockFieldMatrix(getField(), rows, columns); // perform addition block-wise, to ensure good cache behavior for (int blockIndex = 0; blockIndex < out.blocks.length; ++blockIndex) { final T[] outBlock = out.blocks[blockIndex]; final T[] tBlock = blocks[blockIndex]; final T[] mBlock = m.blocks[blockIndex]; for (int k = 0; k < outBlock.length; ++k) { outBlock[k] = tBlock[k].add(mBlock[k]); } } return out; } /** {@inheritDoc} */ @Override public FieldMatrix subtract(final FieldMatrix m) throws MatrixDimensionMismatchException { try { return subtract((BlockFieldMatrix) m); } catch (ClassCastException cce) { // safety check checkSubtractionCompatible(m); final BlockFieldMatrix out = new BlockFieldMatrix(getField(), 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 T[] outBlock = out.blocks[blockIndex]; final T[] 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].subtract(m.getEntry(p, q)); ++k; } } // go to next block ++blockIndex; } } return out; } } /** * Compute {@code this - m}. * * @param m matrix to be subtracted * @return {@code this - m} * @throws MatrixDimensionMismatchException if {@code m} is not the same * size as {@code this} */ public BlockFieldMatrix subtract(final BlockFieldMatrix m) throws MatrixDimensionMismatchException { // safety check checkSubtractionCompatible(m); final BlockFieldMatrix out = new BlockFieldMatrix(getField(), rows, columns); // perform subtraction block-wise, to ensure good cache behavior for (int blockIndex = 0; blockIndex < out.blocks.length; ++blockIndex) { final T[] outBlock = out.blocks[blockIndex]; final T[] tBlock = blocks[blockIndex]; final T[] mBlock = m.blocks[blockIndex]; for (int k = 0; k < outBlock.length; ++k) { outBlock[k] = tBlock[k].subtract(mBlock[k]); } } return out; } /** {@inheritDoc} */ @Override public FieldMatrix scalarAdd(final T d) { final BlockFieldMatrix out = new BlockFieldMatrix(getField(), rows, columns); // perform subtraction block-wise, to ensure good cache behavior for (int blockIndex = 0; blockIndex < out.blocks.length; ++blockIndex) { final T[] outBlock = out.blocks[blockIndex]; final T[] tBlock = blocks[blockIndex]; for (int k = 0; k < outBlock.length; ++k) { outBlock[k] = tBlock[k].add(d); } } return out; } /** {@inheritDoc} */ @Override public FieldMatrix scalarMultiply(final T d) { final BlockFieldMatrix out = new BlockFieldMatrix(getField(), rows, columns); // perform subtraction block-wise, to ensure good cache behavior for (int blockIndex = 0; blockIndex < out.blocks.length; ++blockIndex) { final T[] outBlock = out.blocks[blockIndex]; final T[] tBlock = blocks[blockIndex]; for (int k = 0; k < outBlock.length; ++k) { outBlock[k] = tBlock[k].multiply(d); } } return out; } /** {@inheritDoc} */ @Override public FieldMatrix multiply(final FieldMatrix m) throws DimensionMismatchException { try { return multiply((BlockFieldMatrix) m); } catch (ClassCastException cce) { // safety check checkMultiplicationCompatible(m); final BlockFieldMatrix out = new BlockFieldMatrix(getField(), rows, m.getColumnDimension()); final T zero = getField().getZero(); // 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 T[] outBlock = out.blocks[blockIndex]; // perform multiplication on current block for (int kBlock = 0; kBlock < blockColumns; ++kBlock) { final int kWidth = blockWidth(kBlock); final T[] 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) { T sum = zero; int r = rStart; for (int l = lStart; l < lEnd; ++l) { sum = sum.add(tBlock[l].multiply(m.getEntry(r, q))); ++r; } outBlock[k] = outBlock[k].add(sum); ++k; } } } // go to next block ++blockIndex; } } return out; } } /** * Returns the result of postmultiplying {@code this} by {@code m}. * * @param m matrix to postmultiply by * @return {@code this * m} * @throws DimensionMismatchException if the matrices are not compatible. */ public BlockFieldMatrix multiply(BlockFieldMatrix m) throws DimensionMismatchException { // safety check checkMultiplicationCompatible(m); final BlockFieldMatrix out = new BlockFieldMatrix(getField(), rows, m.columns); final T zero = getField().getZero(); // 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 T[] outBlock = out.blocks[blockIndex]; // perform multiplication on current block for (int kBlock = 0; kBlock < blockColumns; ++kBlock) { final int kWidth = blockWidth(kBlock); final T[] tBlock = blocks[iBlock * blockColumns + kBlock]; final T[] 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) { T sum = zero; int l = lStart; int n = nStart; while (l < lEnd - 3) { sum = sum. add(tBlock[l].multiply(mBlock[n])). add(tBlock[l + 1].multiply(mBlock[n + jWidth])). add(tBlock[l + 2].multiply(mBlock[n + jWidth2])). add(tBlock[l + 3].multiply(mBlock[n + jWidth3])); l += 4; n += jWidth4; } while (l < lEnd) { sum = sum.add(tBlock[l++].multiply(mBlock[n])); n += jWidth; } outBlock[k] = outBlock[k].add(sum); ++k; } } } // go to next block ++blockIndex; } } return out; } /** {@inheritDoc} */ @Override public T[][] getData() { final T[][] data = MathArrays.buildArray(getField(), 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 T[] 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 FieldMatrix getSubMatrix(final int startRow, final int endRow, final int startColumn, final int endColumn) throws OutOfRangeException, NumberIsTooSmallException { // safety checks checkSubMatrixIndex(startRow, endRow, startColumn, endColumn); // create the output matrix final BlockFieldMatrix out = new BlockFieldMatrix(getField(), 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 T[] 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 *

This method can be called only when the specified part fits in both * blocks, no verification is done here.

* @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 T[] srcBlock, final int srcWidth, final int srcStartRow, final int srcEndRow, final int srcStartColumn, final int srcEndColumn, final T[] 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 T[][] subMatrix, final int row, final int column) throws DimensionMismatchException, OutOfRangeException, NoDataException, NullArgumentException { // 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; checkSubMatrixIndex(row, endRow, column, endColumn); for (final T[] 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 T[] 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 FieldMatrix getRowMatrix(final int row) throws OutOfRangeException { checkRowIndex(row); final BlockFieldMatrix out = new BlockFieldMatrix(getField(), 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; T[] outBlock = out.blocks[outBlockIndex]; for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { final int jWidth = blockWidth(jBlock); final T[] 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 FieldMatrix matrix) throws MatrixDimensionMismatchException, OutOfRangeException { try { setRowMatrix(row, (BlockFieldMatrix) matrix); } catch (ClassCastException cce) { super.setRowMatrix(row, matrix); } } /** * Sets the entries in row number row * 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 MatrixDimensionMismatchException if the matrix dimensions do * not match one instance row. * @throws OutOfRangeException if the specified row index is invalid. */ public void setRowMatrix(final int row, final BlockFieldMatrix matrix) throws MatrixDimensionMismatchException, OutOfRangeException { checkRowIndex(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; T[] mBlock = matrix.blocks[mBlockIndex]; for (int jBlock = 0; jBlock < blockColumns; ++jBlock) { final int jWidth = blockWidth(jBlock); final T[] 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 FieldMatrix getColumnMatrix(final int column) throws OutOfRangeException { checkColumnIndex(column); final BlockFieldMatrix out = new BlockFieldMatrix(getField(), 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; T[] outBlock = out.blocks[outBlockIndex]; for (int iBlock = 0; iBlock < blockRows; ++iBlock) { final int iHeight = blockHeight(iBlock); final T[] 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 FieldMatrix matrix) throws MatrixDimensionMismatchException, OutOfRangeException { try { setColumnMatrix(column, (BlockFieldMatrix) matrix); } catch (ClassCastException cce) { super.setColumnMatrix(column, matrix); } } /** * Sets the entries in column number {@code column} * as a column matrix. Column indices start at 0. * * @param column Column to be set. * @param matrix Column matrix (must have one column and the same number of rows * as the instance). * @throws MatrixDimensionMismatchException if the matrix dimensions do * not match one instance column. * @throws OutOfRangeException if the specified column index is invalid. */ void setColumnMatrix(final int column, final BlockFieldMatrix matrix) throws MatrixDimensionMismatchException, OutOfRangeException { checkColumnIndex(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; T[] mBlock = matrix.blocks[mBlockIndex]; for (int iBlock = 0; iBlock < blockRows; ++iBlock) { final int iHeight = blockHeight(iBlock); final T[] 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 FieldVector getRowVector(final int row) throws OutOfRangeException { checkRowIndex(row); final T[] outData = MathArrays.buildArray(getField(), 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 T[] block = blocks[iBlock * blockColumns + jBlock]; System.arraycopy(block, iRow * jWidth, outData, outIndex, jWidth); outIndex += jWidth; } return new ArrayFieldVector(getField(), outData, false); } /** {@inheritDoc} */ @Override public void setRowVector(final int row, final FieldVector vector) throws MatrixDimensionMismatchException, OutOfRangeException { try { setRow(row, ((ArrayFieldVector) vector).getDataRef()); } catch (ClassCastException cce) { super.setRowVector(row, vector); } } /** {@inheritDoc} */ @Override public FieldVector getColumnVector(final int column) throws OutOfRangeException { checkColumnIndex(column); final T[] outData = MathArrays.buildArray(getField(), 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 T[] block = blocks[iBlock * blockColumns + jBlock]; for (int i = 0; i < iHeight; ++i) { outData[outIndex++] = block[i * jWidth + jColumn]; } } return new ArrayFieldVector(getField(), outData, false); } /** {@inheritDoc} */ @Override public void setColumnVector(final int column, final FieldVector vector) throws OutOfRangeException, MatrixDimensionMismatchException { try { setColumn(column, ((ArrayFieldVector) vector).getDataRef()); } catch (ClassCastException cce) { super.setColumnVector(column, vector); } } /** {@inheritDoc} */ @Override public T[] getRow(final int row) throws OutOfRangeException { checkRowIndex(row); final T[] out = MathArrays.buildArray(getField(), 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 T[] 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 T[] array) throws OutOfRangeException, MatrixDimensionMismatchException { checkRowIndex(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 T[] block = blocks[iBlock * blockColumns + jBlock]; System.arraycopy(array, outIndex, block, iRow * jWidth, jWidth); outIndex += jWidth; } } /** {@inheritDoc} */ @Override public T[] getColumn(final int column) throws OutOfRangeException { checkColumnIndex(column); final T[] out = MathArrays.buildArray(getField(), 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 T[] 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 T[] array) throws MatrixDimensionMismatchException, OutOfRangeException { checkColumnIndex(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 T[] block = blocks[iBlock * blockColumns + jBlock]; for (int i = 0; i < iHeight; ++i) { block[i * jWidth + jColumn] = array[outIndex++]; } } } /** {@inheritDoc} */ @Override public T getEntry(final int row, final int column) throws OutOfRangeException { checkRowIndex(row); checkColumnIndex(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 T value) throws OutOfRangeException { checkRowIndex(row); checkColumnIndex(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 T increment) throws OutOfRangeException { checkRowIndex(row); checkColumnIndex(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); final T[] blockIJ = blocks[iBlock * blockColumns + jBlock]; blockIJ[k] = blockIJ[k].add(increment); } /** {@inheritDoc} */ @Override public void multiplyEntry(final int row, final int column, final T factor) throws OutOfRangeException { checkRowIndex(row); checkColumnIndex(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); final T[] blockIJ = blocks[iBlock * blockColumns + jBlock]; blockIJ[k] = blockIJ[k].multiply(factor); } /** {@inheritDoc} */ @Override public FieldMatrix transpose() { final int nRows = getRowDimension(); final int nCols = getColumnDimension(); final BlockFieldMatrix out = new BlockFieldMatrix(getField(), 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 T[] outBlock = out.blocks[blockIndex]; final T[] 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 T[] operate(final T[] v) throws DimensionMismatchException { if (v.length != columns) { throw new DimensionMismatchException(v.length, columns); } final T[] out = MathArrays.buildArray(getField(), rows); final T zero = getField().getZero(); // 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 T[] 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) { T sum = zero; int q = qStart; while (q < qEnd - 3) { sum = sum. add(block[k].multiply(v[q])). add(block[k + 1].multiply(v[q + 1])). add(block[k + 2].multiply(v[q + 2])). add(block[k + 3].multiply(v[q + 3])); k += 4; q += 4; } while (q < qEnd) { sum = sum.add(block[k++].multiply(v[q++])); } out[p] = out[p].add(sum); } } } return out; } /** {@inheritDoc} */ @Override public T[] preMultiply(final T[] v) throws DimensionMismatchException { if (v.length != rows) { throw new DimensionMismatchException(v.length, rows); } final T[] out = MathArrays.buildArray(getField(), columns); final T zero = getField().getZero(); // 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 T[] 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; T sum = zero; int p = pStart; while (p < pEnd - 3) { sum = sum. add(block[k].multiply(v[p])). add(block[k + jWidth].multiply(v[p + 1])). add(block[k + jWidth2].multiply(v[p + 2])). add(block[k + jWidth3].multiply(v[p + 3])); k += jWidth4; p += 4; } while (p < pEnd) { sum = sum.add(block[k].multiply(v[p++])); k += jWidth; } out[q] = out[q].add(sum); } } } return out; } /** {@inheritDoc} */ @Override public T walkInRowOrder(final FieldMatrixChangingVisitor 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 T[] 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 T walkInRowOrder(final FieldMatrixPreservingVisitor 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 T[] 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 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(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 T[] 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 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(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 T[] 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 T walkInOptimizedOrder(final FieldMatrixChangingVisitor 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 T[] 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 T walkInOptimizedOrder(final FieldMatrixPreservingVisitor 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 T[] 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 T walkInOptimizedOrder(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(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 T[] 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 T walkInOptimizedOrder(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(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 T[] 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; } }




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