Robin Mueller
ddcac2bbac
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101 lines
3.8 KiB
C++
101 lines
3.8 KiB
C++
#ifndef MATRIXOPERATIONS_H_
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#define MATRIXOPERATIONS_H_
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#include <stdint.h>
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#include <cmath>
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template <typename T1, typename T2 = T1, typename T3 = T2>
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class MatrixOperations {
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public:
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// do not use with result == matrix1 or matrix2
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static void multiply(const T1 *matrix1, const T2 *matrix2, T3 *result, uint8_t rows1,
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uint8_t columns1, uint8_t columns2) {
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if ((matrix1 == (T1 *)result) || (matrix2 == (T2 *)result)) {
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// SHOULDDO find an implementation that is tolerant to this
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return;
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}
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for (uint8_t resultColumn = 0; resultColumn < columns2; resultColumn++) {
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for (uint8_t resultRow = 0; resultRow < rows1; resultRow++) {
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result[resultColumn + columns2 * resultRow] = 0;
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for (uint8_t i = 0; i < columns1; i++) {
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result[resultColumn + columns2 * resultRow] +=
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matrix1[i + resultRow * columns1] * matrix2[resultColumn + i * columns2];
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}
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}
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}
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}
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static void transpose(const T1 *matrix, T2 *transposed, uint8_t size) {
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uint8_t row, column;
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transposed[0] = matrix[0];
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for (column = 1; column < size; column++) {
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transposed[column + size * column] = matrix[column + size * column];
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for (row = 0; row < column; row++) {
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T1 temp = matrix[column + size * row];
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transposed[column + size * row] = matrix[row + size * column];
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transposed[row + size * column] = temp;
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}
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}
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}
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// Overload transpose to support non symmetrical matrices
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// do not use with transposed == matrix && columns != rows
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static void transpose(const T1 *matrix, T2 *transposed, uint8_t rows, uint8_t columns) {
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uint8_t row, column;
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transposed[0] = matrix[0];
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if (matrix == transposed && columns == rows) {
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transpose(matrix, transposed, rows);
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} else if (matrix == transposed && columns != rows) {
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// not permitted
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return;
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}
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for (column = 0; column < columns; column++) {
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for (row = 0; row < rows; row++) {
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transposed[row + column * rows] = matrix[column + row * columns];
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}
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}
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}
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static void add(const T1 *matrix1, const T2 *matrix2, T3 *result, uint8_t rows, uint8_t columns) {
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for (uint8_t resultColumn = 0; resultColumn < columns; resultColumn++) {
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for (uint8_t resultRow = 0; resultRow < rows; resultRow++) {
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result[resultColumn + columns * resultRow] = matrix1[resultColumn + columns * resultRow] +
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matrix2[resultColumn + columns * resultRow];
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}
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}
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}
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static void subtract(const T1 *matrix1, const T2 *matrix2, T3 *result, uint8_t rows,
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uint8_t columns) {
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for (uint8_t resultColumn = 0; resultColumn < columns; resultColumn++) {
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for (uint8_t resultRow = 0; resultRow < rows; resultRow++) {
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result[resultColumn + columns * resultRow] = matrix1[resultColumn + columns * resultRow] -
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matrix2[resultColumn + columns * resultRow];
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}
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}
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}
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static void addScalar(const T1 *matrix1, const T2 scalar, T3 *result, uint8_t rows,
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uint8_t columns) {
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for (uint8_t resultColumn = 0; resultColumn < columns; resultColumn++) {
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for (uint8_t resultRow = 0; resultRow < rows; resultRow++) {
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result[resultColumn + columns * resultRow] =
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matrix1[resultColumn + columns * resultRow] + scalar;
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}
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}
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}
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static void multiplyScalar(const T1 *matrix1, const T2 scalar, T3 *result, uint8_t rows,
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uint8_t columns) {
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for (uint8_t resultColumn = 0; resultColumn < columns; resultColumn++) {
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for (uint8_t resultRow = 0; resultRow < rows; resultRow++) {
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result[resultColumn + columns * resultRow] =
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matrix1[resultColumn + columns * resultRow] * scalar;
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}
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}
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}
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};
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#endif /* MATRIXOPERATIONS_H_ */
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