#include #include #include "matrix.h" // TODO Matrix-Funktionen implementieren Matrix createMatrix(unsigned int rows, unsigned int cols) { Matrix m; // Default: leere Matrix bei Fehler/Null-Dimensionen m.rows = 0; m.cols = 0; m.buffer = NULL; if (rows == 0 || cols == 0) { return m; } size_t count = (size_t)rows * (size_t)cols; m.buffer = (MatrixType *)calloc(count, sizeof(MatrixType)); if (!m.buffer) { // Allocation failed -> return empty matrix return m; } // Nur bei erfolgreicher Allokation Dimensionen setzen m.rows = rows; m.cols = cols; return m; } void clearMatrix(Matrix *matrix) { if (!matrix) return; free(matrix->buffer); matrix->buffer = NULL; matrix->rows = 0; matrix->cols = 0; } void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx) { if (matrix.buffer == NULL) return; if (rowIdx >= matrix.rows || colIdx >= matrix.cols) return; size_t idx = (size_t)rowIdx * matrix.cols + colIdx; matrix.buffer[idx] = value; } MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx) { if (matrix.buffer == NULL) return (MatrixType)0; if (rowIdx >= matrix.rows || colIdx >= matrix.cols) return (MatrixType)0; size_t idx = (size_t)rowIdx * matrix.cols + colIdx; return matrix.buffer[idx]; } Matrix add(const Matrix matrix1, const Matrix matrix2) { Matrix result; result.rows = result.cols = 0; result.buffer = NULL; /* einfache Validierung */ if (matrix1.rows == 0 || matrix1.cols == 0 || matrix1.buffer == NULL) return result; if (matrix2.rows == 0 || matrix2.cols == 0 || matrix2.buffer == NULL) return result; /* Fall 1: gleiche Dimensionen -> elementweise Addition */ if (matrix1.rows == matrix2.rows && matrix1.cols == matrix2.cols) { result = createMatrix(matrix1.rows, matrix1.cols); if (!result.buffer) return result; size_t count = (size_t)matrix1.rows * matrix1.cols; for (size_t i = 0; i < count; ++i) result.buffer[i] = matrix1.buffer[i] + matrix2.buffer[i]; return result; } /* Fall 2: matrix2 ist Bias (rows x 1) -> broadcast über Spalten von matrix1 */ if (matrix1.rows == matrix2.rows && matrix2.cols == 1) { result = createMatrix(matrix1.rows, matrix1.cols); if (!result.buffer) return result; for (unsigned int c = 0; c < matrix1.cols; ++c) { for (unsigned int r = 0; r < matrix1.rows; ++r) { size_t idx = (size_t)r * matrix1.cols + c; result.buffer[idx] = matrix1.buffer[idx] + matrix2.buffer[r]; } } return result; } /* Fall 3: matrix1 ist Bias (rows x 1) -> broadcast über Spalten von matrix2 */ if (matrix2.rows == matrix1.rows && matrix1.cols == 1) { result = createMatrix(matrix2.rows, matrix2.cols); if (!result.buffer) return result; for (unsigned int c = 0; c < matrix2.cols; ++c) { for (unsigned int r = 0; r < matrix2.rows; ++r) { size_t idx = (size_t)r * matrix2.cols + c; result.buffer[idx] = matrix2.buffer[idx] + matrix1.buffer[r]; } } return result; } /* keine kompatible Form -> leere Matrix zurückgeben */ return result; } Matrix multiply(const Matrix matrix1, const Matrix matrix2) { Matrix result; result.rows = result.cols = 0; result.buffer = NULL; if (matrix1.cols != matrix2.rows) return result; if (matrix1.rows == 0 || matrix1.cols == 0 || matrix2.cols == 0) return result; result = createMatrix(matrix1.rows, matrix2.cols); if (!result.buffer) return result; for (unsigned int i = 0; i < matrix1.rows; ++i) { for (unsigned int j = 0; j < matrix2.cols; ++j) { MatrixType sum = (MatrixType)0; for (unsigned int k = 0; k < matrix1.cols; ++k) { sum += getMatrixAt(matrix1, i, k) * getMatrixAt(matrix2, k, j); } setMatrixAt(sum, result, i, j); } } return result; }