generated from freudenreichan/info2Praktikum-NeuronalesNetz
aktuellster Stand ziehen #4
3
.vscode/settings.json
vendored
Normal file
3
.vscode/settings.json
vendored
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@ -0,0 +1,3 @@
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{
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"makefile.configureOnOpen": false
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}
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28
.vscode/tasks.json
vendored
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28
.vscode/tasks.json
vendored
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{
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"tasks": [
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{
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"type": "cppbuild",
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"label": "C/C++: gcc.exe build active file",
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"command": "C:\\ProgramData\\mingw64\\mingw64\\bin\\gcc.exe",
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"args": [
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"-fdiagnostics-color=always",
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"-g",
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"${file}",
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"-o",
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"${fileDirname}\\${fileBasenameNoExtension}.exe"
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],
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"options": {
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"cwd": "${fileDirname}"
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},
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"problemMatcher": [
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"$gcc"
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],
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"group": {
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"kind": "test",
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"isDefault": true
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},
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"detail": "Task generated by Debugger."
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}
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],
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"version": "2.0.0"
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}
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113
matrix.c
113
matrix.c
@ -4,32 +4,139 @@
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// TODO Matrix-Funktionen implementieren
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// TODO Matrix-Funktionen implementieren
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/*
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Matrix createMatrix(unsigned int rows, unsigned int cols)
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Matrix createMatrix(unsigned int rows, unsigned int cols)
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{
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{
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Matrix result;
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// Sonderfall: ungültige Dimensionen
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if (rows == 0 || cols == 0)
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{
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result.rows = 0;
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result.cols = 0;
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result.buffer = NULL;
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return result;
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}
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// Speicher für rows * cols Elemente vom Typ MatrixType reservieren
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result.buffer = malloc(rows * cols * sizeof(MatrixType));
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// Wenn malloc fehlschlägt, Matrix als leer zurückgeben
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if (result.buffer == NULL)
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{
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result.rows = 0;
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result.cols = 0;
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return result;
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}
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// Erfolgreiche Initialisierung
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result.rows = rows;
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result.cols = cols;
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return result;
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}
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}
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*/
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// Erstellt eine neue Matrix mit gegebener Zeilen- und Spaltenanzahl
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Matrix createMatrix(unsigned int rows, unsigned int cols)
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{
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Matrix matrix = {0, 0, NULL}; // Initialisierung mit leeren Werten
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if (rows == 0 || cols == 0) return matrix; // Ungültige Dimensionen → leere Matrix zurückgeben
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matrix.rows = rows;
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matrix.cols = cols;
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matrix.buffer = malloc(rows * cols * sizeof(MatrixType)); // Speicher für die Matrixdaten reservieren
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if (matrix.buffer == NULL) { // Falls Speicherreservierung fehlschlägt
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matrix.rows = 0;
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matrix.cols = 0;
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}
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return matrix;
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}
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// Gibt den Speicher einer Matrix frei und setzt die Werte auf Null
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void clearMatrix(Matrix *matrix)
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void clearMatrix(Matrix *matrix)
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{
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{
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if (matrix->buffer != NULL) {
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free(matrix->buffer); // Speicher freigeben
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matrix->buffer = NULL;
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}
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matrix->rows = 0;
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matrix->cols = 0;
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}
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}
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// Setzt einen Wert an eine bestimmte Position in der Matrix
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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{
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if (rowIdx >= matrix.rows || colIdx >= matrix.cols || matrix.buffer == NULL) return;
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matrix.buffer[rowIdx * matrix.cols + colIdx] = value; // Indexberechnung: Zeile * Spaltenanzahl + Spalte
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}
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}
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// Gibt den Wert an einer bestimmten Position zurück
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MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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{
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if (rowIdx >= matrix.rows || colIdx >= matrix.cols || matrix.buffer == NULL)
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return UNDEFINED_MATRIX_VALUE; // Rückgabe eines Standardwerts bei ungültigem Zugriff
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return matrix.buffer[rowIdx * matrix.cols + colIdx];
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}
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}
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// Addiert zwei Matrizen miteinander (entweder elementweise oder mit Broadcasting)
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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{
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Matrix result = {0, 0, NULL};
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// Elementweise Addition: gleiche Dimensionen
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if (matrix1.rows == matrix2.rows && matrix1.cols == matrix2.cols) {
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result = createMatrix(matrix1.rows, matrix1.cols);
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if (result.buffer == NULL) return result;
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for (unsigned int i = 0; i < matrix1.rows * matrix1.cols; ++i)
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result.buffer[i] = matrix1.buffer[i] + matrix2.buffer[i];
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return result;
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}
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// Broadcasting: eine Matrix hat nur eine Spalte (Spaltenvektor)
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if (matrix1.rows == matrix2.rows && (matrix1.cols == 1 || matrix2.cols == 1)) {
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Matrix matrix = matrix1.cols == 1 ? matrix1 : matrix2; // Vektor
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Matrix other = matrix1.cols == 1 ? matrix2 : matrix1; // Matrix
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result = createMatrix(other.rows, other.cols);
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if (result.buffer == NULL) return result;
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for (unsigned int r = 0; r < other.rows; ++r) {
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MatrixType val = matrix.buffer[r]; // Wert aus dem Vektor
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for (unsigned int c = 0; c < other.cols; ++c)
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result.buffer[r * other.cols + c] = other.buffer[r * other.cols + c] + val;
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}
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return result;
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||||||
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}
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||||||
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return result; // Rückgabe einer leeren Matrix bei inkompatiblen Dimensionen
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||||||
}
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}
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||||||
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||||||
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// Multipliziert zwei Matrizen miteinander (Matrixmultiplikation)
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||||||
Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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||||||
{
|
{
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||||||
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Matrix result = {0, 0, NULL};
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if (matrix1.cols != matrix2.rows) return result; // Dimensionen müssen passen: A.cols == B.rows
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||||||
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result = createMatrix(matrix1.rows, matrix2.cols);
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||||||
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if (result.buffer == NULL) return result;
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||||||
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||||||
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// Matrixmultiplikation: Zeile von A mit Spalte von B multiplizieren
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for (unsigned int i = 0; i < matrix1.rows; ++i) {
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for (unsigned int j = 0; j < matrix2.cols; ++j) {
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MatrixType sum = 0;
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||||||
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for (unsigned int k = 0; k < matrix1.cols; ++k) {
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sum += getMatrixAt(matrix1, i, k) * getMatrixAt(matrix2, k, j);
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}
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setMatrixAt(sum, result, i, j);
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||||||
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}
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||||||
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}
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||||||
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|
||||||
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return result;
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||||||
}
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}
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||||||
8
matrix.h
8
matrix.h
@ -6,6 +6,14 @@
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|||||||
typedef float MatrixType;
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typedef float MatrixType;
|
||||||
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|
||||||
// TODO Matrixtyp definieren
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// TODO Matrixtyp definieren
|
||||||
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// *****************************************************
|
||||||
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typedef struct {
|
||||||
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unsigned int rows;
|
||||||
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unsigned int cols;
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||||||
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MatrixType *buffer;
|
||||||
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} Matrix;
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||||||
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// *****************************************************
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
Matrix createMatrix(unsigned int rows, unsigned int cols);
|
Matrix createMatrix(unsigned int rows, unsigned int cols);
|
||||||
|
|||||||
Loading…
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Reference in New Issue
Block a user