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vector_matrix.c
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#include <stdio.h>
#include <stdlib.h>
#include "vector_matrix.h"
#include "knowledge.h" // Integration with Knowledge Graph system
// Function to Initialize a Vector Matrix
vector_matrix_t* init_vector_matrix(int rows, int cols) {
vector_matrix_t* matrix = (vector_matrix_t*)malloc(sizeof(vector_matrix_t));
if (!matrix) {
perror("Memory allocation failed for vector matrix");
exit(EXIT_FAILURE);
}
matrix->rows = rows;
matrix->cols = cols;
matrix->data = (int**)malloc(rows * sizeof(int*));
if (!matrix->data) {
perror("Memory allocation failed for matrix rows");
free(matrix);
exit(EXIT_FAILURE);
}
for (int i = 0; i < rows; i++) {
matrix->data[i] = (int*)malloc(cols * sizeof(int));
if (!matrix->data[i]) {
perror("Memory allocation failed for matrix columns");
for (int j = 0; j < i; j++) {
free(matrix->data[j]);
}
free(matrix->data);
free(matrix);
exit(EXIT_FAILURE);
}
}
return matrix;
}
// Function to Free a Vector Matrix
void free_vector_matrix(vector_matrix_t* matrix) {
if (!matrix) return;
for (int i = 0; i < matrix->rows; i++) {
free(matrix->data[i]);
}
free(matrix->data);
free(matrix);
}
// Function to Populate the Vector Matrix with Values
void populate_vector_matrix(vector_matrix_t* matrix, int* values) {
if (!matrix || !values) {
fprintf(stderr, "Invalid matrix or values for population\n");
return;
}
int index = 0;
for (int i = 0; i < matrix->rows; i++) {
for (int j = 0; j < matrix->cols; j++) {
matrix->data[i][j] = values[index++];
}
}
}
// Function to Update the Knowledge Graph with Matrix Operations
void update_knowledge_graph(vector_matrix_t* matrix) {
if (!matrix) {
fprintf(stderr, "Invalid matrix for knowledge graph update\n");
return;
}
char node_name[256];
snprintf(node_name, sizeof(node_name), "Matrix_%dx%d", matrix->rows, matrix->cols);
// Example: Aggregate matrix data for knowledge graph
int sum = 0;
for (int i = 0; i < matrix->rows; i++) {
for (int j = 0; j < matrix->cols; j++) {
sum += matrix->data[i][j];
}
}
// Create a knowledge graph node
add_knowledge_node(node_name, "MatrixEntity");
// Add a relationship indicating the sum of matrix elements
char relationship[256];
snprintf(relationship, sizeof(relationship), "Sum=%d", sum);
add_knowledge_relationship("Root", node_name, relationship);
printf("Knowledge graph updated with node: %s, relationship: %s\n", node_name, relationship);
}
// PMLL Logic Loop Integration for Processing
void pmll_vector_matrix_process(vector_matrix_t* matrix) {
if (!matrix) {
fprintf(stderr, "Invalid matrix for processing\n");
return;
}
printf("Processing the vector matrix...\n");
// Example: Matrix Multiplication (Square Matrix)
if (matrix->rows == matrix->cols) {
vector_matrix_t* result = init_vector_matrix(matrix->rows, matrix->cols);
for (int i = 0; i < matrix->rows; i++) {
for (int j = 0; j < matrix->cols; j++) {
result->data[i][j] = 0;
for (int k = 0; k < matrix->cols; k++) {
result->data[i][j] += matrix->data[i][k] * matrix->data[k][j];
}
}
}
printf("Resultant Matrix:\n");
for (int i = 0; i < result->rows; i++) {
for (int j = 0; j < result->cols; j++) {
printf("%d ", result->data[i][j]);
}
printf("\n");
}
// Update the Knowledge Graph with the result
update_knowledge_graph(result);
free_vector_matrix(result);
} else {
printf("Non-square matrices are currently not supported for this operation.\n");
}
}
// Main Function for Testing
int main() {
// Example values for the matrix
int rows = 3;
int cols = 3;
int values[] = {1, 2, 3, 4, 5, 6, 7, 8, 9};
// Initialize and populate the vector matrix
vector_matrix_t* matrix = init_vector_matrix(rows, cols);
populate_vector_matrix(matrix, values);
printf("Input Matrix:\n");
for (int i = 0; i < matrix->rows; i++) {
for (int j = 0; j < matrix->cols; j++) {
printf("%d ", matrix->data[i][j]);
}
printf("\n");
}
// Process the matrix and integrate with the knowledge graph
pmll_vector_matrix_process(matrix);
// Free allocated resources
free_vector_matrix(matrix);
return 0;
}