Exercise 4 for the course "Parallel and distributed systems" of THMMY in AUTH university.
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//ALGORITHM 6
//p_1 is period 1, p_2 is period 2 in no. of iterations
float** filterMARP(int** A, float* x, float e, int max_iterations, float a, int p_1, int p_2, int size){
float* x_new, x_c, y;
int count = 0;
float norm = 1.0;
int* N, C, N_new, C_new;
int** Ann, Acn;
int i;
/*********** ...malloc... *************/
x_new = malloc(size*sizeof(float));
x_c = malloc(size*sizeof(float));
y = malloc(size*sizeof(float));
N = malloc(size*sizeof(int));
C = malloc(size*sizeof(int));
N_new = malloc(size*sizeof(int));
C_new = malloc(size*sizeof(int));
Ann = malloc(size*sizeof(int *));
for(i=0; i<size; i++){
Ann[i] = malloc(size*sizeof(int));
}
Acn = malloc(size*sizeof(int *));
for(i=0; i<size; i++){
Acn[i] = malloc(size*sizeof(int));
}
/******************* start iterations ********************/
while(count<max_iterations && norm<e){
if(count == 0){
gauss_Seidel(x, x_new, A, NULL, NULL, a, size);
}
else{
gauss_Seidel(x, x_new, Ann, Acn, x_c, a, size);
}
count++;
if(count%p_1==0){
N = N_new; //might not be needed
C = C_new;
detect_Converged(N_new, C_new, x_new, x, e); //sinthiki stin prwti selida toy prwtou kefalaiou
filterA(A, Ann, Acn, C_new, N_new, size); //
y = compy(Acn, x, size);//Acn*x ;
x_c = filterx(x_new, C, size);
}
if(count%p_2==0){
norm = comp_norm(x_new, A); //||A*x - x||
}
x = x_new;
}
return x_new;
}
float* compy(int** Acn, float* x, int size){ //Acn*x pollaplasiasmos
float* y;
}
void filterA(int** A, int** Ann, int** Acn, int* C_new, int* N_new, int size){
int i,j;
for(i=0; i<size; i++){
if(C_new[i] == 1){
for(j = 0; j<size;j++){
Ann[i][j] = 0; //sxesi 10 sto pdf
}
}
else{
for(j = 0; j<size;j++){
Ann[i][j] = A[i][j]; //sxesi 10 sto pdf
}
}
}
//Acn part
}
float* filterx(float* xnew, int* C_new, int size){
int i,j;
float *x_c;
x_c = malloc(size*sizeof(float));
for(i=0; i<size; i++){
if(C_new[i] == 1){
x_c[i] = x[i];
}
else{
x_c[i] = 0;
}
}
return x_c;
}
void gauss_Seidel(float* x, float* x_new, int** Ann, int** Acn, float* x_c, float* y, float a, int size){
int i, j;
float sum1 = 0;
float sum2 = 0;
x_new = x; //giati ston algorithmo leei most updated values na xrisimopoiountai gia to sum1
if(Acn == NULL && x_c == NULL){
for(i=0; i<size; i++){
for(j=0;j<i;j++){
sum1 += Ann[i][j]*x_new[j]; //einai o pinakas A afou einai i prwti epanalipsi
}
for(j=i;j<size;j++){
sum2 += Ann[i][j]*x[j];
}
x_new[i] = (1-a)+a*sum1+a*sum2;
}
}
else{
for(i=0; i<size; i++){
for(j=0;j<i;j++){
sum1 += Ann[i][j]*x_new[j];
}
for(j=i;j<size;j++){
sum2 += Ann[i][j]*x[j];
}
x_new[i] = (1-a)+a*sum1+a*sum2+y[i]+x_c[i];
}
}
}
/*#include <stdio.h>
#include <stdlib.h>
void main(){
printf("Hello I am maria \n");
//Read from file of adjacency matrix
FILE *adjm;
int x;
adjm = fopen("adj_matrix.txt", "r+");
if(!adjm){
printf("Error opening file \n");
exit(0);
}
//Read dimensions of file (square)
int m, count=0;
while((m=fgetc(adjm))) {
// break if end of file
if(m == EOF) break;
// otherwise add one to the count of that particular character
if(m=='\n'){
count+=1;
}
}
printf("Line count of matrix is %d \n", count);
int d = count;
int i,j;
// Put values in matrix A
int** A = malloc(d*sizeof(int *));
for( i=0; i<d ; i++){
A[i] = malloc(d*sizeof(int));
}
for( i=0; i<d ; i++){
for(j=0 ; j<d; j++){
if(!fscanf(adjm, "%d ", &A[i][j])){
break;
}
//printf("A[%d][%d] = %d", i , j, A[i][j]);
}
}
fclose(adjm);
printf(" First val is %d Last val is %d \n", A[0][0], A[d-1][d-1]);
//Make A appropriate for the algorithm
// no page has outdegree 0, using uniform probability 1/n, no personalization
int* flag;
flag = malloc(d*sizeof(int));
for(i=0; i<d ; i++){
flag[i] = 0;
}
for( i=0; i<d ; i++){
for(j=0 ; j<d; j++){
if(A[i][j]!=0){
flag[i]=1;
}
}
if(flag[i] == 1){
for(j=0 ; j<d; j++){
A[i][j] = 1;
}
}
printf("A[%d][%d] = %d", i , j, A[i][j]);
}
//Change to transpose of matrix
// Rows become columns
int **AT = malloc(d*sizeof(int *));
for( i=0; i<d ; i++){
AT[i] = malloc(d*sizeof(int));
}
for( i=0; i<d ; i++){
for(j=0 ; j<d; j++){
AT[j][i] = A[i][j];
}
}
}
*/