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