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randmst.c
234 lines (183 loc) · 4.59 KB
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randmst.c
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/*
* Let's first represent each point as an array of floats.
* Feel free to modify this file as needed.
*
*
*
*/
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <math.h>
#include "queue.h"
#define INFTY 100.0
float sq_dist(float a[], float b[], int dim);
void printMat(float** mat, int x_dim, int y_dim);
float Prim(queue* Q, vertex* Graph);
// argv = ["randmst", 0, numpoints, numtrials, dimension]
int main(int argc, char **argv)
{
// ensure correct usage
if (argc != 5)
{
printf("Usage: ./randmst 0 numpoints numtrials dimension\n");
return -1;
}
//TODO: check to see these are integers
int dimension = atoi(argv[4]);
// the number of verticies
int n = atoi(argv[2]);
int numtrials = atoi(argv[3]);
// seed random number generator
srand(time(NULL));
// store the sum of the weights, to be divided by numtrials later
float totalweight = 0;
float cutoff= 8.0*((float)dimension)/((float) n+1);
// the array of vertices (each entry is an array)
float** verts = malloc(n*sizeof(float*));
// initialize the vertices array
for (int i = 0; i < n; i++)
{
verts[i] = malloc(dimension*sizeof(float));
}
// populate graph Graph
vertex* Graph= malloc(n*sizeof(vertex));
// perform numtrials number of trials and add weight to totalweight
for (int t = 0; t < numtrials; t++ )
{
// initialize the vertices array
for (int i = 0; i < n; i++)
{
for(int j = 0; j < dimension; j++)
{
verts[i][j] = (float)rand()/(float)RAND_MAX;
}
}
// TODO: define prim
queue q = init(n);
queue* Q = &q;
for (int i = 0; i < n; i++)
{
vertex v = {INFTY, NULL};
Graph[i]=v;
for(int j = 0; j < i; j++)
{
float squareDistance = sq_dist(verts[i], verts[j], dimension);
if(squareDistance<cutoff)
{
AdjListNode* jNodePtr= newAdjListNode(j, squareDistance);
AdjListNode* iNodePtr= newAdjListNode(i, squareDistance);
if(!Graph[i].adjacentVertices)
{
Graph[i].adjacentVertices=jNodePtr;
}
else
{
jNodePtr -> next = Graph[i].adjacentVertices;
Graph[i].adjacentVertices= jNodePtr;
}
if(!Graph[j].adjacentVertices)
{
Graph[j].adjacentVertices=iNodePtr;
}
else
{
iNodePtr -> next = Graph[j].adjacentVertices;
Graph[j].adjacentVertices=iNodePtr;
}
}
}
}
// populate the weights array with the euclidean distances
// also build adjacency lists
float treeweight = Prim(Q, Graph);
totalweight += treeweight;
// free shit
for (int i = 0; i < n; i++)
{
AdjListNode* trash = Graph[i].adjacentVertices;
while(!trash)
{
AdjListNode* t = trash->next;
free(trash);
trash = t;
}
}
}
// free willy
for (int i = 0; i < n; i++)
{
free(verts[i]);
}
free(verts);
free(Graph);
// printf("%f\n", totalweight);
// printf("The average weight of a %i-dimensional minimum spanning tree with with %i verticies is: \n", dimension, n);
printf("%f %i %i %i \n", totalweight / numtrials, n, numtrials, dimension);
}
//calculates the euclidean distance between two points of dimension "dim"
float sq_dist(float a[], float b[], int dim)
{
float square_sum = 0;
for (int k=0; k < dim; k++)
{
square_sum += pow( a[k] - b[k] , 2.0);
}
return square_sum;
}
void printMat(float** mat, int x_dim, int y_dim)
{
for (int i = 0; i < x_dim; i++)
{
for (int j=0; j < y_dim; j++)
{
printf("%f, ", mat[i][j]);
}
printf("\n");
}
}
void printHeap(queue* Q, vertex* Graph)
{
printf("[");
for (int i =0; i <= Q->last; i++)
{
printf("%f, ", Graph[Q->heap[i]].distFromS);
}
printf("]");
}
float Prim(queue* Q, vertex* Graph)
{
//Take seed to be the first vertex in heap array. Change its distance from the tree to be 0.
decKey(Graph, 0, 0);
// initialize the weight of the MST so far to 0.
float weight=0;
// while the heap isn't empty, delete the minimum element and update the
// remaining vertices distances from the working tree S
while (Q->last >= 0)
{
// printHeap(Q,Graph);
// printf("%i", Q->last);
vertex min = delMin(Q, Graph);
// printf("\ndelMin happening. returns %f\n", sqrt(min.distFromS));
// printHeap(Q,Graph);
weight += sqrt(min.distFromS);
// printf("\nweight:%f\n\n", weight);
// grab the ptr to the adjacent verticies
AdjListNode* adjVerts = min.adjacentVertices;
// update verticies in adjVerts
while(adjVerts!=NULL)
{
// distance from min
float e = adjVerts->edgeLength;
// index of the neighbor
int ind = adjVerts->self;
if(e < Graph[ind].distFromS)
{
decKey(Graph,ind,e);
}
adjVerts = adjVerts->next;
buildHeap(Q, Graph);
}
}
return weight;
}