I was asked to find a 11×11-grid containing the digits such that one can read the squares of 1,…,100. Here read means that you fix the starting position and direction (8 possibilities) and if you can find for example the digits 1,0,0,0,0,4 consecutively, you have found the squares of 1, 2, 10, 100 and 20. I made a program (the algorithm is not my own. I modified slightly a program which uses best-first search to find a solution but it is too slow. Does anyone know a better algorithm to solve the problem?
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>
#include <vector>
#include <algorithm>
using namespace std;
int val[21][21];//number which is present on position
int vnum[21][21];//number of times the position is used - useful if you want to backtrack
//5 unit borders
int mx[4]={-1,0,1,0};//movement arrays
int my[4]={0,-1,0,1};
int check(int x,int y,int v,int m)//check if you can place number - if you can, return number of overlaps
{
int c=1;
while(v)//extract digits one by one
{
if(vnum[x][y] && (v%10)!=val[x][y])
return 0;
if(vnum[x][y])
c++;
v/=10;
x+=mx[m];
y+=my[m];
}
return c;
}
void apply(int x,int y,int v,int m)//place number - no sanity checks
{
while(v)//extract digits one by one
{
val[x][y]=v%10;
vnum[x][y]++;
v/=10;
x+=mx[m];
y+=my[m];
}
}
void deapply(int x,int y,int v,int m)//remove number - no sanity checks
{
while(v)
{
vnum[x][y]--;
v/=10;
x+=mx[m];
y+=my[m];
}
}
int best=100;
void recur(int num)//go down a semi-random path
{
if(num<best)
{
best=num;
if(best)
printf("FAILED AT %d\n",best);
else
printf("SUCCESS\n");
for(int x=5;x<16;x++) // 16 and 16
{
for(int y=5;y<16;y++)
{
if(vnum[x][y]==0)
putchar('.');
else
putchar(val[x][y]+'0');
}
putchar('\n');
}
fflush(stdout);
}
if(num==0)
return;
int s=num*num,t;
vector<int> poss;
for(int x=5;x<16;x++)
for(int y=5;y<16;y++)
for(int m=0;m<4;m++)
if(t=check(x,y,s,m))
poss.push_back((x)|(y<<8)|(m<<16)|(t<<24));//compress four numbers into an int
if(poss.size()==0)
return;
sort(poss.begin(),poss.end());//essentially sorting by t
t=poss.size()-1;
while(t>=0 && (poss[t]>>24)==(poss.back()>>24))
t--;
t++;
//t is now equal to the smallest index which has the maximal overlap
t=poss[rand()%(poss.size()-t)+t];//select random index>=t
apply(t%256,(t>>8)%256,s,(t>>16)%256);//extract random number
recur(num-1);//continue down path
}
int main()
{
srand((unsigned)time(0));//seed
while(true)
{
for(int i=0;i<21;i++)//reset board
{
memset(val[i],-1,21*sizeof(int));
memset(vnum[i],-1,21*sizeof(int));
}
for(int i=5;i<16;i++)
{
memset(val[i]+5,0,11*sizeof(int));
memset(vnum[i]+5,0,11*sizeof(int));
}
recur(100);
}
}
You’ve got 100 numbers and 121 cells to work with, so you’ll need to be very efficient. We should try to build up the grid, so that each time we fill a cell, we attain a new number in our list.
For now, let’s only worry about 68 4-digit numbers. I think a good chunk of the shorter numbers will be in our grid without any effort.
Start with a 3×3 or 4×4 set of numbers in the top-left of your grid. It can be arbitrary, or fine-tune for slightly better results. Now let’s fill in the rest of the grid one square at a time.
Repeat these steps:
Eventually you may need to fill 2 cells or even 3 cells to achieve a new 4-digit number, but this should be uncommon, except at the end (at which point, hopefully there’s a lot of empty space). Continue the process for the (few?) remaining 3-digit numbers.
There’s a lot room for optimizations and tweaks, but I think this technique is fast and promising and a good starting point. If you get an answer, share it with us! 🙂
Update
I tried my approach and only got 87 out of the 100: