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Saturday, March 28, 2015

Maximum days to light candles


You are given heights of n candles .
First day you lit one candle
second day you need to lit two candles
Third day you need to lit three candles
..........
........
till possible.
After lighting candles the height of candles deduced by 1 each day.You can also extinguish any candle you want but only at the end of day.
So you need to tell the maximum number number of days , you can carry on lighting the candles.
Example : there are three candles of heights {2 , 2 ,2 }
Answer : 3
1.You light first candle on day one. heights -> {1,2,2}
2.You light second and third and extinguish first one . heights ->{1, 1,1}
3.You light all the candles. heights -{0,0,0}


This is actually a tricky question. The tricky part is not on the actual implementation, in fact, there is no fancy algorithm here, but on how you think of the question.

In fact, the last paragraph was written 90 minutes ago, then when I tried to use an example to explain my first approach, I realized that is was wrong.

Then comes the second and third approach...

Then I realize the problem is as easy as the interview type suggests: A written test.

This is a simple Greedy approach.

Sort the array. Start from the maximum, each day we add an element and subtract the number of candles needed. So given

2 2 2

Day 1: 2 - 1 = 1
Day 2: 1 + 2 - 2 = 1
Day 3: 1 + 2 - 3 = 0

That's it. Simple. Yeah, simple....


public static int maxDays(int[] candles){
  if(candles == null || candles.length == 0)
   return 0;
  Arrays.sort(candles);
  int lit = candles[candles.length - 1] - 1;
  int count = 1;
  
  for(int i = candles.length - 2; i >= 0; i--){
   if(lit + (candles[i] - (count + 1)) < 0)
    break;
   lit += candles[i] - (++count);
  }
  return count;
 }





4 comments:

  1. Even though this uses greedy approach, won't Dynamic Programming yield a solution faster?

    ReplyDelete
    Replies
    1. Dynamic Programming will give solution but the conditions are not easy to understand. I am trying solve it in more efficient form. This code breaks if you enter an array full of 1's. Please take a look at it.

      Delete
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