Algorithms related with Randomness


Write a method to shuffle a deck of cards. It must be a perfect shuffle - in other words, each 52! permutations of the deck has to be equally likely. Assume that you are given a random number generator which is perfect. - From Cracking the Code Interview

public static void shuffleArray(int[] cards) {
   int temp, index;
   for (int i = 0; i < cards.length; i++){
     index = (int) (Math.random() * (cards.length - i)) + i;
     temp = cards[i];
     cards[i] = cards[index];
     cards[index] = temp;
   }
}

Write a method to randomly generate a set of m integers from an array of size n. Each element must have equal probability of being chosen. - From Cracking the Code Interview
public static int rand(int lower, int higher) {
 return lower + (int)(Math.random() * (higher - lower + 1));
 }
 /* pick M elements from original array. Clone original array so that
 * we don’t destroy the input. */
 public static int[] pickMRandomly(int[] original, int m) {
   int[] subset = new int[m];
   int[] array = original.clone();
   for (int j = 0; j < m; j++) {
     int index = rand(j, array.length - 1);
     subset[j] = array[index];
     array[index] = array[j]; // array[j] is now “dead”
   }
   return subset;
 }
We can first pull a random set of size m from the first n - 1 elements. Then, we just need to decide if
array [ n] should be inserted into our subset (which would require pulling out a random element from it).
An easy way to do this is to pick a random number k from 0 through n. If k < m, then insert array[ n] into subset [ k]. This will both "fairly" (i.e., with proportional probability) insert array[ n] into the subset and "fairly" remove a random element from the subset.
/* pick M elements from original array, using only elements 0 through i (inclusive).*/
public static int[] pickMRecursively(int[] original, int m, int i) {
  if (i + 1 < m) { // Not enough elements
    return null; 
  } else if (i + 1 == m) { // Base case -- copy first m elements into array
    int[] set = new int[m];
    for (int k = 0; k < m; k++) {
      set[k] = original[k];
    }
    return set;
  } else {
    int[] set = pickMRecursively(original, m, i - 1);
    int k = rand(0, i);
    if (k < m) {
      set[k] = original[i];
    }
    return set;
  }
}

/* pick M elements from original array.*/
public static int[] pickMIteratively(int[] original, int m) {
  int[] subset = new int[m];
  
  /* Fill in subset array with first part of original array */
  for (int i = 0; i < m ; i++) {
    subset[i] = original[i];
  }
  
  /* Go through rest of original array. */
  for (int i = m; i < original.length; i++) {
    int k = rand(0, i);
    if (k < m) {
      subset[k] = original[i];
    }
  }
  
  return subset;

}

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