Problem
EXAMPLE:
Input (ht, wt): (65, 100) (70, 150) (56, 90) (75, 190) (60, 95) (68, 110)
Output: The longest tower is length 6 and includes from top to bottom: (56, 90)
(60,95) (65,100) (68,110) (70,150) (75,190)
Solution
Proposed solution by the book:
Time Complexity
References
http://tianrunhe.wordpress.com/2012/04/01/circus-tower-sorting-problem/
http://stackoverflow.com/questions/6893041/dynamic-programming-question
http://martinm2w.wordpress.com/2012/06/06/9-7-sort-search-circus-tower-largest-possible-number-of-ppl/
A circus is designing a tower routine consisting of people standing atop one another’s shoulders. For practical and aesthetic reasons, each person must be both shorter and lighter than the person below him or her. Given the heights and weights of each person in the circus, write a method to compute the largest possible number of people in such a tower.
EXAMPLE:
Input (ht, wt): (65, 100) (70, 150) (56, 90) (75, 190) (60, 95) (68, 110)
Output: The longest tower is length 6 and includes from top to bottom: (56, 90)
(60,95) (65,100) (68,110) (70,150) (75,190)
Solution
Proposed solution by the book:
- Sort all items by height
first, and then by weight. This means
that if all the heights are unique,
then the items will be sorted by
their height. If heights are the
same, items will be sorted by their
weight. Example: »»Before sorting:
A(60, 100), B(70, 150), C(56, 90) D(75,
190) E(60, 95) F(68,110). »After
sorting:
C (56, 90), E (60, 95), A (60,100), F (68, 110), B (70,150), D (75,190).
- Find the longest sequence
which contains increasing heights and
increasing weights. To do this, we:
- Start at the beginning of the sequence. Currently, max_sequence is empty.
- If, for the next item, the height and the weight is not greater
than those of the previous item, we mark this item as "unfit"
(60,95) (65,100) (75,80) (80, 100) (unfit item)
- If the sequence found has more items than “max sequence”, it becomes “max sequence”.
- After that the search is
repeated from the “unfit item”,
until we reach the end of the original sequence.
Time Complexity
- Sort the data according to height. Denote it as D1. That is O(nlog n).
- Sort the data according to weight. Denote it as D2. That is O(nlog n).
- Find the length of the Longest Common Sub-sequence of D1 and D2. Using dynamic programming, it's O(n^2).
public static int highestTower(List<Pair<Integer>> data) { class HeightComparator implements Comparator<Pair<Integer>> { private int which; public HeightComparator(int which) { this.which = which; } @Override public int compare(Pair<Integer> p1, Pair<Integer> p2) { if (which == 0) { if (!p1.getX().equals(p2.getX())) return p1.getX() - p2.getX(); else { return p1.getY() - p2.getY(); } } else { if (!p1.getY().equals(p2.getY())) return p1.getY() - p2.getY(); else { return p1.getX() - p2.getX(); } } } } List<Pair<Integer>> copy = new ArrayList<Pair<Integer>>(); copy.addAll(data); Collections.sort(data, new HeightComparator(0)); Collections.sort(copy, new HeightComparator(1)); return LCSLength(data, copy); } private static int LCSLength(List<Pair<Integer>> X, List<Pair<Integer>> Y) { int[][] array = new int[X.size() + 1][Y.size() + 1]; for (int i = 0; i < X.size(); ++i) array[i][0] = 0; for (int j = 0; j < Y.size(); ++j) array[0][j] = 0; for (int i = 0; i < X.size(); ++i) { for (int j = 0; j < Y.size(); ++j) { if (X.get(i).equals(Y.get(j))) array[i + 1][j + 1] = array[i][j] + 1; else array[i + 1][j + 1] = Math.max(array[i + 1][j], array[i][j + 1]); } } return array[X.size()][Y.size()]; }
References
http://tianrunhe.wordpress.com/2012/04/01/circus-tower-sorting-problem/
http://stackoverflow.com/questions/6893041/dynamic-programming-question
http://martinm2w.wordpress.com/2012/06/06/9-7-sort-search-circus-tower-largest-possible-number-of-ppl/
0 comments:
Post a Comment