Given a collection of candidate numbers (C) and a target number (T), find all unique combinations in C where the candidate numbers sums to T.

Each number in C may only be used once in the combination.

Note:

  • All numbers (including target) will be positive integers.
  • Elements in a combination (a1, a2, … , ak) must be in non-descending order. (ie, a1 ≤ a2 ≤ … ≤ ak).
  • The solution set must not contain duplicate combinations.

For example, given candidate set 10,1,2,7,6,1,5 and target 8,
A solution set is:
[1, 7]
[1, 2, 5]
[2, 6]
[1, 1, 6]

解题思路:

修改上题代码,将DFS宽度设置成2即可,注意使用Set,防止重复,JAVA实现如下:

public List<List<Integer>> combinationSum2(int[] candidates, int target) {
Set<List<Integer>> list = new HashSet<List<Integer>>();
Arrays.sort(candidates);
dfs(list, candidates, 0, target, 0);
return new ArrayList<List<Integer>>(list);
}
static List<Integer> list2 = new ArrayList<Integer>();
static void dfs(Set<List<Integer>> list, int[] array, int result,int target, int depth) {
if (result == target) {
list.add(new ArrayList<Integer>(list2));
return;
}
else if (depth >= array.length || result > target)
return;
for (int i = 0; i <= 1; i++) {
for (int j = 0; j < i; j++)
list2.add(array[depth]);
dfs(list, array, result + array[depth] * i, target, depth+1);
for (int j = 0; j < i; j++)
list2.remove(list2.size() - 1);
}
}

结果453 ms,效率略低,因此换掉Set,用一个变量计算每次DFS的宽度,JAVA实现如下:

public List<List<Integer>> combinationSum2(int[] candidates, int target) {
ArrayList<List<Integer>> list = new ArrayList<List<Integer>>();
Arrays.sort(candidates);
dfs(list, candidates, 0, target, 0);
return list;
}
static List<Integer> list2 = new ArrayList<Integer>();
static void dfs(ArrayList<List<Integer>> list, int[] array, int result,int target, int depth) {
if (result == target) {
list.add(new ArrayList<Integer>(list2));
return;
}
else if (depth >= array.length || result > target)
return;
int step=1;
while(depth<array.length-1&&array[depth]==array[depth+1]){
depth++;
step++;
}
for (int i = 0; i <= step; i++) {
for (int j = 0; j < i; j++)
list2.add(array[depth]);
dfs(list, array, result + array[depth] * i, target, depth+1);
for (int j = 0; j < i; j++)
list2.remove(list2.size() - 1);
}
}

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