我正在尝试编写一个递归算法,找到两个列表中最长的公共子序列,如http://en.wikipedia.org/wiki/Longest_common_subsequence_problem#LCS_function_defined
中所述似乎递归永远不会结束,我无法弄清楚我正在做什么呢
public static List<ActionType> getLongestSequence(List<ActionType> list1, List<ActionType> list2) {
return getLongestSequence(list1, list2, list1.size(), list2.size());
}
public static List<ActionType> getLongestSequence(List<ActionType> list1, List<ActionType> list2, int list1index, int list2index) {
if (list1index == 0 || list2index == 0) {
return new ArrayList<ActionType>();
}
if (list1.get(list1index-1).equals(list2.get(list2index-1))) {
List<ActionType> retVal = getLongestSequence(list1, list2, list1index-1, list2index-1);
retVal.add(list1.get(list1index-1));
return retVal;
} else {
List<ActionType> ret1 = getLongestSequence(list1, list2, list1index, list2index-1);
List<ActionType> ret2 = getLongestSequence(list1, list2, list1index-1, list2index);
if (ret1.size() > ret2.size()) {
return ret1;
} else {
return ret2;
}
}
}
任何帮助解决这个问题的人都表示赞赏。谢谢。
答案 0 :(得分:1)
这个问题很复杂。实现记忆将运行时间从一天减少到几秒钟。
以下是更新的算法:
public static List<ActionType> getLongestSequence(List<ActionType> list1, List<ActionType> list2) {
lcsMemorize = new HashMap<Integer, List<ActionType>>();
return getLongestSequence(list1, list2, list1.size(), list2.size());
}
public static List<ActionType> getLongestSequence(List<ActionType> list1, List<ActionType> list2, int list1index, int list2index) {
List<ActionType> retVal = lcsMemorize.get(list1index + list2index * 1000000);
if (retVal != null) {
return retVal;
} else if (list1index == 0 || list2index == 0) {
retVal = new ArrayList<ActionType>();
} else if (list1.get(list1index-1).equals(list2.get(list2index-1))) {
List<ActionType> returned = getLongestSequence(list1, list2, list1index-1, list2index-1);
retVal = new ArrayList<ActionType>(returned);
retVal.add(list1.get(list1index-1));
} else {
List<ActionType> ret1 = getLongestSequence(list1, list2, list1index, list2index-1);
List<ActionType> ret2 = getLongestSequence(list1, list2, list1index-1, list2index);
if (ret1.size() > ret2.size()) {
retVal = ret1;
} else {
retVal = ret2;
}
}
lcsMemorize.put(list1index + list2index * 1000000, retVal);
return retVal;
}
注意:
在我的运行中,原始列表长度为1100 - 1300个元素,ActionType是枚举。这种方法使用了大量内存。我不得不将JVM堆大小增加到4GB。