LeetCode 273. Integer to English Words 的时间复杂度是多少?
What is the Time Complexity of LeetCode 273. Integer to English Words?
我很难理解这个解决方案的时间复杂度。这道题是关于将数字转换为英文单词的问题。
例如,
输入:num = 1234567891
输出:“12345567891”
StringBuilder insert() 的时间复杂度为 O(n)。
我怀疑时间复杂度是 O(n^2)。但我不确定。其中 n 是位数。
Link 提问:englishToWords
有我的代码:
代码:
class Solution {
private final String[] THOUSANDS = {"", "Thousand", "Million", "Billion"};
private final String[] LESS_THAN_TWENTY = {"", "One", "Two", "Three", "Four", "Five",
"Six", "Seven", "Eight", "Nine", "Ten", "Eleven", "Twelve", "Thirteen", "Fourteen",
"Fifteen", "Sixteen", "Seventeen", "Eighteen", "Nineteen"};
private final String[] TENS = {"", "", "Twenty", "Thirty", "Forty", "Fifty",
"Sixty", "Seventy", "Eighty", "Ninety"};
//O(n) solution
public String numberToWords(int num) {
if (num == 0){
return "Zero";
}
StringBuilder sb = new StringBuilder();
int index = 0;
//this contributes towards time complexity
while (num > 0) {
if (num % 1000 > 0) {
StringBuilder tmp = new StringBuilder();
helper(tmp, num % 1000);
System.out.println(index);
System.out.println("tmp: "+ tmp);
tmp.append(THOUSANDS[index]).append(" ");
//I suspect the time complexity will increase because of this to O(n^2)
sb.insert(0, tmp);
}
index++;
num = num / 1000;
}
return sb.toString().trim();
}
private void helper(StringBuilder tmp, int num) {
if (num == 0) {
return;
} else if (num < 20) {
tmp.append(LESS_THAN_TWENTY[num]).append(" ");
return;
} else if (num < 100) {
tmp.append(TENS[num / 10]).append(" ");
helper(tmp, num % 10);
} else {
tmp.append(LESS_THAN_TWENTY[num / 100]).append(" Hundred ");
helper(tmp, num % 100);
}
}
}
它是 O(log n),假设 n
是 num
,因为你得到的更少n
的数值每位数不超过2个字,位数为ceil(log₁₀(n))
.
将价值翻倍可能会增加 2 个单词,仅此而已。
时间复杂度为 O(n),其中 n 是给定数字的位数。
我们正在遍历一次数字。
我从在 Cisco 和 Google 工作的几个朋友那里证实了这一点。
我很难理解这个解决方案的时间复杂度。这道题是关于将数字转换为英文单词的问题。
例如, 输入:num = 1234567891 输出:“12345567891”
StringBuilder insert() 的时间复杂度为 O(n)。
我怀疑时间复杂度是 O(n^2)。但我不确定。其中 n 是位数。
Link 提问:englishToWords
有我的代码:
代码:
class Solution {
private final String[] THOUSANDS = {"", "Thousand", "Million", "Billion"};
private final String[] LESS_THAN_TWENTY = {"", "One", "Two", "Three", "Four", "Five",
"Six", "Seven", "Eight", "Nine", "Ten", "Eleven", "Twelve", "Thirteen", "Fourteen",
"Fifteen", "Sixteen", "Seventeen", "Eighteen", "Nineteen"};
private final String[] TENS = {"", "", "Twenty", "Thirty", "Forty", "Fifty",
"Sixty", "Seventy", "Eighty", "Ninety"};
//O(n) solution
public String numberToWords(int num) {
if (num == 0){
return "Zero";
}
StringBuilder sb = new StringBuilder();
int index = 0;
//this contributes towards time complexity
while (num > 0) {
if (num % 1000 > 0) {
StringBuilder tmp = new StringBuilder();
helper(tmp, num % 1000);
System.out.println(index);
System.out.println("tmp: "+ tmp);
tmp.append(THOUSANDS[index]).append(" ");
//I suspect the time complexity will increase because of this to O(n^2)
sb.insert(0, tmp);
}
index++;
num = num / 1000;
}
return sb.toString().trim();
}
private void helper(StringBuilder tmp, int num) {
if (num == 0) {
return;
} else if (num < 20) {
tmp.append(LESS_THAN_TWENTY[num]).append(" ");
return;
} else if (num < 100) {
tmp.append(TENS[num / 10]).append(" ");
helper(tmp, num % 10);
} else {
tmp.append(LESS_THAN_TWENTY[num / 100]).append(" Hundred ");
helper(tmp, num % 100);
}
}
}
它是 O(log n),假设 n
是 num
,因为你得到的更少n
的数值每位数不超过2个字,位数为ceil(log₁₀(n))
.
将价值翻倍可能会增加 2 个单词,仅此而已。
时间复杂度为 O(n),其中 n 是给定数字的位数。 我们正在遍历一次数字。
我从在 Cisco 和 Google 工作的几个朋友那里证实了这一点。