"A much better solution than the one in the article, below:
It looks like the ones writing articles here in Javascript do not understand the time/space complexity of javascript methods.
shift, splice, sort, etc... In the solution article you have a shift and a sort being done inside a while, that is, the multiplication of Ns.
My solution, below, iterates through the list once and then sorts it, separately. It´s O(N+Log(N))
class ListNode {
constructor(val = 0, next = null) {
th"
Guilherme F. - "A much better solution than the one in the article, below:
It looks like the ones writing articles here in Javascript do not understand the time/space complexity of javascript methods.
shift, splice, sort, etc... In the solution article you have a shift and a sort being done inside a while, that is, the multiplication of Ns.
My solution, below, iterates through the list once and then sorts it, separately. It´s O(N+Log(N))
class ListNode {
constructor(val = 0, next = null) {
th"See full answer
"bool isValidBST(TreeNode* root, long min = LONGMIN, long max = LONGMAX){
if (root == NULL)
return true;
if (root->val val >= max)
return false;
return isValidBST(root->left, min, root->val) &&
isValidBST(root->right, root->val, max);
}
`"
Alvaro R. - "bool isValidBST(TreeNode* root, long min = LONGMIN, long max = LONGMAX){
if (root == NULL)
return true;
if (root->val val >= max)
return false;
return isValidBST(root->left, min, root->val) &&
isValidBST(root->right, root->val, max);
}
`"See full answer
Data Engineer
Coding
+4 more
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"
O(n) time, O(1) space
from typing import List
def maxsubarraysum(nums: List[int]) -> int:
if len(nums) == 0:
return 0
maxsum = currsum = nums[0]
for i in range(1, len(nums)):
currsum = max(currsum + nums[i], nums[i])
maxsum = max(currsum, max_sum)
return max_sum
debug your code below
print(maxsubarraysum([-1, 2, -3, 4]))
`"
Rick E. - "
O(n) time, O(1) space
from typing import List
def maxsubarraysum(nums: List[int]) -> int:
if len(nums) == 0:
return 0
maxsum = currsum = nums[0]
for i in range(1, len(nums)):
currsum = max(currsum + nums[i], nums[i])
maxsum = max(currsum, max_sum)
return max_sum
debug your code below
print(maxsubarraysum([-1, 2, -3, 4]))
`"See full answer
"public static List Merge(List array1, List array2)
{
if (array1.Count == 0) return array2;
if (array2.Count == 0) return array1;
var result = new List();
// Identify starting array, array with largest starting element
var array = array1[0] > array2[0] ? array2 : array1;
var other = array1[0] > array2[0] ? array1 : array2;
// loop until we hit end of an array
int arrayIndex = 0;
int otherIndex = 0;
while(arrayIndex"
Mark S. - "public static List Merge(List array1, List array2)
{
if (array1.Count == 0) return array2;
if (array2.Count == 0) return array1;
var result = new List();
// Identify starting array, array with largest starting element
var array = array1[0] > array2[0] ? array2 : array1;
var other = array1[0] > array2[0] ? array1 : array2;
// loop until we hit end of an array
int arrayIndex = 0;
int otherIndex = 0;
while(arrayIndex"See full answer
"from typing import List
def traprainwater(height: List[int]) -> int:
if not height:
return 0
l, r = 0, len(height) - 1
leftMax, rightMax = height[l], height[r]
res = 0
while l < r:
if leftMax < rightMax:
l += 1
leftMax = max(leftMax, height[l])
res += leftMax - height[l]
else:
r -= 1
rightMax = max(rightMax, height[r])
"
Anonymous Roadrunner - "from typing import List
def traprainwater(height: List[int]) -> int:
if not height:
return 0
l, r = 0, len(height) - 1
leftMax, rightMax = height[l], height[r]
res = 0
while l < r:
if leftMax < rightMax:
l += 1
leftMax = max(leftMax, height[l])
res += leftMax - height[l]
else:
r -= 1
rightMax = max(rightMax, height[r])
"See full answer
"function isPalindrome(s, start, end) {
while (s[start] === s[end] && end >= start) {
start++;
end--;
}
return end <= start;
}
function longestPalindromicSubstring(s) {
let longestPalindrome = '';
for (let i=0; i < s.length; i++) {
let j = s.length-1;
while (s[i] !== s[j] && i <= j) {
j--;
}
if (s[i] === s[j]) {
if (isPalindrome(s, i, j)) {
const validPalindrome = s.substring(i, j+1"
Tiago R. - "function isPalindrome(s, start, end) {
while (s[start] === s[end] && end >= start) {
start++;
end--;
}
return end <= start;
}
function longestPalindromicSubstring(s) {
let longestPalindrome = '';
for (let i=0; i < s.length; i++) {
let j = s.length-1;
while (s[i] !== s[j] && i <= j) {
j--;
}
if (s[i] === s[j]) {
if (isPalindrome(s, i, j)) {
const validPalindrome = s.substring(i, j+1"See full answer
"Leetcode 347: Heap + Hashtable
Follow up question: create heap with the length of K instead of N (more time complexity but less space )"
Chen J. - "Leetcode 347: Heap + Hashtable
Follow up question: create heap with the length of K instead of N (more time complexity but less space )"See full answer
"import java.util.Arrays;
import java.util.stream.Collectors;
class Main
{
// Recursive function to print all combinations of numbers from \i\ to \n\
// having sum \n. The index\ denotes the next free slot in the output array \out\
public static void printCombinations(int i, int n, int[] out, int index)
{
// if the sum becomes n, print the combination
if (n == 0)
{
System.out.println(Arrays.stream(out).limit(index)
.boxed().collect(Collectors.toList()));
}
// start from the previous e"
Relynn may silver B. - "import java.util.Arrays;
import java.util.stream.Collectors;
class Main
{
// Recursive function to print all combinations of numbers from \i\ to \n\
// having sum \n. The index\ denotes the next free slot in the output array \out\
public static void printCombinations(int i, int n, int[] out, int index)
{
// if the sum becomes n, print the combination
if (n == 0)
{
System.out.println(Arrays.stream(out).limit(index)
.boxed().collect(Collectors.toList()));
}
// start from the previous e"See full answer