var twoSum = function(nums, target) {
for(let i = 0; i < nums.length; i++){
for(let j = i + 1; j < nums.length; j++){
if(nums[i] + nums[j] === target){
return [nums.indexOf(nums[i]), nums.lastIndexOf(nums[j])]
}
}
}
}
function([3,5,3,7,2], 9) //It should return [3, 4] since 7 + 2 = 9
This is a Javascript function and it's iterating over the array of numbers with nested for loops and find a pair that when summed, it equals the target and return their indexes. Since it has a nested for loop it I believe it has O(n^2) or quadratic time complexity, and I was wondering if there is a faster way to do this. I'm just trying to get the first pass solution and after improve upon it. 😁 Thanks in advance!
Create an object that maps each element to its last index. Then loop over each element, and see if target - element
is in the object with a different index.
function twoSums(nums, target) { const last_index = {}; nums.forEach((num, i) => last_index[num] = i); for (let i = 0; i < nums.length; i++) { const diff = target - nums[i]; if (diff in last_index && last_index[diff] != i) { return [i, last_index[diff]]; } } } const list = [3,5,3,7,2]; console.log(twoSums(list, 9)); console.log(twoSums(list, 6)); console.log(twoSums(list, 15));
Looking up an object property is O(1), so this algorithm is O(n).
You could use nested map()
:
var twoSum = (nums, target)=> { // map trough list for first number nums.map( (val1, index1)=> { // map through list again for second number to compare to number returned from first map at each instance nums.map((val2, index2) => { // Ensure that index1 and index2 are not the same before you compare if(index1 != index2 && (val1 + val2 === target)) { alert([index1, index2]); return [index1, index2]; } }); } ); } twoSum([3,5,3,7,2], 9) //It should return [3, 4] since 7 + 2 = 9
Note: Remember this won't loop through all the items unless a match has not been found. As soon as a match is found, the function returns, and exit.
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