What is the space and time complexity of below code? My assumption is time complexity o(n^2) and space complexity o(n) is that right?

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JavaScript

function func(x, y){
    return x.filter((i) => y.indexOf(i) != -1);
}

let x= ['a','b','c','b','a'];
let y= ['a','b','z'];

console.log(func(x, y));

What I have tried:

My assumption is:
Time complexity o(n^2) : As filter will be o(n) and inside filter indexOf is used that’s another o(n) making total o(n^2)
But as filter and indexOf is on different arrays, should we say o(n*m) or o(n^2) is fine?
and space complexity o(n) -> as I assumed only space required is to store 2 arrays and function. Inside function nothing is stored its just returning results. Will it be right to say o(n) fir 2 arrays and one function?

Posted 7-May-22 20:26pm

Black Mamba Elapidae

Updated 8-May-22 8:29am

v2

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OriginalGriff · Answer 1 · 2022-05-07T21:21:00

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