BIG O

2019独角兽企业重金招聘Python工程师标准>>>

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I've been learning more about Big O Notation and how to calculate it based on how an algorithm is written. I came across an interesting set of "rules" for calculating an algorithms Big O notation and I wanted to see if I'm on the right track or way off. Big O Notation: N function(n) { For(var a = 0; i <= n; i++) { // It's N because it's just a single loop // Do stuff } } Big O Notation: N2 function(n, b) { For(var a = 0; a <= n; a++) { For(var c = 0; i <= b; c++) { // It's N squared because it's two nested loops // Do stuff } } } Big O Notation: 2N function(n, b) { For(var a = 0; a <= n; a++) { // Do stuff } For(var c = 0; i <= b; c++) { // It's 2N the loops are outside each other // Do stuff } } Big O Notation: NLogN function(n) { n.sort(); // The NLogN comes from the sort? For(var a = 0; i <= n; i++) { // Do stuff } }

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