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1. What is Big O Notation, What Time and Space Complexity
Answer:- Big O Notation is a mathematical notation describe the limiting behavior of a function when the argument tends towards a particular value or infinity.
बिग ओ नोटेशन एक गणितीय संकेतन है जो किसी फ़ंक्शन के सीमित व्यवहार का वर्णन करता है जब तर्क किसी विशेष मान या अनंत की ओर जाता है।
"Big O Notation is key in Algorithms and Data Structure, Big O Notation describe the complexity of your code using algebraic terms."
"बिग ओ नोटेशन एल्गोरिदम और डेटा संरचना में महत्वपूर्ण है, बिग ओ नोटेशन बीजगणितीय शब्दों का उपयोग करके आपके कोड की जटिलता का वर्णन करता है।"
Big O Notation describe the worst-case scenarios with the complexity
1. O(1) :- Constant Complexity -> Execution time does not depend on data size.
For Example - 0(1) operations
let array = [1, 2, 3, 4, 5, 6]
Accessing an element in an array by index.
print(array[0])
print(array[2])
Here is an example of an O(1) constant time complexity function in Swift:
func getFirstElement<T>(of array: [T])->T?{
return array.first
}
let number = [10,20,30,40,50,60]
if let firstElement = getFirstElement(of: number){
print("The first element is \(firstElement)")
}else{
print("array is Empty")
}
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