Confused with answer about best/worst case time for Python function

According to your code worse case is when x -> infinite. and best case is when x < 1. The sum 3003 is not depended on x at all!

Worst, Average and Best Case Analysis of Algorithms - GeeksforGeeks

In the worst-case analysis, we calculate the upper bound on the running time of an algorithm. We must know the case that causes a maximum number ...

Confusion with Time Complexity analysis and related terms - Reddit

Worst and best are pretty easy to see. Take bubble sort, for example. Best case, the array is already sorted, and the algorithm will take the ...

When discussing time complexity in an interview, should we use the ...

If your algorithm itself has a worst case input, then use that for the complexity. But also mention the average complexity separately. Most ...

Doubt about computing running time / time complexity of a function ...

With this being said, we must now study the worst case scenario, which is when we enter the else statement instead of the if statement. w = u.r ...

Time Complexity Analysis of Python Methods: Big(O) Notations for ...

The time complexity of a function is measured in Big(O) notations ... Best Case, Average Case, Worst Case, Notes. append(), O(1), O(1), O(1) ...

Practice Questions on Time Complexity Analysis - GeeksforGeeks

10. Algorithm A and B have a worst-case running time of O(n) and O(logn), respectively. Therefore, algorithm B always runs ...

Why is the worst case for this function O(n^2)?

As explained by other answers, if no duplicates are allowed, the worst-case is indeed O(n²). An additional optimization would be to use sets or ...

Can the worst case and best case of a computer program ... - Quora

How they are calculated- it is the total number of times you visit the data in a dd for the process to totally complete. If you were to lets say ...

1.11 Best Worst and Average Case Analysis - YouTube

Case Analysis Discussed in this video 1. Best 2. Worst 3.Average Examples Taken 1. Linear Search 2. Binary Search Tree Min time in Worst ...

How do we determine the worst-case running time in the big-O ...

Answer to: How do we determine the worst-case running time in the big-O notation for Python functions? By signing up, you'll get thousands of...

Quicksort worst-case, randomized version and three-way | by thelicato

With the last post, I introduced Quicksort and its Python implementation. At the end of the same post I told you that I would have made an ...

Why is it said that Big O algorithms takes in the worst case ... - Quora

In runtime complexity analysis, you could apply it to functions representing worst case execution time, best case execution time, or average case executio.

Time & Space Complexity in Data Structure [2025] - Simplilearn.com

Best Case, Worst Case, and Average Case in Asymptotic Analysis ... Best Case: It is defined as the condition that allows an algorithm to complete ...

Solved 3. Find the best- and worst-case time complexity of | Chegg ...

Find the best- and worst-case time complexity of the function used to find the two smallest unique integers in an unordered integer array.

Quicksort Algorithm: An Overview | Built In

Let's cover a few key advantages of using Quicksort: It works rapidly and effectively. It has the best time complexity when compared to other sorting algorithms ...

heapq — Heap queue algorithm — Python 3.13.0 documentation

The latter two functions perform best for smaller values of n. For ... worst case is not much different than the average case. However, there are ...

Big O Cheat Sheet – Time Complexity Chart - freeCodeCamp

This helps programmers identify and fully understand the worst-case scenario and the execution time or memory required by an algorithm. The ...

All You Need to Know About Big O Notation [Python Examples]

Other asymptotic (time-measuring) notations are: Informally this is: Big Omega (best case); Big Theta (average case); Big O (worst case).

Sorting Algorithms in Python

Notice how this function calls itself recursively, halving the array each time. ... Interestingly, O(n log2n) is the best possible worst-case runtime that can be ...