Time-complexity of nested for loop
I have loops like this:
What is a O(n) algorithm to solve this puzzle?
We are going to hold a meeting where everybody will speak in clockwise direction around a table. There are n people with n spots. Each person has a position preference (e.g. some want to go first, some last, etc). Everyone is seated randomly and cannot move from their position. How shall we compute the best starting position on the table to satisfy the most people?
What is a O(n) algorithm to solve this puzzle?
We are going to hold a meeting where everybody will speak in clockwise direction around a table. There are n people with n spots. Each person has a position preference (e.g. some want to go first, some last, etc). Everyone is seated randomly and cannot move from their position. How shall we compute the best starting position on the table to satisfy the most people?
What is a O(n) algorithm to solve this puzzle?
We are going to hold a meeting where everybody will speak in clockwise direction around a table. There are n people with n spots. Each person has a position preference (e.g. some want to go first, some last, etc). Everyone is seated randomly and cannot move from their position. How shall we compute the best starting position on the table to satisfy the most people?
What is a O(n) algorithm to solve this puzzle?
We are going to hold a meeting where everybody will speak in clockwise direction around a table. There are n people with n spots. Each person has a position preference (e.g. some want to go first, some last, etc). Everyone is seated randomly and cannot move from their position. How shall we compute the best starting position on the table to satisfy the most people?
What is a O(n) algorithm to solve this puzzle?
We are going to hold a meeting where everybody will speak in clockwise direction around a table. There are n people with n spots. Each person has a position preference (e.g. some want to go first, some last, etc). Everyone is seated randomly and cannot move from their position. How shall we compute the best starting position on the table to satisfy the most people?
Why is the complexity of fetching a value from an array be O(1)?
How come the complexity of fetching a value from an array by it’s index is O(1)?
Asymptotic running time of for-loops
I have this question which I need answered:
What does ‘upper bound’ mean in context of BigO?
My computer science teacher says Big O has an upper bound but no lower bound. When I look at a graph of an algorithm mapped out using BigO though, there isn’t an upper bound at all. The upper limit goes on forever. So what do it mean to say there is an upper bound in the context of BigO?
Big O notation for the algorithm
What would be the big o for the algo: