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List of Big-O for PHP functions
After using PHP for a while now, I've noticed that not all built-in PHP functions are as fast as expected. Consider these two possible implementations of a function that finds if a number is prime using a cached array of primes.
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Difference between Big-O and Little-O Notation
What is the difference between Big-O notation O(n) and Little-O notation o(n) ?
4 Answers
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Maximum single-sell profit
Suppose we are given an array of n integers representing stock prices on a single day. We want to find a pair (buyDay, sellDay) , with buyDay ≤ sellDay , such that if we bought the stock on buyDay and sold it on sellDay , we would maximize our profit.
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Is Big O(logn) log base e?
For binary search tree type of data structures, I see the Big O notation is typically noted as O(logn). With a lowercase 'l' in log, does this imply log base e (n) as described by the natural logarithm? Sorry for the simple question but I've always had trouble distinguishing between the different...
Computational complexity of Fibonacci Sequence
I understand Big-O notation, but I don't know how to calculate it for many functions. In particular, I've been trying to figure out the computational complexity of the naive version of the Fibonacci sequence:
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What would cause an algorithm to have O(log log n) complexity?
This earlier question addresses some of the factors that might cause an algorithm to have O(log n) complexity.
2 Answers
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What exactly does big Ө notation represent?
I'm really confused about the differences between big O, big Omega, and big Theta notation.
6 Answers
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What encoding/code page is cmd.exe using?
When I open cmd.exe in Windows, what encoding is it using?
6 Answers
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What does “O(1) access time” mean?
I have seen this term "O(1) access time" used to mean "quickly" but I don't understand what it means. The other term that I see with it in the same context is "O(n) access time". Could someone please explain in a simple way what these terms mean?
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Big O, how do you calculate/approximate it?
Most people with a degree in CS will certainly know what Big O stands for .
It helps us to measure how well an algorithm scales.
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