Quote:
Originally Posted by Baltimore Jones
Noodle, I'm bad with "advanced" math as well, but if you basically get what O(log n) is that's good enough. I honestly don't know what log or logarithmic means outside of the context of time complexity.
Some of the more complex algorithms may require a better understanding, but the array of basic algorithms and data structures don't.
Do you have access to the full AA curriculum or still just the public repos?
Not that it matters but logarithms are just the inverse function of exponentiation.
Given the equation b^x = y the logarithm of y in base b will be x and is usually written as:
log sub b y = x
If the base isn't given then it's assumed 10 is the base.
LN is the natural logarithmic function and always corresponds to a base of the mathematical constant e.
**The more you know**