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Nishiura_high
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My textbook says O(3log2 n) can be written as O(nlog2 3). Why is that?
Thank you.
Thank you.
Nishiura_high said:My textbook says O(3log2 n) can be written as O(nlog2 3). Why is that?
Thank you.
Big-Oh notation with logarithms is used to describe the growth rate of a function or algorithm. It helps us understand how the performance of a function or algorithm changes as the input size increases.
To determine the Big-Oh complexity of a function with logarithms, you can use the rules of logarithms and simplify the expression until you are left with the dominant term. The dominant term will be the one with the largest exponent, and that will be the Big-Oh complexity of the function.
Yes, Big-Oh notation with logarithms can be used for any function that has a logarithm in its expression. However, it is often used for functions with large input sizes or complex algorithms.
The function with a lower Big-Oh complexity is considered more efficient. So, to compare the efficiency of two functions with logarithms, you can simply compare their Big-Oh complexities. The one with the lower complexity will be more efficient.
Yes, the base of the logarithm is taken into account when using Big-Oh notation. However, the base of the logarithm does not affect the overall complexity of the function, as it only results in a constant factor. Therefore, it is usually ignored in Big-Oh notation.