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Mastering High Performance with Kotlin

You're reading from   Mastering High Performance with Kotlin Overcome performance difficulties in Kotlin with a range of exciting techniques and solutions

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788996648
Length 316 pages
Edition 1st Edition
Languages
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Author (1):
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Igor Kucherenko Igor Kucherenko
Author Profile Icon Igor Kucherenko
Igor Kucherenko
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Toc

Time complexity

Time complexity measures, or estimates, the time by counting the number of elementary operations. It assumes that performing an elementary operation takes a fixed amount of time. To get a fixed amount of time, you can assume either worst-case complexity or average complexity.

Most commonly, the big O notation is used to express time complexity; for instance, O(1) or O(n):

Let's look at the time complexity of the collections from the JDK.

Calculating time complexity

Let's look at the next example:

inline fun operation(n: Int, statement: () -> Unit) {
for (i in 0..n) {
statement()
}
}

The execution time of the statement is constant. The time complexity of the preceding code is linear...

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