March 2019
Intermediate to advanced
336 pages
9h 9m
English
Content preview from Learn Data Structures and Algorithms with Golang
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Big O notation
The T(n) time function represents the algorithm complexity based on Big O notation. T(n) = O(n) states that an algorithm has a linear time complexity. Using Big O notation, the constant time, linear time, logarithmic time, cubic time, and quadratic time complexity are different complexity types for an algorithm.
Linear time, O(n), is used as a measure of complexity in scenarios such as linear search, traversing, and finding the minimum and maximum number of array elements. ArrayList and queue are data structures that have these methods. An algorithm that has logarithmic time, O(log n), is a binary search in a tree data structure. Bubble sort, selection sort, and insertion sort algorithms have complexity of quadratic time, ...
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