The time complexity to access an element in a 2D matrix by row-major order is:O(1)O(log n)O(n)O(n^2)

Two matrices M1 and M2 are to be stored in arrays A and B respectively. Each array can be stored either in row-major or column-major order in contiguous memory locations. The time complexity of an algorithm to compute M1 × M2 will be*2 pointsbest if A is in row-major, and B is in column- major orderbest if both are in row-major orderbest if both are in column-major orderindependent of the storage scheme

What is the time complexity of accessing the nth element on an unsorted array?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))

In an array-based implementation of a linear list, what is the time complexity of accessing an element at a given index?Group of answer choicesO(n)O(1)O(log n)O(n log n)

Which of the following is true about Row-major order?Row-major order starts at the top left of the 2D array (when viewing it as a matrix) and traverses down each column until it ends at the bottom right corner.Row-major order starts at the top right of the 2D array (when viewing it as a matrix) and traverses across each row until it ends at the bottom left corner.Row-major order starts at the top left of the 2D array (when viewing it as a matrix) and traverses across each row until it ends at the bottom right corner.Row-major order starts at the bottom left of the 2D array (when viewing it as a matrix) and traverses up each column until it ends at the top right corner.

What is the time complexity of accessing an element in an array by index in Python?