Answer: Hello your question is poorly written attached below is the well written question
answer:
a) Determine ( compute ) the difference between the max and minimum value. determine the Min and max values using 1.5n comparisons
time efficiency = θ( n )
b) A(n-1) - A(0)
time efficiency = θ( 1 )
Explanation:
a) An unsorted array
To find the maximum and minimum values scan the array of elements , then determine ( compute ) the difference between the max and minimum value. to determine the range. Alternatively determine the Min and max values using 1.5n comparisons
Algorithm's time efficiency = θ( n )
b) A sorted array
To determine the range, we will determine the difference between the first and last element i.e. A(n-1) - A(0)
time efficiency = θ( 1 )
Answer:
The core element of notions is called blocks from where all the content bring forth. It has around fifty blocks.
Explanation:
Notion is the newest and fastest growing productivity tools for the recent memory. Notions has been reached out to the fight club meme status. When it is plain, it is easy to use and start. But even after it many of the users have difficulty in using this tools when it comes to the powerful cases.
There are some steps through that one can start to use this tool for their productivity.
To built the blocks
To organize the notions.
To create the habit tracker
To move the pages in notions
Data base and the views.
Type / - type table - select online- full page
Answer:
b) queue
Explanation:
Queue is also an abstract data type or a linear data structure, just like stack data structure, in which the first element is inserted from one end called the REAR(also called tail), and the removal of existing element takes place from the other end called as FRONT(also called head).
Answer:
A Red Black Tree is a type of self-balancing(BST) in this tree ,each node is red or black colored. The red black tree meets all the properties of the binary search tree, but some additional properties have been added to a Red Black Tree.
A Red-Black tree's height is O(Logn) where (n is the tree's amount of nodes).
In a red-black tree with black height k
The maximum number of internal nodes is
.
The smallest possible number is
.