Answer:
Some differences between Heap and Binary search trees are as following:-
A heap is a complete binary tree.While a Binary Search Tree may be a complete,prefect binary tree.
A minheap the root should be minimum than it's children So it efficient for finding minimum and maximum.While Binary search trees have different properties the root node should be greater than the left child and should be less than the right child.
In creating a table from a dataset that does not have a column and a row, the most important thing that you have to ensure so that your table would come out well is including (C) column headers in your data.
This would ensure that when you change your data into table form, the data will be well-organized based on the column headers that you have made.
Answer:
The answer is "Option b".
Explanation:
In the project of IEEE-754 to define 64 -bit we require a REAL8 double precision that is equal to 8 bytes and 64 bit, and it is also used for floating-point arithmetic, and other options were not correct that can be described as follows:
- In option a, REAL4 is used to define 32-bit, that's why it is not correct.
- In option c, This type of declaration is not valid in IEEE, that's why it is wrong.
- In option d, The REAL is a keyword that is used to define a value but in this, there is no value to define, that's why it is wrong.
A LAN, abbreviated from Local Area Network, is a network that covers a small geographical area such as homes, offices, and groups of buildings. Whereas a WAN, abbreviated from Wide Area Network, is a network that covers larger geographical areas that can span the globe.
A Wide Area Network (WAN) operates over a much larger area, as they interconnect LANs to allow them to exchange data.