3 additions and 2 deletions
2 deletions and 3 additions
3 deletions and 4 additions
3 deletions and 3 additions
D. 3 deletions and 3 additions
underflow
overflow
housefull
saturated
Sorting
Merging
Inserting
Traversal
array
lists
stacks
all of above
internal change
inter-module change
side effect
side-module update
Graph
Binary tree
Trees
Stack
O(n)
O(log n)
O(n2)
O(n log n)
must use a sorted array
requirement of sorted array is expensive when a lot of insertion and deletions are needed
there must be a mechanism to access middle element directly
binary search algorithm is not efficient when the data elements are more than 1000.
Operations
Algorithms
Storage Structures
None of above
Traversal
Search
Sort
None of above
Graphs
Binary tree
Stacks
Queues
Tree
Graph
Priority
Dequeue
Stacks
Dequeues
Queues
Binary search tree
push, pop
insert, delete
pop, push
delete, insert
for relatively permanent collections of data
for the size of the structure and the data in the structure are constantly changing
for both of above situation
for none of above situation
grounded header list
circular header list
linked list with header and trailer nodes
none of above
elementary items
atoms
scalars
all of above
LOC(Array[5]=Base(Array)+w(5-lower bound), where w is the number of words per memory cell for the array
LOC(Array[5])=Base(Array[5])+(5-lower bound), where w is the number of words per memory cell for the array
LOC(Array[5])=Base(Array[4])+(5-Upper bound), where w is the number of words per memory cell for the array
None of above
An array is suitable for homogeneous data but the data items in a record may have different data type
In a record, there may not be a natural ordering in opposed to linear array.
A record form a hierarchical structure but a linear array does not
All of above
linear arrays
linked lists
both of above
none of above
Stack
Queue
List
Link list
3 additions and 2 deletions
2 deletions and 3 additions
3 deletions and 4 additions
3 deletions and 3 additions
Stacks linked list
Queue linked list
Both of them
Neither of them
When Item is somewhere in the middle of the array
When Item is not in the array at all
When Item is the last element in the array
When Item is the last element in the array or is not there at all
The item is somewhere in the middle of the array
The item is not in the array at all
The item is the last element in the array
The item is the last element in the array or is not there at all
The list must be sorted
there should be the direct access to the middle element in any sublist
There must be mechanism to delete and/or insert elements in list
none of above
sorted linked list
sorted binary trees
sorted linear array
pointer array
O(n)
O(log n)
O(n2)
O(n log n)
Trees
Graphs
Arrays
None of above
P contains the address of an element in DATA.
P points to the address of first element in DATA
P can store only memory addresses
P contain the DATA and the address of DATA
Best case
Null case
Worst case
Average case