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
C. There must be mechanism to delete and/or insert elements in list
Stack
Queue
List
Link list
Application level
Abstract level
Implementation level
All of the above
Linked lists
Stacks
Queues
Deque
Dynamic programming
Greedy method
Divide and conquer
Backtracking
underflow
overflow
housefull
saturated
Last in first out
First in last out
Last in last out
First in first out
O(n)
O(log n)
O(n2)
O(n log n)
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
Arrays
Records
Pointers
None
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
grounded header list
circular header list
linked list with header and trailer nodes
none of above
O(n)
O(log n)
O(n2)
O(n log n)
3,4,5,2,1
3,4,5,1,2
5,4,3,1,2
1,5,2,3,4
Arrays
Linked lists
Both of above
None of above
O(n)
O(log n)
O(n2)
O(n log n)
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
Trees
Graphs
Arrays
None of above
Array
Stack
Tree
queue
Best case
Null case
Worst case
Average case
Counting the maximum memory needed by the algorithm
Counting the minimum memory needed by the algorithm
Counting the average memory needed by the algorithm
Counting the maximum disk space needed by the algorithm
Traversal
Search
Sort
None of above
Graph
Binary tree
Trees
Stack
Lists
Strings
Graph
Stacks
linear arrays
linked lists
both of above
none of above
Arrays
Records
Pointers
Stacks
Stacks
Dequeues
Queues
Binary search tree
tables arrays
matrix arrays
both of above
none of above
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
List
Stacks
Trees
Strings