mn
max(m,n)
min(m,n)
m+n-1
D. m+n-1
Application level
Abstract level
Implementation level
All of the above
3,4,5,2,1
3,4,5,1,2
5,4,3,1,2
1,5,2,3,4
array
lists
stacks
all of above
Arrays are dense lists and static data structure
data elements in linked list need not be stored in adjacent space in memory
pointers store the next data element of a list
linked lists are collection of the nodes that contain information part and next pointer
Tree
Graph
Priority
Dequeue
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
Stack
Input restricted dequeue
Priority queues
Output restricted qequeue
Sorting
Merging
Inserting
Traversal
linear arrays
linked lists
both of above
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
Lists
Strings
Graph
Stacks
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
List
Stacks
Trees
Strings
Dynamic programming
Greedy method
Divide and conquer
Backtracking
Best case
Null case
Worst case
Average case
O(n)
O(log )
O(n2)
O(n log n)
Last in first out
First in last out
Last in last out
First in first out
Arrays
Records
Pointers
None
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
11
12
13
14
sorted linked list
sorted binary trees
sorted linear array
pointer array
O(n)
O(log n)
O(n2)
O(n log n)
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
AVL tree
Red-black tree
Lemma tree
None of the above
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
3 additions and 2 deletions
2 deletions and 3 additions
3 deletions and 4 additions
3 deletions and 3 additions
by this way computer can keep track only the address of the first element and the addresses of other elements can be calculated
the architecture of computer memory does not allow arrays to store other than serially
both of above
none of above
Trees
Graphs
Arrays
None of above
underflow
overflow
housefull
saturated