O(n)
O(log )
O(n2)
O(n log n)
B. O(log )
mn
max(m,n)
min(m,n)
m+n-1
Last in first out
First in last out
Last in last out
First in first out
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
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
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
Much more complicated to analyze than that of worst case
Much more simpler to analyze than that of worst case
Sometimes more complicated and some other times simpler than that of worst case
None or above
the name of array
the data type of array
the index set of the array
the first data from the set to be stored
True, False
False, True
True, True
False, False
Operations
Algorithms
Storage Structures
None of above
Trees
Graphs
Arrays
None of above
Abstract level
Implementation level
Application level
All of the above
3 additions and 2 deletions
2 deletions and 3 additions
3 deletions and 4 additions
3 deletions and 3 additions
O(n)
O(log n)
O(n2)
O(n log n)
Arrays
Records
Pointers
Stacks
O(n)
O(log )
O(n2)
O(n log n)
Graphs
Binary tree
Stacks
Queues
16
12
6
10
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
Processor and memory
Complexity and capacity
Time and space
Data and space
underflow
overflow
housefull
saturated
floor address
foundation address
first address
base address
Binary search
Insertion sort
Radix sort
Polynomial manipulation
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.
Arrays
Records
Pointers
None
O(n)
O(log n)
O(n2)
O(n log n)
tables arrays
matrix arrays
both of above
none of above
Stack
Input restricted dequeue
Priority queues
Output restricted qequeue
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
FIFO lists
LIFO list
Piles
Push-down lists
Array
Stack
Tree
queue