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
A. Much more complicated to analyze than that of worst case
Tree
Graph
Priority
Dequeue
the name of array
the data type of array
the index set of the array
the first data from the set to be stored
underflow
overflow
housefull
saturated
Graphs
Binary tree
Stacks
Queues
elementary items
atoms
scalars
all of above
Graph
Binary tree
Trees
Stack
Stack
Input restricted dequeue
Priority queues
Output restricted qequeue
Array
Stack
Tree
queue
Counting microseconds
Counting the number of key operations
Counting the number of statements
Counting the kilobytes of algorithm
Sorting
Merging
Inserting
Traversal
Stacks linked list
Queue linked list
Both of them
Neither of them
array
lists
stacks
all of above
3,4,5,2,1
3,4,5,1,2
5,4,3,1,2
1,5,2,3,4
Operations
Algorithms
Storage Structures
None of above
FAEKCDBHG
FAEKCDHGB
EAFKHDCBG
FEAKDCHBG
Data
Operations
Both of the above
None of the above
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
O(n)
O(log )
O(n2)
O(n log n)
O(n)
O(log n)
O(n2)
O(n log n)
internal change
inter-module change
side effect
side-module update
Arrays
Linked lists
Both of above
None of above
11
12
13
14
O(n)
O(log n)
O(n2)
O(n log n)
tables arrays
matrix arrays
both of above
none of above
push, pop
insert, delete
pop, push
delete, insert
mn
max(m,n)
min(m,n)
m+n-1
List
Stacks
Trees
Strings
Application level
Abstract level
Implementation level
All of the 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