Naming convention for variable is followed in company because ____.
A. it enhances readability
B. it allows to work without conflicts
C. it enhances the efficiency
D. all of the above
The true and false values represent ____.
A. logical data
B. numeric data
C. character data
D. alphanumeric data
Following operator distinguishes equation from expression
A. +, -, *, /
B. < or >
C. Logical operators
D. Assignment Operator
Following are called logical operators
B. <, >, <=, >=
C. AND, OR, NOT
D. \, MOD
Evaluate 5*(x+y)-4*y/(z+6) where x = 2, y = 3, and z = 6
A. 1
B. 24
C. 5
D. 10
Evaluate a-2>b where a=6, b = 8
A. False
B. True
C. 6
D. 7
Evaluate for a = 5, b = 4, c = 3, d = 12 for the equation E = a*b+d/c
A. 40
C. 10
D. 10.66
Evaluate for the equation e = 5*a\d*(b+1) where a = 5, b = 4, c = 3, d = 12
A. 10
C. 0
The most important reason for including a destructor in a class is:
A. To print a message for debugging purposes
B. To store information about an object before it goes out of scope
C. To free up resources allocated by that class
D. To reset the original object's pointer to NULL
E. To make your TA happy
Which of the following name does not relate to stacks?
A. FIFO lists
B. LIFO list
C. Piles
D. Push-down lists
Which of the following data structure is linear type?
A. Strings
B. Lists
C. Queues
D. All of above
An algorithm that calls itself directly or indirectly is known as
A. Sub algorithm
B. Recursion
C. Polish notation
D. Traversal algorithm
The help menus or user manuals are the part of ____.
A. Program
B. Algorithm
C. Internal Documentation
D. External Documentation
The correctness and appropriateness of ___ solution can be checked very easily.
A. algorithmic solution
B. heuristic solution
C. random solution
D. none of these
Memorization is
A. To store previous results for future use
B. To avoid this unnecessary repetitions by writing down the results of recursive calls and looking them up again if we need them later
C. To make the process accurate
D. None of the above
The time complexity of linear search is _____.
A. O(1)
B. O(log(n))
C. O(n)
D. O(n log(n))
The time complexity of binary search is _____.
What is the asymptotic runtime for traversing all nodes in a binary search tree with n nodes and printing them in order?
A. O(n log(n))
B. O(n)
D. O(log(n))
E. O(n^2)
The number of nodes in a complete binary tree of height h is
A. 2^(h+1) - 1
B. 2*(h+1) - 1
C. 2*(h+1)
D. (h+1)^2 - 1
Divide-and-conquer as breaking the problem into a small number of
A. Pivot
B. Sieve
C. Smaller sub problems
D. Selection
The sub problems in Divide and Conquer are considered to be
A. Distinct
B. Overlapping
C. Large size
D. Small size
For the sieve technique we solve the problem,
A. recursively
B. mathematically
C. precisely
D. accurately
The sieve technique works in ____ as follows
A. phases
B. numbers
C. integers
D. routines
The sieve technique is a special case, where the number of sub problems is just
A. 5
B. many
C. 1
D. few
The reason for introducing Sieve Technique algorithm is that it illustrates a very important special case of,
A. divide-and-conquer
B. decrease and conquer
C. greedy nature
D. 2-dimension Maxima
Sieve Technique applies to problems where we are interested in finding a single item from a larger set of ____
A. n items
B. phases
C. pointers
D. constant
In Sieve Technique we do not know which item is of interest
For the Sieve Technique we take time
A. T(nk)
B. T(n / 3)
C. n^2
D. n/3
How many passes are required to sort a file of size n by bubble sort method?
A. N2
B. N
C. N-1
D. N/2
The worst-case time complexity of Bubble Sort is ____.
A. O(n2)
B. O(log n)
Which of the following sorting procedures is the slowest?
A. Quick sort
B. Heap sort
C. Shell sort
D. Bubble sort
For i = 1 to n-1 do --> For j = 1 to n-1-i do --> If (a[j+1] < a[j]) then swap a[j] and a[j+1]. Given code is for
A. Bubble sort
B. Insertion sort
C. Quick Sort
D. Selection Sort
How many number of comparisons are required in insertion sort to sort a file if the file is sorted in reverse order?
How many number of comparisons are required in insertion sort to sort a file if the file is already sorted?
Which of the following sorting methods would be most suitable for sorting a list which is almost sorted?
A. Bubble Sort
B. Insertion Sort
C. Selection Sort
D. Quick Sort
!!! Suppose we are sorting an array of eight integers using some quadratic sorting algorithm. After four iterations of the algorithm's main loop, the array elements are ordered as shown here: 2 4 5 7 8 1 3 6
A. Insertion sort
B. Selection sort
C. Either of a and b
The running time of insertion sort is
A. O(n^2)
C. O(log(n))
A sort which compares adjacent elements in a list and switches where necessary is ____.
A. insertion sort
B. heap sort
C. quick sort
D. bubble sort
A sort which iteratively passes through a list to exchange the first element with any element less than it and then repeats with a new first element is called
B. selection sort
C. heap sort
D. quick sort
The way a card game player arranges his cards as he picks them one by one can be compared to
B. Merge sort
C. Insertion sort
Which among the following is the best when the list is already sorted?
B. Bubble sort
C. Merge sort
D. Selection sort
As part of the maintenance work, you are entrusted with the work of rearranging the library books in a shelf in proper order, at the end of each day. The ideal choice will be
C. Selection sort
D. Merge sort
When is insertion sort a good choice for sorting an array?
A. Each component of the array requires a large amount of memory.
B. The processor speed is fast.
C. Each component of the array requires a small amount of memory.
D. The array has only a few items out of place.
Suppose we are sorting an array of ten integers using a some quadratic sorting algorithm. After four iterations of the algorithm's main loop, the array elements are ordered as shown here: 1 2 3 4 5 0 6 7 8 9. Which statement is correct? (Note: Our selection sort picks largest items first)
A. The algorithm might be either selection sort or insertion sort.
B. The algorithm is neither selection sort nor insertion sort.
C. The algorithm might be selection sort, but could not be insertion sort.
D. The algorithm might be insertion sort, but could not be selection sort.
A list of n strings, each of length n, is sorted into lexicographic order using the merge-sort algorithm. The worst case running time of this computation is
A. O (n log(n))
B. O (n^2 log(n))
C. O (n^2 + log(n))
D. O (n^2)
The worst-case time complexity of Merge Sort is ____.
Suppose we need to sort a list of employee records in ascending order, using the social security number (a 9-digit number) as the key (i.e., sort the records by social security number). If we need to guarantee that the running time will be no worse than n*log(n), which sorting methods could we use?
A. mergesort
B. quicksort
C. insertion sort
D. Either mergesort or quicksort
E. None of these sorting algorithms guarantee a worst-case performance of n log n or better
How much time merge sort takes for an array of numbers?
A. T(n^2)
B. T(n)
C. T(log n)
D. T(n log(n))
Merge sort makes two recursive calls. Which statement is true after these recursive calls finish, but before the merge step?
A. The array elements form a heap.
B. None of the above.
C. Elements in each half of the array are sorted amongst themselves.
D. Elements in the first half of the array are less than or equal to elements in the second half of the array.
What is the worst-case time for merge sort to sort an array of n elements?
A. O(n)
B. O(n log(n))
D. O(n)
In quick sort, the number of partitions into which the file of size n is divided by a selected record is
A. n
B. n - 1
C. 2
D. n/2
The worst-case time complexity of Quick Sort is ____.
The algorithm like Quick sort does not require extra memory for carrying out the sorting procedure. This technique is called ____.
A. in-place
B. stable
C. unstable
D. in-partition
The total number of comparisons made in quick sort for sorting a file of size n, is
B. O(n^2)
C. n(log(n))
Quick sort efficiency can be improved by adopting
A. non-recursive method
B. insertion method
C. tree search method
For the improvement of efficiency of quick sort the pivot can be
A. the first element
B. the mean element
C. the last element
Quick sort is the fastest available method of sorting because of
A. low over head
B. O(n log(n)) comparisons
C. low overhead and also O(n log(n)) comparisons
Quick sort is
A. Stable & in place
B. Not stable but in place
C. Stable but not in place
D. Some time stable & some times in place
One example of in place but not stable algorithm is
A. Merger Sort
B. Quick Sort
C. Continuation Sort
D. Bubble Sort
In Quick Sort Constants hidden in T(n log n) are
A. Large
B. Medium
C. Small
D. Not Known
The running time of quick sort depends heavily on the selection of
A. No of inputs
B. Arrangement of elements in array
C. Size o elements
D. Pivot elements
!!!!!! Here is an array which has just been partitioned by the first step of quick sort: 3, 0, 2, 1, 5, 4, 7, 9, 8. Which of these elements could be the pivot?
A. 2
B. 7
D. 5
Quick sort is solved using
A. Divide and conquer
B. Greedy Programming
C. Dynamic Programming
D. Branch and bound
The worst-case time complexity of Selection Exchange Sort is ____.
Straight selection sort is basically a method of repeated
A. interchange
B. searching
C. position adjustment
Number of selections required to sort a file of size N by straight selection requires
A. n-1
B. log(n)
C. O(n^2)
For sorting a file of size n by straight selection sort, the number of comparisons made in the first pass is
C. n(n - 1)/2
"" In the analysis of Selection algorithm, we eliminate a constant fraction of the array with each phase; we get the convergent ____ series in the analysis
A. linear
B. arithmetic
C. geometric
D. exponent
?? In the analysis of Selection algorithm, we make a number of passes, in fact it could be as many as,
A. T(n)
B. T(n/2)
C. log n
D. n/2 + n/4
?? Analysis of Selection algorithm ends up with
B. T(1/1 + n)
C. T(n/2)
D. T(n/2 + n)
The analysis of Selection algorithm shows the total running time is indeed ____ in n,
A. arithmetic
B. geometric
C. linear
D. orthogonal
How many elements do we eliminate in each time for the Analysis of Selection algorithm?
A. n/2 elements
B. n/2 + n elements
C. n/4 elements
D. 2n elements
In a selection sort of n elements, how many times is the swap function called in the complete execution of the algorithm?
B. n-1
C. n log(n)
D. n^2
Selection sort and quick sort both fall into the same category of sorting algorithms. What is this category?
A. Interchange sorts
B. Average time is quadratic.
C. O(n log n) sorts
D. Divide-and-conquer sorts
Slow sorting algorithms run in
C. T(log(n))
A sort technique is said to be stable when the original relative order of records with equal keys are retained after sorting.
The three factors contributing to the sort efficiency considerations are the efficiency in coding, machine run time and the space requirement for running the procedure.
The correct order of the efficiency of the following sorting algorithms according to their overall running time comparison is
A. Insertion > Selection > Bubble
B. Insertion > Bubble > Selection
C. Selection > Bubble > Insertion
D. Bubble > Selection > Insertion
In which order we can sort?
A. increasing order only
B. decreasing order only
C. increasing order or decreasing order
D. both at the same time
Which sorting algorithm is faster
C. O(n+k)
D. O(n^3)
Continuation sort is suitable to sort the elements in range 1 to k
A. K is Large
B. K is not known
C. K may be small or large
D. K is small
In stable sorting algorithm.
A. If duplicate elements remain in the same relative position after sorting
B. One array is used
C. More than one arrays are required
D. Duplicating elements not handled
Which may be a stable sort?
A. Merger
B. Insertion
C. Both above
An in place sorting algorithm is one that uses ___ arrays for storage
A. Two dimensional arrays
B. More than one array
C. No Additional Array
We do sorting to
A. keep elements in random positions
B. keep the algorithm run in linear order
C. keep the algorithm run in (log n) order
D. keep elements in increasing or decreasing order
Sorting is one of the few problems where provable ____ bonds exits on how fast we can sort
A. upper
B. lower
C. average
D. log n
In in-place sorting algorithm is one that uses arrays for storage
A. An additional array
B. No additioanal array
C. Both of above may be true according to algorithm
D. More than 3 arrays of one dimension
Which may be stable sort
C. Both of above
D. None of above
The operation of processing each element in the list is known as
A. sorting
B. merging
C. inserting
D. traversal
Other name for directed graph is
A. Direct graph
B. Digraph
C. Dir-graph
Binary trees with threads are called as
A. Threaded trees
B. Pointer trees
C. Special trees
D. Special pointer trees
Graph G is ____ if for any pair u, v of nodes in G there is a path from u to v or path from v to u.
A. Leterally connected
B. Widely Connected
C. Unliterally connected
D. Literally connected
In Binary trees nodes with no successor are called
A. End nodes
B. Terminal nodes
C. Final nodes
D. Last nodes
A connected graph T without any cycles is called
A. free graph
B. no cycle graph
C. non cycle graph
D. circular graph
Trees are said ____ if they are similar and have same contents at corresponding nodes.
A. Duplicate
B. Carbon copy
C. Replica
D. Copies
Every node N in a binary tree T except the root has a unique parent called the ____ of N.
A. Antecedents
B. Predecessor
C. Forerunner
D. Precursor
In a graph if E=(u,v) means
A. u is adjacent to v but v is not adjacent to u
B. e begins at u and ends at v
C. u is processor and v is successor
D. both b and c
Sequential representation of binary tree uses
A. Array with pointers
B. Single linear array
C. Two dimentional arrays
D. Three dimentional arrays
In a graph if e=[u,v], Then u and v are called
A. End points of e
B. Adjacent nodes
C. Neighbours
D. All of the above
TREE[1]=NULL indicates tree is
A. Overflow
B. Underflow
C. Empty
D. Full
A binary tree whose every node has either zero or two children is called
A. complete binary tree
B. binary search tree
C. extended binary tree
D. data structure
Linked representation of binary tree needs ____ parallel arrays.
A. 4
B. 2
C. 3
The depth of complete binary tree is given by
A. D(n) = n log(n)
B. D(n) = n log(n)+1
C. D(n) = log(n)
D. D(n) = log(n)+1
In a 2-tree, nodes with 0 children are called
A. Exterior node
B. Outside node
C. Outer node
D. External node
Which indicates pre-order traversal?
A. Left sub-tree, Right sub-tree and root
B. Right sub-tree, Left sub-tree and root
C. Root, Left sub-tree, Right sub-tree
D. Right sub-tree, root, Left sub-tree
In a extended-binary tree nodes with 2 children are called
A. Interior node
B. Domestic node
C. Internal node
D. Inner node
A terminal node in a binary tree is called
A. Root
B. Leaf
C. Child
D. Branch
The post order traversal of binary tree is DEBFCA. Find out the pre order traversal.
A. ABFCDE
B. ADBFEC
C. ABDECF
D. ABDCEF
While converting binary tree into extended binary tree, all the original nodes in binary tree are
A. Internal nodes on extended tree
B. External nodes on extended tree
C. Vanished on extended tree
D. Intermediate nodes on extended tree
The in-order traversal of tree will yield a sorted listing of elements of tree in
A. binary trees
B. binary search trees
C. heaps
D. binary heaps
In a binary tree, certain null entries are replaced by special pointers which point to nodes higher in the tree for efficiency. These special pointers are called
A. Leaf
B. Branch
C. Path
D. Thread
In a head tree
A. values in a node is greater than every value every value in left sub tree and smaller than right sub tree.
B. values in a node is greater than every value in children of it.
C. conditions.
D. terms.
The in order traversal of tree will yield a sorted listing of elements of tree in
A. Binary trees
B. Binary search trees
C. Merging
D. AVL Trees
In a graph if e=(u,v) means
A. u is adjacent to v but v is not adjacent to u.
C. u is node and v is an edge.
D. both u and v are edges.
A. Complete binary tree
B. Binary Search tree
C. Extended binary tree
D. E2 tree
If every node u in G is adjacent to every other node v in G,A graph is said to be
A. isolated
B. complete
C. finite
D. strongly connected
The post order traversal of a binary tree is DEBFCA. Find out the pre order Traversal.
In a graph if e=[u,v], then u and v are called
A. endpoints of e
B. adjacent nodes
C. neighbours
In-order traversing a tree resulted E A C K F H D B G; the pre-order traversal would return.
A. FAEKCDBHG
B. FAEKCDHGB
C. EAFKHDCBG
D. FEAKDCHBG
In linked representation of Binary trees LEFT[k] contains the ____ of at the node N, where k is the location.
A. Data
B. Location and left child
C. Right child address
D. Null value
If every node u in G adjacent to every other node v in G, A graph is said to be
Three standards ways of traversing a binary tree T with root R
A. Prefix, infix, postfix
B. Pre-process, in-process, post-process
C. Pre-traversal, in-traversal, post-traversal
D. Pre-order, in-order, post-order
A graph is said to be ____ if every node u in G is adjacent to every other node v in G.
A. Absolute
B. Entire
C. Inclusive
D. Complete
In threaded binary tree ____ points to higher nodes in tree.
A. Info
B. Root
C. Threads
D. Child
A graph is said to be ____ if its edges are assigned data.
A. Tagged
B. Marked
C. Weighted
D. Sticked
If node N is a terminal node in a binary tree then its
A. Right tree is empty
B. Left tree is empty
C. Both left & right sub trees are empty
D. Root node is empty
A directed graph is ____ if there is a path from each vertex to every other vertex in the digraph.
A. Weakly connected
B. Strongly Connected
C. Tightly Connected
D. Linearly Connected
In the ____ traversal we process all of a vertex's descendants before we move to an adjacent vertex.
A. Depth First
B. Breadth First
C. With First
D. Depth Limited
State True of False. (I) Network is a graph that has weights or costs associated with it. (II) An undirected graph which contains no cycles is called a forest. (III) A graph is said to be complete if there is no edge between every pair of vertices.
A. True, False, True
B. True, True, False
C. True, True, True
D. False, True, True
The number of comparisons done by sequential search is
A. (N/2)+1
B. (N+1)/2
C. (N-1)/2
D. (N+2)/2
In ____, search start at the beginning of the list and check every element in the list.
A. Linear search
B. Binary search
C. Hash Search
D. Binary Tree search
State True or False. (I) Binary search is used for searching in a sorted array. (II) The time complexity of binary search is O(logn).
A. True, False
B. False, True
C. False, False
D. True, True
Which of the following is not the internal sort?
A. Insertion Sort
B. Bubble Sort
C. Merge Sort
D. Heap Sort
State True or False. (I) An undirected graph which contains no cycles is called forest. (II) A graph is said to be complete if there is an edge between every pair of vertices.
A. True, True
D. True, False
A graph is said to be ____ if the vertices can be split into two sets V1 and V2 such there are no edges between two vertices of V1 or two vertices of V2.
A. Partite
B. Bipartite
C. Rooted
D. Bisects
In a queue, the initial values of front pointer f rare pointer r should be ____ and ____ respectively.
A. 0 and 1
B. 0 and -1
C. -1 and 0
D. 1 and 0
In a circular queue the value of r will be
A. r=r+1
B. r=(r+1)% [QUEUE_SIZE - 1]
C. r=(r+1)% QUEUE_SIZE
D. r=(r-1)% QUEUE_SIZE
Which of the following statement is true? (I) Using singly linked lists and circular list, it is not possible to traverse the list backwards. (II) To find the predecessor, it is required to traverse the list from the first node in case of singly linked list.
A. I-only
B. II-only
C. Both I and II
D. None of both
The advantage of ____ is that they solve the problem if sequential storage representation. But disadvantage in that is they are sequential lists.
A. Lists
B. Linked Lists
C. Trees
D. Queues
What will be the value of top, if there is a size of stack STACK_SIZE is 5
B. 6
C. 4
D. None
____ is not the operation that can be performed on queue.
A. Insertion
B. Deletion
C. Retrieval
D. Traversal
There is an extra element at the head of the list called a
A. Antinel
B. Sentinel
C. List header
D. List head
A graph is a collection of nodes, called ____ And line segments called arcs or ____ that connect pair of nodes.
A. vertices, edges
B. edges, vertices
C. vertices, paths
D. graph node, edges
A ____ is a graph that has weights of costs associated with its edges.
A. Network
B. Weighted graph
C. Both A and B
D. None A and B
In general, the binary search method needs no more than ____ comparisons.
A. [log2n]-1
B. [logn]+1
C. [log2n]
D. [log2n]+1
In depth first search algorithm the number of recursive calls we have to make are
B. 1
D. depends on the graph
Heap is defined to be a
B. binary tree
C. tree structure
In a Max heap the largest key is at
A. the root
B. a leaf
C. a node
In heap sort the input is arranged in the form of a
A. heap
B. tree
C. queue
Heap sort is found to be very efficient
A. with regard to storage requirement
B. in time consumption
C. regarding overheads involved
For the heap sort, access to nodes involves simple ____ operations
B. binary
C. algebraic
D. logarithmic
A (an) ____ is a left-complete binary tree that conforms to the heap order
C. binary search tree
D. array
For the heap sort we store the tree nodes in
A. level-order traversal
B. in-order traversal
C. pre-order traversal
D. post-order traversal
One of the clever aspects of heaps is that they can be stored in arrays without using any ____.
A. pointers
B. constants
C. variables
D. functions
Assuming that the hash function for a table works well, and the size of the hash table is reasonably large compared to the number of items in the table, the expected (average) time needed to find an item in a hash table containing n items is
C. O(n log(n))
The six-step solution for the problem can be applied to problems (I) with Algorithmic solution or (II) with Heuristic solution
A. Only I
B. Only II
D. Neither I nor II
____ solution requires reasoning built on knowledge and experience
A. Algorithmic Solution
B. Heuristic Solution
C. Random Solution
D. None of these
The branch of computer that deals with heuristic types of problem is called ____.
A. system software
B. real time software
C. artificial intelligence
___ is the first step in solving the problem
A. Understanding the Problem
B. Identify the Problem
C. Evaluate the Solution
___ is the last step in solving the problem
Following is true for understanding of a problem
A. Knowing the knowledgebase
B. Understanding the subject on which the problem is based
C. Communication with the client
While solving the problem with computer the most difficult step is ____.
A. describing the problem
B. finding out the cost of the software
C. writing the computer instructions
D. testing the solution
The main measure for efficiency algorithm are ____.
A. Processor and Memory
B. Size and Capacity
C. Data and Space
D. Time and Space
What does the algorithmic analysis count?
A. The number of arithmetic and the operations that are required to run the program
B. The number of lines required by the program
C. The number of seconds required by the program to execute
!!! Examples of O(1) algorithms are ____.
A. Multiplying two numbers
B. Assigning some value to a variable
C. Displaying some integer on console
Examples of O(n^2) algorithms are ____.
A. Adding of two Matrices
B. Initializing all elements of matrix by zero
D. Neither A nor B
The complexity of three algorithms is given as: O(n), O(n^2) and O(n^3). Which should execute slowest for large value of n?
C. O(n^3)
D. All will execute in same time.
There are four algorithms A1, A2, A3, A4 to solve the given problem with the order log(n), nlog(n), log(log(n)), n/log(n). Which is the best algorithm?
A. A1: log(n)
B. A2: n log(n)
C. A3: log(log(n))
D. A4: n/log(n)
Express the formula (n-1)*(n-5) in terms of big-Oh notation
D. O(n^2)
Which of the following case does not exist in complexity theory?
A. Best case
B. Worst case
C. Average case
D. Null case
The concept of order Big-Oh is important because
A. It can be used to decide the best algorithm that solves a given problem
B. It determines the maximum size of a problem that can be solved in a given amount of time
C. It is the lower bound of the growth rate of algorithm
D. Both A and B
The recurrence relation capturing the optimal execution time of the Towers of Hanoi problem with n discs is
A. T(n) = 2T(n - 2) + 2
B. T(n) = 2T(n - 1) + n
C. T(n) = 2T(n/2) + 1
D. T(n) = 2T(n - 1) + 1
The space factor when determining the efficiency of algorithm is measured by
A. Counting the maximum memory needed by the algorithm
B. Counting the minimum memory needed by the algorithm
C. Counting the average memory needed by the algorithm
D. Counting the maximum disk space needed by the algorithm
The time factor when determining the efficiency of algorithm is measured by
A. Counting microseconds
B. Counting the number of key operations
C. Counting the number of statements
D. Counting the kilobytes of algorithm
A large department store has its own charge card. The policy for a customer to charge an item is that the customer must have a valid charge card and either a balance of less than Rs.500 or a charge of less than Rs.50.
A. ChargeCard AND (Balance < 500 OR Amount < 50)
B. ChargeCard OR (Balance < 500 AND Amount < 50)
C. ChargeCard OR (Balance < 500 OR Amount < 50)
D. ChargeCard AND (Balance < 500 AND Amount < 50)
If Total complexity after analysis is (5n^3 + 10n^2 + 100n + 400log(n) + 10), the Big-Oh complexity is
B. O(n^3)
D. O(n^2 log(n))
In Strassen's Multiplication Algorithm the T(n) is
A. 7T(n) + bn^2
B. 7T(n/2) + bn^2
C. 8T(n/2) + bn^2
D. 7T(n/2) + bn
T(n) = 4T(n/2) + n, then in Big Oh Notation it is
A. O (n2)
B. O(4)
In T(n) = a * T(n/b) + f(n), "a" refers to
A. Size of sub problem
B. Number of sub problems
C. Size of the problem
D. Time to combine solutions
O(f(n)) minus O(f(n)) is equal to
A. Zero
B. A constant
C. f(n)
D. O(f(n))