Consider f(N) = g(N) + h(N) Where function g is a measure of the cost of getting from the start node to the current node N and h is an estimate of additional cost of getting from the current node N to the goal node. Then f(N) = h(N) is used in which one of the following algorithms ? (A) A* algorithm (B) AO* algorithm (C) Greedy best first search algorithm (D) Iterative A* algorithm

Consider f(N) = g(N) + h(N) Where function g is a measure of the cost of getting from the start node to the current node N and h is an estimate of additional cost of getting from the current node N to the goal node. Then f(N) = h(N) is used in which one of the following algorithms ? (A) A* algorithm (B) AO* algorithm (C) Greedy best first search algorithm (D) Iterative A* algorithm
by

1 Answer

Answer :

(C) Greedy best first search algorithm
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Related questions

If h* represents an estimate of the cost of getting from the current node N to the goal node and h represents actual cost of getting from current node to the goal node, then A* algorithm gives an optimal solution if (A) h* us equal to h (B) h* overestimates h (C) h* underestimates h (D) none of these

Description : If h* represents an estimate of the cost of getting from the current node N to the goal node and h represents actual cost of getting from current node to the goal node, then A* algorithm gives an optimal solution ... h* us equal to h (B) h* overestimates h (C) h* underestimates h (D) none of these

Last Answer : (C) h* underestimates h

General algorithm applied on game tree for making decision of win/lose is ____________ a) DFS/BFS Search Algorithms b) Heuristic Search Algorithms c) Greedy Search Algorithms d) MIN/MAX Algorithms

Description : General algorithm applied on game tree for making decision of win/lose is ____________ a) DFS/BFS Search Algorithms b) Heuristic Search Algorithms c) Greedy Search Algorithms d) MIN/MAX Algorithms

Last Answer : d) MIN/MAX Algorithms

Greedy search strategy chooses the node for expansion in ___________ a) Shallowest b) Deepest c) The one closest to the goal node d) Minimum heuristic cost

Description : Greedy search strategy chooses the node for expansion in ___________ a) Shallowest b) Deepest c) The one closest to the goal node d) Minimum heuristic cost

Last Answer : c) The one closest to the goal node

Which search method will expand the node that is closest to the goal? a) Best-first search b) Greedy best-first search c) A* search d) None of the mentioned

Description : Which search method will expand the node that is closest to the goal? a) Best-first search b) Greedy best-first search c) A* search d) None of the mentioned

Last Answer : b) Greedy best-first search

What is the evaluation function in greedy approach? a) Heuristic function b) Path cost from start node to current node c) Path cost from start node to current node + Heuristic cost d) Average of Path cost from start node to current node and Heuristic cost

Description : What is the evaluation function in greedy approach? a) Heuristic function b) Path cost from start node to current node c) Path cost from start node to current node + Heuristic cost d) Average of Path cost from start node to current node and Heuristic cost

Last Answer : a) Heuristic function

What is the evaluation function in greedy approach? A : Heuristic function B : Path cost from start node to current node C : Path cost from start node to current node + Heuristic cost D : Average of Path cost from start node to current node and Heuristic cost

Description : What is the evaluation function in greedy approach? A : Heuristic function B : Path cost from start node to current node C : Path cost from start node to current node + Heuristic cost D : Average of Path cost from start node to current node and Heuristic cost

Last Answer : A : Heuristic function

What is the evaluation function in greedy approach? A : Heuristic function B : Path cost from start node to current node C : Path cost from start node to current node + Heuristic cost D : Average of Path cost from start node to current node and Heuristic cost

Description : What is the evaluation function in greedy approach? A : Heuristic function B : Path cost from start node to current node C : Path cost from start node to current node + Heuristic cost D : Average of Path cost from start node to current node and Heuristic cost

Last Answer : A : Heuristic function

Constraint satisfaction problems on finite domains are typically solved using a form of ___________ a) Search Algorithms b) Heuristic Search Algorithms c) Greedy Search Algorithms d) All of the mentioned

Description : Constraint satisfaction problems on finite domains are typically solved using a form of ___________ a) Search Algorithms b) Heuristic Search Algorithms c) Greedy Search Algorithms d) All of the mentioned

Last Answer : d) All of the mentioned

Which of the following algorithm design technique is used in the quick sort algorithm? a) Dynamic programming b) Backtracking c) Divide-and-conquer d) Greedy method

Description : Which of the following algorithm design technique is used in the quick sort algorithm? a) Dynamic programming b) Backtracking c) Divide-and-conquer d) Greedy method

Last Answer : Which of the following algorithm design technique is used in the quick sort algorithm? a) Dynamic programming b) Backtracking c) Divide-and-conquer d) Greedy method

Dijkstra’s algorithm is based on (1) Divide and conquer paradigm (2) Dynamic Programming (3) Greedy Approach (4) Backtracking paradigm

Description : Dijkstra’s algorithm is based on (1) Divide and conquer paradigm (2) Dynamic Programming (3) Greedy Approach (4) Backtracking paradigm

Last Answer : 3

Which function will select the lowest expansion node at first for evaluation? a) Greedy best-first search b) Best-first search c) Depth-first search d) None of the mentioned

Description : Which function will select the lowest expansion node at first for evaluation? a) Greedy best-first search b) Best-first search c) Depth-first search d) None of the mentioned

Last Answer : b) Best-first search

ABCD is a parallelogram. The diagonals AC and BD intersect at the point O. If E, F, G and H are the mid-points of AO, DO, CO and BO respectively -Maths 9th

Description : ABCD is a parallelogram. The diagonals AC and BD intersect at the point O. If E, F, G and H are the mid-points of AO, DO, CO and BO respectively -Maths 9th

Last Answer : answer:

Heuristic function h(n) is ________ a) Lowest path cost b) Cheapest path from root to goal node c) Estimated cost of cheapest path from root to goal node d) Average path cost

Description : Heuristic function h(n) is ________ a) Lowest path cost b) Cheapest path from root to goal node c) Estimated cost of cheapest path from root to goal node d) Average path cost

Last Answer : c) Estimated cost of cheapest path from root to goal node

The map colouring problem can be solved using which of the following technique? (A) Means-end analysis (B) Constraint satisfaction (C) AO* search (D) Breadth first search

Description : The map colouring problem can be solved using which of the following technique? (A) Means-end analysis (B) Constraint satisfaction (C) AO* search (D) Breadth first search

Last Answer : (B) Constraint satisfaction

Which search algorithm imposes a fixed depth limit on nodes? a) Depth-limited search b) Depth-first search c) Iterative deepening search d) Bidirectional search

Description : Which search algorithm imposes a fixed depth limit on nodes? a) Depth-limited search b) Depth-first search c) Iterative deepening search d) Bidirectional search

Last Answer : a) Depth-limited search

Which of the following statements is not true about disk-arm scheduling algorithms ? (A) SSTF (shortest seek time first) algorithm increases performance of FCFS. (B) The number of requests for disk service are not influenced by file allocation method. (C) Caching the directories and index blocks in main memory can also help in reducing disk arm movements. (D) SCAN and C-SCAN algorithms are less likely to have a starvation problem.

Description : Which of the following statements is not true about disk-arm scheduling algorithms ? (A) SSTF (shortest seek time first) algorithm increases performance of FCFS. (B) The number of requests for disk ... arm movements. (D) SCAN and C-SCAN algorithms are less likely to have a starvation problem.

Last Answer : (B) The number of requests for disk service are not influenced by file allocation method.

Which of the following algorithms is not a broadcast routing algorithm ? (A) Flooding (B) Multidestination routing (C) Reverse path forwarding (D) All of the above

Description : Which of the following algorithms is not a broadcast routing algorithm ? (A) Flooding (B) Multidestination routing (C) Reverse path forwarding (D) All of the above

Last Answer : (D) All of the above

In the following graph, discovery time stamps and finishing time stamps of Depth First Search (DFS) are shown as x/y where x is discovery time stamp and y is finishing time stamp. Image It shows which of the following depth first forest? (A) {a,b,e} {c,d,f,g,h} (B) {a,b,e} {c,d,h} {f,g} (C) {a,b,e} {f,g} {c,d} {h} (D) {a,b,c,d} {e,f,g} {h}

Description : In the following graph, discovery time stamps and finishing time stamps of Depth First Search (DFS) are shown as x/y where x is discovery time stamp and y is finishing time stamp.  It shows which of the following depth first forest? (A ... {a,b,e} {f,g} {c,d} {h} (D) {a,b,c,d} {e,f,g} {h}

Last Answer : Answer: A

Consider the following statements: (a) Depth - first search is used to traverse a rooted tree. (b) Pre - order, Post-order and Inorder are used to list the vertices of an ordered rooted tree. (c) Huffman's algorithm is used to find an optimal binary tree with given weights. (d) Topological sorting provides a labelling such that the parents have larger labels than their children. Which of the above statements are true ? (A) (a) and (b) (B) (c) and (d) (C) (a) , (b) and (c) (D) (a), (b) , (c) and (d)

Description : Consider the following statements: (a) Depth - first search is used to traverse a rooted tree. (b) Pre - order, Post-order and Inorder are used to list the vertices of an ordered rooted tree. (c) Huffman's algorithm is used to find an optimal ... (d) (C) (a) , (b) and (c) (D) (a), (b) , (c) and (d)

Last Answer : (D) (a), (b) , (c) and (d)

Consider the following binary search tree: Image If we remove the root node, which of the node from the left subtree will be the new root? (A) 11 (B) 12 (C) 13 (D) 16

Description : Consider the following binary search tree: If we remove the root node, which of the node from the left subtree will be the new root? (A) 11 (B) 12 (C) 13 (D) 16

Last Answer : (D) 16

Distinguish between A* and AO* algorithms?

Description : Distinguish between A* and AO* algorithms?

Last Answer : Ans:- A* algorithm:-  A* uses a best-first search and finds the least-cost path from a given initial node to one goal node (out of one or more possible goals).  It uses a distance-plus- ... node as SOLVED.  If starting node is SOLVED or value greater than FUTILITY, stop, else repeat from 2.

Let R be the rectangular window against which the lines are to be clipped using 2D Sutherland-Cohen line clipping algorithm. The rectangular window has lower left-hand corner at (-5,1) and upper righthand corner at (3,7). Consider the following three lines for clipping with the given end point co-ordinates: Line AB: A(-6,2) and B(-1,8) Line CD: C(-1,5) and D(4,8) Line EF: E(-2,3) and F(1,2) Which of the following line(s) is/are candidate for clipping? (A) AB (B) CD (C) EF (D) AB and CD

Description : Let R be the rectangular window against which the lines are to be clipped using 2D Sutherland-Cohen line clipping algorithm. The rectangular window has lower left-hand corner at (-5,1) and upper righthand corner at (3,7). ... s) is/are candidate for clipping? (A) AB (B) CD (C) EF (D) AB and CD

Last Answer : (D) AB and CD

A heuristic is a way of trying ___________ a) To discover something or an idea embedded in a program b) To search and measure how far a node in a search tree seems to be from a goal c) To compare two nodes in a search tree to see if one is better than another d) All of the mentioned

Description : A heuristic is a way of trying ___________ a) To discover something or an idea embedded in a program b) To search and measure how far a node in a search tree seems to be from a goal c) To compare two nodes in a search tree to see if one is better than another d) All of the mentioned

Last Answer : d) All of the mentioned

A heuristic is a way of trying __________ a) To discover something or an idea embedded in a program b) To search and measure how far a node in a search tree seems to be from a goal c) To compare two nodes in a search tree to see if one is better than the other is d) All of the mentioned

Description : A heuristic is a way of trying __________ a) To discover something or an idea embedded in a program b) To search and measure how far a node in a search tree seems to be from a goal c) To compare two nodes in a search tree to see if one is better than the other is d) All of the mentioned

Last Answer : d) All of the mentioned

A heuristic is a way of trying (A) To discover something or an idea embedded in a program (B) To search and measure how far a node in a search tree seems to be from a goal (C) To compare two nodes in a search tree to see if one is better than the other (D) Only (a), (b) and (c).

Description : A heuristic is a way of trying (A) To discover something or an idea embedded in a program (B) To search and measure how far a node in a search tree seems to be from a goal (C) To compare two nodes in a search tree to see if one is better than the other (D) Only (a), (b) and (c).

Last Answer : (D) Only (a), (b) and (c).

Consider a disk queue with request for input/output to block on cylinders 98, 183, 37, 122, 14, 124, 65, 67 in that order. Assume that disk head is initially positioned at cylinder 53 and moving towards cylinder number 0. The total number of head movements using Shortest Seek Time First (SSTF) and SCAN algorithms are respectively (A) 236 and 252 cylinders (B) 640 and 236 cylinders (C) 235 and 640 cylinders (D) 235 and 252 cylinders

Description : Consider a disk queue with request for input/output to block on cylinders  98, 183, 37, 122, 14, 124, 65, 67  in that order. Assume that disk head is initially positioned at cylinder 53 and moving ... and 252 cylinders (B) 640 and 236 cylinders (C) 235 and 640 cylinders (D) 235 and 252 cylinders

Last Answer : Answer: 236 and 208 cylinders Explanation: SSTF Initial head position =53 The closest queue to initial head position=65 head moves from 53 to 65=12 head moves from 65 to 67=2 head moves from 67 ... 122=24 head moves from 122 to 124=2 head moves from 124 to 183=59 Total head movement=208 

Consider a program that consists of 8 pages (from 0 to 7) and we have 4 page frames in the physical memory for the pages. The page reference string is : 1 2 3 2 5 6 3 4 6 3 7 3 1 5 3 6 3 4 2 4 3 4 5 1 The number of page faults in LRU and optimal page replacement algorithms are respectively (without including initial page faults to fill available page frames with pages): (A) 9 and 6 (B) 10 and 7 (C) 9 and 7 (D) 10 and 6

Description : Consider a program that consists of 8 pages (from 0 to 7) and we have 4 page frames in the physical memory for the pages. The page reference string is :  1 2 3 2 5 6 3 4 6 3 7 3 1 5 3 6 3 4 2 4 3 4 5 ... to fill available page frames with pages): (A) 9 and 6 (B) 10 and 7 (C) 9 and 7 (D) 10 and 6

Last Answer : (B) 10 and 7

_____________ algorithms is used to extract the plan directly from the planning graph, rather than using graph to provide heuristic. a) BFS/DFS b) A* c) Graph-Plan d) Greedy

Description : _____________ algorithms is used to extract the plan directly from the planning graph, rather than using graph to provide heuristic. a) BFS/DFS b) A* c) Graph-Plan d) Greedy

Last Answer : c) Graph-Plan

The main idea of Bidirectional search is to reduce the time complexity by searching two way simultaneously from start node and another from goal node. a) True b) False

Description : The main idea of Bidirectional search is to reduce the time complexity by searching two way simultaneously from start node and another from goal node. a) True b) False

Last Answer : a) True

Which of the following algorithms sort n integers, having the range 0 to (n2 -1), in ascending order in O(n) time ? (A) Selection sort (B) Bubble sort (C) Radix sort (D) Insertion sort

Description : Which of the following algorithms sort n integers, having the range 0 to (n2 -1), in ascending order in O(n) time ? (A) Selection sort (B) Bubble sort (C) Radix sort (D) Insertion sort

Last Answer : (C) Radix sort

Consider three CPU intensive processes P1, P2, P3 which require 20, 10 and 30 units of time, arrive at times 1, 3 and 7 respectively. Suppose operating system is implementing Shortest Remaining Time first (preemptive scheduling) algorithm, then .............. context switches are required (suppose context switch at the beginning of Ready queue and at the end of Ready queue are not counted). (A) 3 (B) 2 (C) 4 (D) 5

Description : Consider three CPU intensive processes P1, P2, P3 which require 20, 10 and 30 units of time, arrive at times 1, 3 and 7 respectively. Suppose operating system is implementing Shortest Remaining Time first (preemptive scheduling) ... end of Ready queue are not counted). (A) 3 (B) 2 (C) 4 (D) 5

Last Answer : (A) 3

The name “best-first search” is a venerable but inaccurate one. After all, if we could really expand the best node first, it would not be a search at all; it would be a straight march to the goal. All we can do is choose the node that appears to be best according to the evaluation function. a) True b) False

Description : The name best-first search is a venerable but inaccurate one. After all, if we could really expand the best node first, it would not be a search at all; it would be a straight march to the ... is choose the node that appears to be best according to the evaluation function. a) True b) False

Last Answer : a) True

Consider the reference string 0 1 2 3 0 1 4 0 1 2 3 4 If FIFO page replacement algorithm is used, then the number of page faults with three page frames and four page frames are .......... and ........... respectively. (A) 10, 9 (B) 9, 9 (C) 10, 10 (D) 9, 10

Description : Consider the reference string 0 1 2 3 0 1 4 0 1 2 3 4 If FIFO page replacement algorithm is used, then the number of page faults with three page frames and four page frames are .......... and ........... respectively. (A) 10, 9 (B) 9, 9 (C) 10, 10 (D) 9, 10

Last Answer : (D) 9, 10

Which of the following is not a software process model? (A) Prototyping (B) Iterative (C) Timeboxing (D) Glassboxing

Description : Which of the following is not a software process model? (A) Prototyping (B) Iterative (C) Timeboxing (D) Glassboxing

Last Answer : (D) Glassboxing

The quick design of a software that is visible to end users leads to ............ (A) iterative model (B) prototype model (C) spiral model (D) waterfall model

Description : The quick design of a software that is visible to end users leads to ............ (A) iterative model (B) prototype model (C) spiral model (D) waterfall model 

Last Answer : (B) prototype model

66. Which method is an iterative procedure for solving LPP in a finite number of steps? a. Simplex algorithm b. Slack variablec. Big M method d. Simplex method

Description : 66. Which method is an iterative procedure for solving LPP in a finite number of steps? a. Simplex algorithm b. Slack variable c. Big M method d. Simplex method

Last Answer : d. Simplex method

A project activity has several components as indicated below; S. No. Activity Preceded by Duration (in Weeks) 1 A - 8 2 B A 6 3 C A 12 4 D B 4 5 E D 5 6 F B 12 7 G E& F 9 8 H C 8 9 I F & H 5 10 J I & G 6 d. Prepare a PERT chart, estimate the duration of the project and identify the critical path.

Description : A project activity has several components as indicated below; S.  No. Activity Preceded by Duration (in  Weeks) 1 A - 8 2 B A 6 3 C A 12 4 D B 4 5 E D 5 6 F B 12 7 G E& F ... H 5 10 J I & G 6 d. Prepare a PERT chart, estimate the duration of the project and identify the  critical path.

Last Answer : PERT Diagram based on Activity on Arrow  .  E  D 5 G B 5 9 J, 6 A 6 F,12 I ,5 8 c 12 H 8 OR  PERT Diagram based on Activity on Node …………………….6 marks a. Critical Path: A-B-F-G-J …………………….1 mark  b. Estimated Project Duration: 41 weeks

Given the symbols A, B, C, D, E, F, G and H with the probabilities 1/30, 1/30, 1/30, 2/30, 3/30, 5/30, 5/30 and 12/30 respectively. The average Huffman code size in bits per symbol is: (A) 67/30 (B) 70/34 (C) 76/30 (D) 78/30

Description : Given the symbols A, B, C, D, E, F, G and H with the probabilities 1/30, 1/30, 1/30, 2/30, 3/30, 5/30, 5/30 and 12/30 respectively. The average Huffman code size in bits per symbol is: (A) 67/30 (B) 70/34 (C) 76/30 (D) 78/30

Last Answer : (C) 76/30

The number of disk pages access in B-tree search, where h is height, n is the number of keys, and t is the minimum degree, is: (A) θ(logn h*t) (B) θ(logt n*h) (C) θ(logh n) (D) θ(logt n)

Description : The number of disk pages access in B-tree search, where h is height, n is the number of keys, and t is the minimum degree, is: (A) θ(logn h*t) (B) θ(logt n*h) (C) θ(logh n) (D) θ(logt n)

Last Answer : Answer: D

Consider a system with seven processes A through G and six resources R through W. Resource ownership is as follows: process A holds R and wants T process B holds nothing but wants T process C holds nothing but wants S process D holds U and wants S & T process E holds T and wants V process F holds W and wants S process G holds V and wants U Is the system deadlocked ? If yes, ............. processes are deadlocked. (A) No (B) Yes, A, B, C (C) Yes, D, E, G (D) Yes, A, B, F

Description : Consider a system with seven processes A through G and six resources R through W. Resource ownership is as follows: process A holds R and wants T process B holds nothing but wants T process C holds nothing but wants S process D holds U ... No (B) Yes, A, B, C (C) Yes, D, E, G (D) Yes, A, B, F

Last Answer : (C) Yes, D, E, G

The order of a leaf node in a B+ tree is the maximum number of children it can have. Suppose that block size is 1 kilobytes, the child pointer takes 7 bytes long and search field value takes 14 bytes long. The order of the leaf node is ............ (1) 16 (2) 63 (3) 64 (4) 65

Description : The order of a leaf node in a B+ tree is the maximum number of children it can have. Suppose that block size is 1 kilobytes, the child pointer takes 7 bytes long and search field value takes 14 bytes long. The order of the leaf node is ............ (1) 16 (2) 63 (3) 64 (4) 65

Last Answer : Answer: All

The average case occurs in the Linear Search Algorithm when: (A) The item to be searched is in some where middle of the Array (B) The item to be searched is not in the array (C) The item to be searched is in the last of the array (D) The item to be searched is either in the last or not in the array

Description : The average case occurs in the Linear Search Algorithm when: (A) The item to be searched is in some where middle of the Array (B) The item to be searched is not in the array (C) The item to be searched is in the last of the array (D) The item to be searched is either in the last or not in the array

Last Answer : (A) The item to be searched is in some where middle of the Array

For a B-tree of height h and degree t, the total CPU time used to insert a node is (A) O(h log t) (B) O(t log h) (C) O(t2h) (D) O(th)

Description : For a B-tree of height h and degree t, the total CPU time used to insert a node is (A) O(h log t) (B) O(t log h) (C) O(t2h) (D) O(th)

Last Answer : (D) O(th)

Consider an implementation of unsorted single linked list. Suppose it has its representation with a head and a tail pointer (i.e. pointers to the first and last nodes of the linked list). Given the representation, which of the following operation cannot be implemented in O(1) time ? (A) Insertion at the front of the linked list. (B) Insertion at the end of the linked list. (C) Deletion of the front node of the linked list. (D) Deletion of the last node of the linked list.

Description : Consider an implementation of unsorted single linked list. Suppose it has its representation with a head and a tail pointer (i.e. pointers to the first and last nodes of the linked list). Given the ... the front node of the linked list. (D) Deletion of the last node of the linked list.

Last Answer : (D) Deletion of the last node of the linked list. 

Which one of the following is true? (A) The resolvent of two Horn clauses is not a Horn clause. (B) The resolvent of two Horn clauses is a Horn Clause. (C) If we resolve a negated goal G against a fact or rule A to get Clause C then C has positive literal and non null-goal. (D) If we resolve a negated goal G against a fact or rule A to get clause C then C has positive literal or null goal.

Description : Which one of the following is true? (A) The resolvent of two Horn clauses is not a Horn clause. (B) The resolvent of two Horn clauses is a Horn Clause. (C) If we resolve a negated goal G against a ... negated goal G against a fact or rule A to get clause C then C has positive literal or null goal. 

Last Answer : (B) The resolvent of two Horn clauses is a Horn Clause.

Consider a line AB with A = (0,0) and B = (8, 4). Apply a simple DDA algorithm and compute the first four plots on this line. (1) [(0, 0), (1, 1), (2, 1), (3, 2)] (2) [(0, 0), (1, 1.5), (2, 2), (3, 3)] (3) [(0, 0), (1, 1), (2, 2.5), (3, 3)] (4) [(0, 0), (1, 2), (2, 2), (3, 2)]

Description : Consider a line AB with A = (0,0) and B = (8, 4). Apply a simple DDA algorithm and compute the first four plots on this line. (1) [(0, 0), (1, 1), (2, 1), (3, 2)] (2) [(0, 0), (1, 1.5), (2, 2), (3, 3)] (3) [(0, 0), (1, 1), (2, 2.5), (3, 3)] (4) [(0, 0), (1, 2), (2, 2), (3, 2)]

Last Answer : [(0, 0), (1, 1), (2, 1), (3, 2)] 

Big - O estimate for f(x) = (x + 1) log(x2 + 1) + 3x2 is given as (A) O(xlogx) (B) O(x2) (C) O(x3) (D) O(x2logx)

Description : Big - O estimate for f(x) = (x + 1) log(x2 + 1) + 3x2 is given as (A) O(xlogx) (B) O(x2) (C) O(x3) (D) O(x2logx)

Last Answer : (B) O(x2)

Consider the following game tree in which root is a maximizing node and children are visited left to right. What nodes will be pruned by the alphabeta pruning? (A) I (B) HI (C) CHI (D) GHI

Description : Consider the following game tree in which root is a maximizing node and children are visited left to right. What nodes will be pruned by the alphabeta pruning?  (A) I (B) HI (C) CHI (D) GHI

Last Answer : (B) HI

What is the value returned by the function f given below when n = 100 ? int f(int n) { if (n==0) then return n; else return n + f(n-2); } (A) 2550 (B) 2556 (C) 5220 (D) 5520

Description : What is the value returned by the function f given below when n = 100 ? int f(int n)  { if (n==0) then return n;  else return n + f(n-2);  } (A) 2550 (B) 2556 (C) 5220 (D) 5520

Last Answer : (A) 2550