TCS PA Design Principle MCQs 1.Fastest Sorting algorithm ? 6. 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. if (left_end+1 > k) long questions & short questions for Computer Science Engineering (CSE) on EduRev as well by searching above. The length of lcs is length of lcs of X[0..i-1] and Y[0..j-1] It has the repu-tation of being the fasted comparison-based sorting algo-rithm. int *A, stkTop; If we get the entry X[n, W] as true then there is a subset of {a1, a2, .. an} that has sum as W. A sub-sequence of a given sequence is just the given sequence with some elements (possibly none or all) left out. Which of the following sorting methods will be the best if number of swappings done, is the only measure of efficiency? Module-2 Divide and Conquer 10 hours Divide and Conquer: General method, Binary search, Recurrence equation for divide and conquer, Finding the maximum and minimum (T2:3.1, 3.3, 3.4), Merge sort, Quick sort (T1:4.1, 4.2), Strassenâs matrix multiplication (T2:3.8), Advantages and Disadvantages of divide and conquer. Algorithm efficiency. Here, A1 is a 10 × 5 matrix, A2 is a 5 x 20 matrix, and A3 is a 20 x 10 matrix, and A4 is 10 x 5. stkFunc (0, 10); // push 10 2) The last characters don't match. vuassignments.com upload the CS502 latest Solved MCQs Mega Collection for mid term papers. Algorithm A2 can compute min-max in a2 comparisons by scanning the array linearly. Then x + 10y = ___. } stkFunc (0, 5); b- muscle glycogen. fb = f(xb) i = 0 Quick sort has two worst cases, when input is in either ascending or descending order, it takes same time O(n2). Nov 26,2020 - Dynamic Programming And Divide-And-Conquer MCQ - 1 | 20 Questions MCQ Test has questions of Computer Science Engineering (CSE) preparation. For example, given an array {12, -13, -5, 25, -20, 30, 10}, the maximum subarray sum is 45. return -1; i = i + 1 // update counter { You can find other Divide And Conquer (Basic Level) - 1 extra questions,
It is basically matrix chain multiplication problem. What can be the best possible time complexity of your power function? Which of the following algorithms exhibits the unnatural behaviour that, minimum number of comparisons are needed if the list to be sorted is in the reverse order and maximum number of comparisons are needed if they are already in sorted order? Quick sort algorithm uses divide and conquer technique. 2 Divide-and-Conquer We use quicksort as an example for an algorithm that fol-lows the divide-and-conquer paradigm. Total number of multiplications = 100x20x5 (for M2 x M3) + 10x100x5 + 10x5x80 = 19000. Solved MCQS From Midterm Papers Dec 09,2012 Solved By Rabia Rauf ( Marks: 1 ) - Please choose one 1.Random access machine or RAM is a/an Machines build by Al-Khwarizmi ... divide-and-conquer (pg#34) 2. decrease and conquer 3. greedy nature 4. break; This mock test of Divide And Conquer (Basic Level) - 1 for Computer Science Engineering (CSE) helps you for every Computer Science Engineering (CSE) entrance exam. All other parenthesized options will require number of multiplications more than 1500. You can find other Dynamic Programming And Divide-And-Conquer MCQ - 1 extra questions,
B. We can calculate power using divide and conquer in O(Logn) time. while (i < N and |fb| > ε) do There are 3 LCS of length 4 "qprr", "pqrr" and qpqr A subsequence is a sequence that can be derived from another sequence by selecting zero or more elements from it, without changing the order of the remaining elements. To compress something by pressing it very hardly To minimize the time â¦ All Unit MCQ â¦ if (stkTop) return A[--stkTop]; Then, The number of scalar multiplications required in the following sequence of matrices will be : A1((A2A3)A4) = (5 x 20 x 10) + (5 x 10 x 5) + (10 x 5 x 5) = 1000 + 250 + 250 = 1500. In particular, we utilized the identity: a 210 k+ b c10 + d = 10 k 10k ac+ 10k (a+ b) (c+ d) 10k 1 bd (we work with base 10 in this problem to both simplify algebra and avoid issues with â¦ Combine the solutions to the sub-problems into the solution for the original problem. Rather we can solve it manually just by brute force. A binary search tree contains the values -1, 2, 3, 4, 5, 6, 7 and 8. By continuing, I agree that I am at least 13 years old and have read and agree to the. A=B; When Divide and Conquer is used to find the minimum-maximum element in an array, Recurrence relation for the number of comparisons is Prim's Minimum Spanning Tree is a Greedy Algorithm. Algorithm A1 can compute min-max in a1 comparisons without divide and conquer. We will first check whether there exist a subsequence of length 5 since min_length(A,B) = 5. if (stkTop < size ) A[stkTop++]=val; Which of the following statements is TRUE? The height of an empty binary search tree is a) 0 b) 1 c) -1 d) -2 e) None of the above 28. Consider two strings A = "qpqrr" and B = "pqprqrp". // print sum of two pop Which of the following algorithms is NOT a divide & conquer algorithm by nature? MULTIPLE-CHOICE QUESTIONS Complete these questions without using the text and then refer back. Divide-and-conquer as breaking the â¦ if |fb| > ε Decrease the amount of disk space utilized (c) ... Divide and Conquer; Greedy Method May (18) April (17) March (60) February (48) January (112) 2012 (26) December (26) Labels. Origin and Authors of Indus Valley Civilisation, Transactions And Concurrency Control MCQ Quiz - 1, Machine Instructions And Addressing Modes - MCQ Quiz - 1, Introduction And IP Addressing (Basic Level) - 1, Dynamic Programming And Divide-And-Conquer MCQ - 1. xb = xt // reset xb Which of the following is valid for 2 <= i <= n and ai <= j <= W? Algorithms: Decrease-n-Conquer in comparison with Brute Force and Divide-and-Conquer - Duration: 8:25. There are nidentically looking coins one of which is fake. In-order traversal of a Binary Search Tree lists the nodes in ascending order. The tree is traversed in preorder and the values are printed out. You should prefer. Transform and Conquer: Instances and Structuring. The naive solution for this problem is to calculate sum of all subarrays starting with every element and return the maximum of all. fb = f(xb) // function value at new xb, end while Which of the following algorithm design technique is used in the quick sort algorithm? But, 4 < 5, so not possible. â¦ All other are dynamic programming based. Four matrices M1, M2, M3 and M4 of dimensions pxq, qxr, rxs and sxt respectively can be multiplied is several ways with different number of total scalar multiplications. The secant method is used to find the root of an equation f(x) = 0. 2. Computer Science Engineering (CSE)
The page is about quizzes on different topics of algorithms like asymptotic analysis, greeady, dynamic programming, NP completeness, graph algorithms, etc Decrease-and-Conquer Plutarch says that Sertorius, in order to teach his soldiers that perseverance and wit are better than brute force, had two horses â¦ This test is Rated positive by 88% students preparing for Computer Science Engineering (CSE).This MCQ test is related to Computer Science â¦ break; Rearranging the library books in a shelf in proper order is same as arranging cards. Decrease and Conquer Algorithms - Enumeration and Selection The decrease and conquer technique is similar to divide and conquer, except instead of partitioning a problem into multiple subproblems of smaller size, we use some technique to reduce our problem into a single problem that is smaller than the original. Since the length of given strings A = “qpqrr” and B = “pqprqrp” are very small, we don’t need to build a 5x7 matrix and solve it using dynamic programming. Let x be the length of the longest common subsequence (not necessarily contiguous) between A and B and let y be the number of such longest common subsequences between A and B. divide-and-conquer decrease and conquer greedy nature 2-dimension Maxima. b) LCS of X[0..i] and Y[0..j-1]. MCQs to test the knowledge acquired have also been included. By continuing, I agree that I am at least 13 years old and have read and agree to the. heap order (handouts page 40) (log n) order 8. What could be the relation between a1 and a2 considering the worst case scenarios? Which of the following also called "diminishing interment sort"? The book has been divided into four sections: â¦ Fake-Coin Puzzle. If p = 10, q = 100, r = 20, s = 5 and t = 80, then the number of scalar multiplications needed is. static int size=0, stkTop=0; b- is decreased in red muscles. Finally, the length of the longest monotonically increasing sequence is max(L0,L1,…,Ln−1). Dr. Yingwu Zhu. Quicksort â¦ If we multiply two matrices A and B of order l x m and m x n respectively,then the number of scalar multiplications in the multiplication of A and B will be lxmxn. If there are many such indices, the algorithm can return any one of them. Divide-and-conquer as breaking the problem into a small number of pivot Sieve . True. The solved questions answers in this Dynamic Programming And Divide-And-Conquer MCQ - 1 quiz give you a good mix of easy questions and tough questions. switch (opcode) Euclidean algorithm to compute the greatest common divisor, This is an implementation of Euclid’s algorithm to find GCD. When multiplied as (((M1 X M2) X M3) X M4), the total number of scalar multiplications is pqr + prs + pst. int B[20]; Which one of the following groups of chemicals is not a food 72. Which is the suitable expression that is to be put in place of? Decrease and conquer is also known as _____ approach. You will have to read all the given answers and click over the correct answer. A. Decrease-and-Conquer. The number of external nodes in a binary search tree of 4 nodes is: a) 3 b) 4 c) 5 d) 6 e) 7 29. long questions & short questions for Computer Science Engineering (CSE) on EduRev as well by searching above. Binary insertion sort take minimum comparison if the list to be sorted is in reverse order and maximum number of comparison if they already in sorted order. Aptitude test Questions answers . The function treats the first element of a[] as a pivot, and rearranges the array so that all elements less than or equal to the pivot is in the left part of the array, and all elements greater than the pivot is in the right part. stkFunc (0, 10); Ans. The printable worksheets here feature exercises consisting of one-step, two-step and multi-step equation word problems involving fractions, decimals and integers. The missing argument lists are respectively, (a, left_end, k) and (a+left_end+1, n–left_end–1, k–left_end–1), (a, left_end, k) and (a, n–left_end–1, k–left_end–1), (a, left_end+1, N–left_end–1, K–left_end–1) and(a, left_end, k), (a, n–left_end–1, k–left_end–1) and (a, left_end, k). False . students definitely take this Divide And Conquer (Basic Level) - 1 exercise for a better result in the exam. X[I, j] (2 <= i <= n and ai <= j <= W), is true if any of the following is true 1) Sum of weights excluding ai is equal to j, i.e., if X[i-1, j] is true. Analysis of Selection algorithm ends up with, T(n) T(1 / 1 + n) T(n / 2) T((n / 2) + n) In in-place sorting algorithm is one that uses arrays for storage : An additional array No additioanal array Both of above may be true according to algorithm More than 3 â¦ } CHAPTER 1 1. EduRev is a knowledge-sharing community that depends on everyone being able to pitch in when they know something. Multiple Choice Questions Unit 1 Data compression means to the file size. Incremental. We assume k ≤ n, int kth_smallest (int a[], int n, int k) Consider the C program below. Indeed it is very fast on the average but can be slow for some input, unless precautions are taken. Similarly, we can shown (c) can’t be a valid output. case 0: then // loop is terminated with i = N Bellman–Ford Algorithm for single source shortest path, Floyd Warshall Algorithm for all pairs shortest paths. If they are small enough, solve the sub-problems as base cases. So insertion sort should be preferred. 2-dimension Maxima Correct Choice : 1 From Lectuer # 10 X[i, j],1 <= i <= n, 0 <= j <= W, is TRUE if and only if there is a subset of {a1 ,a2 ,...,ai} whose elements sum to j. Subsequence need not be contiguous. Which of the following sorting methods sorts a given set of items that is already in sorted order or in reverse sorted order with equal speed? Solve smaller instance 3. The minimum number of scalar multiplications required to find the product A1A2A3A4 using the basic matrix multiplication method is. STAGE 1: (Transformation stage): The problemâs instance is modified, more amenable to solution STAGE 2: (Conquering stage): The transformed problem is solved The three major variations of the transform & conquer â¦ 4. In addition, it moves the pivot so that the pivot is the last element of the left part. Quick sort is based on divide and conquer paradigm; we divide the problem on base of pivot element and: There is explicit combine process as well to conquer the solutin: No work is needed to combine the sub-arrays, the array is already sorted: Merging the subarrays: None of above: A }, Q. greedy nature. p(x) = a0 + x(a1 + x(a2 + a3x)). A heap is a left-complete binary tree that conforms to the increasing order only decreasing order only . c 2- The frequency needed to produce tetanus: a- is increased by cooling. The fourth section includes the advanced topics such as transform and conquer, decrease and conquer, number thoeretics, string matching, computational geometry, complexity classes, approximation algorithms, and parallel algorithms. Which of the following sequences is a valid output? This contains 10 Multiple Choice Questions for Computer Science Engineering (CSE) Divide And Conquer (Basic Level) - 1 (mcq) to study with solutions a complete question bank. We are given two sequences X[m] and Y[n] of lengths m and n respectively, with indexes of X and Y starting from 0. 74. } While doing linear scan, it would take 2*(n-1) comparisons in the worst case to find both minimum as well maximum in one pass. xa = xb // reset xa printf ("%d\n", stkFunc(1, 0)+ stkFunc(1, 0)); else It is done only by insertion sort because in insertion sort we compare the one card to another all inserted card. Consider the polynomial p(x) = a0 + a1x + a2x2 +a3x3, where ai != 0, for all i. ... Each chapter of the book includes a variety of end-chapter exercises in the form of MCQs â¦ It is started from two distinct estimates xa and xb for the root. ( /8 points) Fast multiplication via divide-and-conquer In class we discussed the method of speeding up multiplication via divide-and-conquer. The algorithm uses dynamic programming paradigm, The algorithm has a linear complexity and uses branch and bound paradigm, The algorithm has a non-linear polynomial complexity and uses branch and bound paradigm, The algorithm uses divide and conquer paradigm. Two. This test is Rated positive by 91% students preparing for Computer Science Engineering (CSE).This MCQ test is related to Computer Science Engineering (CSE) syllabus, prepared by â¦ For example, when multiplied as ((M1 X M2) X (M3 X M4)), the total number of multiplications is pqr + rst + prt. { The divide-and-conquer paradigm often helps in the discovery of efficient algorithms. write “return xb” A dynamic program for solving this problem uses a 2-dimensional Boolean array X, with n rows and W+1 columns. You can use Next Quiz button to check new set of â¦ case -1: int main() Initialize: xa, xb, ε, N // ε = convergence indicator 2 MCQ Quiz #1: The Basics of Sorting Algorithms- Quadratic Sorts; 3 MCQ Quiz #2: Efficient Sorting Algorithms- Quick sort, Merge Sort, Heap Sort; 4 MCQ Quiz #3- The Radix Sort; 5 MCQ Quiz #4: Divide and Conquer Techniques- Binary Search, Quicksort, Merge sort, Complexities; 6 MCQ Quiz #5- Dynamic Programming The structure within a cell that is concerned with energy is: (a) the cytoplasm, (b) the cell membrane, (c) the nucleus, (d) the mitochondrion. { printf ("%d\n", stkFunc(1, 0) + stkFunc(1, 0)); This mock test of Dynamic Programming And Divide-And-Conquer MCQ - 1 for Computer Science Engineering (CSE) helps you for every Computer Science Engineering (CSE) entrance exam. This contains 20 Multiple Choice Questions for Computer Science Engineering (CSE) Dynamic Programming And Divide-And-Conquer MCQ - 1 (mcq) to study with solutions a complete question bank. The way a card game player arranges his cards as he picks them up one by one, is an example of. Reduce problem instance to smaller instance of the same problem 2. You are asked to sort 15 randomly generated numbers. 1.Heap 2.Merge 3.Bubble 4.Selection 2.Which is the not dynamic programming ? smaller sub problems (handouts page 27) Selection 7. 1) Array is sorted 2) Array is sorted and rotated by k. k is given to you and k <= n 3) Array is sorted and rotated by k. k is NOT given to you and k <= n 4) Array is not sorted. Increase Decrease Canât say None of the above Answer Correct option is B Data compression and encryption both work on binary False True Answer Correct option is B What is compression? Let Li denote the length of the longest monotonically increasing sequence starting at index i in the array. We have many ways to do matrix chain multiplication because matrix multiplication is associative. Ans. ; Problem â¦ So that it follows all steps of the secant method? else The subset-sum problem is defined as follows. 75. The length of lcs is max of following two lcs values Solution. The optimal solutions are then combined to get a global optimal solution. Following quiz provides Multiple Choice Questions (MCQs) related to Data Structures Algorithms. Channa Bankapur 3,350 views Which of the following standard algorithms is not Dynamic Programming based. Ans. It runs in O(n) time complexity. Assume. The solved questions answers in this Divide And Conquer (Basic Level) - 1 quiz give you a good mix of easy questions and tough questions. // missing expression for The minimum number of multiplications needed to evaluate p on an input x is: Multiplications can be minimized using following order for evaluation of the given expression. Decrease-and-Conquer. a) LCS of X[0..i-1] and Y[0..j] The procedure is given below. Extend solution of smaller instance to obtain solution to original instance. if (left_end+1==k) 5. divide-and-conquer decrease and conquer. Similarly, decrease and conquer only requires reducing the problem to a single smaller problem, such as the classic Tower of Hanoi puzzle, which reduces moving a tower of height n to moving a tower of height n â 1. stkFunc (-1, 10); #include The return value is the number of elements in the left part. 2-dimension Maxima. See details of the algorithm here. Observe that there is an expression which is missing and is marked by? An algorithm to find the length of the longest monotonically increasing sequence of numbers in an array A[0 :n-1] is given below. You want to check whether a given set of items is sorted. return a [left_end]; â Decrease the value of the key currently at by . Finally the printf statement prints sum of two pop operations which is 10 + 5 = 15. stkFunc (-1, 10); // Initialize size as 10 stkFunc (0, 5); // push 5 Maximum Subarray Sum problem is to find the subarray with maximum sum. 1.Insertion sort 2.Quick sort â¦ 6. We get minimum number of multiplications using ((M1 X (M2 X M3)) X M4). Pros and cons of Divide and Conquer Approach. Kadane algorithm is used to find the maximum sum subarray in an array. = expr2, if i,j > 0 and X[i-1] != Y[j-1], In Longest common subsequence problem, there are two cases for X[0..i] and Y[0..j], 1) The last characters of two strings match. Q. 3. True False. if we want to check if given input is sort or not then one pass of bubble sort and n pass of insertion sort with each has work of O(1) are best i.e.take O(n) time. If number of swapping is the measure of efficiency of algorithm the selection sort is best since it cannot take swap more than O(n). return kth_smallest (____________________); stkTop = -1; You can use these MCQs of reading comprehension as a practice for the â¦ In divide and conquer, the problem is divided into smaller non-overlapping subproblems and an optimal solution for each of the subproblems is found. The shell sort sometimes called the “diminishing increment sort" improves on the insertion sort by breaking the original list into a number of smaller sub list each of which is sorted using an insertion sort. Lecture 7 - Design and analysis of Divide and Conquer Algorithms Lecture 8 - Heaps and Heap sort Lecture 9 - Priority Queue Lecture 10 - Lower Bounds for Sorting MODULE -II Lecture 11 - Dynamic Programming algorithms Lecture 12 - Matrix Chain Multiplication Lecture 13 - Elements of Dynamic Programming Lecture 14 - â¦ The smaller â¦ //The LCS is of length 4. Since there is no subsequence , we will now check for length 4. end if. In the above question, which entry of the array X, if TRUE, implies that there is a subset whose elements sum to W? Question 2 Explanation: In quick sort, the array is divided into sub-arrays and then it is sorted (divide-and-conquer strategy). } default: The following partially given function in the C programming language is used to find the kth smallest element in an array a[ ] of size n using the partition function. Database Management Systems MCQ - II 51. int left_end = partition (a, n); xt = ? MCQ (nerve and muscles) Choose the best ( â)answer: 1- The energy of muscle contraction is derived from the following except: a- ATP. To practice all areas of Data Structures & Algorithms, here is complete set of 1000+ Multiple Choice Questions and Answers. On solving, T(n) = 1.5n - 2. We can solve this using Divide and Conquer, what will be the worst case time complexity using Divide and Conquer. Consider the problem of searching an element x in an array 'arr[]' of size n. The problem can be solved in O(Logn) time if. } The code in main, basically initializes a stack of size 10, then pushes 5, then pushes 10. View the answer of each MCQ by clicking over the Show/Hide Answer or all answers at the bottom of the page. { In option (a), considering 5 as root, [786] becomes the right sub tree. Consider the problem of computing min-max in an unsorted array where min and max are minimum and maximum elements of array. Which of the following sorting methods will be the most efficient if it is already is sorted order? Here we have four matrices A1, A2, A3, and A4, we would have: ((A1A2)A3)A4 = ((A1(A2A3))A4) = (A1A2)(A3A4) = A1((A2A3)A4) = A1(A2(A3A4)). c- lactic acid. 2) Sum of weights including ai is equal to j, i.e., if X[i-1, j-ai] is true so that we get (j – ai) + ai as j. In the analysis of Selection algorithm, we make a number of passes, in fact it could be as many as, T(n) T(n / 2) log n n / 2 + n / 4. In Sieve Technique we do not know which item is of interest. students definitely take this Dynamic Programming And Divide-And-Conquer MCQ - 1 exercise for a better result in the exam. Try to solved the CS502 latest Solved MCQs Mega Collection for mid term papers yourself for the better preparation of Mid â¦ // intermediate value In other words, no matter how we parenthesize the product, the result of the matrix chain multiplication obtained will remain the same. We wish to find the length of the longest common sub-sequence(LCS) of X[m] and Y[n] as l(m,n), where an incomplete recursive definition for the function l(i,j) to compute the length of The LCS of X[m] and Y[n] is given below: l(i,j) = 0, if either i=0 or j=0 Join our social networks below and stay updated with latest contests, videos, internships and jobs! The iteration stops if f(xb) is very small and then xb is the solution. write “Non-convergence” For example, mergesort uses divide and conquer strategy. It divides the data set every time on pivot element and keep on sorting each data set recursively. Origin and Authors of Indus Valley Civilisation, Transactions And Concurrency Control MCQ Quiz - 1, Machine Instructions And Addressing Modes - MCQ Quiz - 1, Introduction And IP Addressing (Basic Level) - 1, Dynamic Programming And Divide-And-Conquer MCQ - 1, Dynamic Programming, P & NP Concept ( Advance Level) - 1, Dynamic Programming, P & NP Concepts (Basic Level), Dynamic Programming, P & NP Concepts (Basic Level) - 2. }, The value printed by the above program is ___________. Conquer the sub-problems by solving them recursively. The ideal choice will be. X = 4 and Y = 3 X + 10Y = 34, Let A1, A2, A3, and A4 be four matrices of dimensions 10 x 5, 5 x 20, 20 x 10, and 10 x 5, respectively. Either the problem or algorithm can be transformed in one of three ways: Instance simplification: the instances of the problem can be transformed into an easier instance to solve. Computer Science Engineering (CSE)
Slow sorting algorithms run in, T(n^2) â¦

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