Assume the existence of an N x M matrix of characters, you are requested to find the character that is most commonly used in the whole matrix. For example: Input: C E F A [F [F [E [C [D [D G F A A F В C G A Output: The most common characters are: F and A a) Design an efficient algorithm with the lowest possible complexity to solve this problem, and explain why your algorithm is efficient. b) Analyze the complexity of your algorithm. (10 marks) (5 marks) Question 4: (15 Marks) Find the complexity of the following blocks of code or algorithm's description. [Note: your answer must show the steps that lead to your final answer] (5 marks each) The algorithm solves the problem of 2) 1) size n by recursively solving sub- problems of size n – 1, and then combining the solutions in constant time. The algorithm solves the problem by breaking it into 16 sub- problems of 1/4 the scale, recursively solving each sub- maze, and then combining the solutions in linear time 3) The algorithm solves the problem of size n by dividing it into 32 sub- problems of size n/2, recursively solving each sub-problem, and then combining the solutions in O(n5) time Page 4 of 5 따E미어미시미이 CAACE☺ED ACAFE wAE O BFEW ODD

Assume the existence of an N x M matrix of characters, you are requested to find the character that is most commonly used in the whole matrix. For example: Input: C E F A [F [F [E [C [D [D G F A A F В C G A Output: The most common characters are: F and A a) Design an efficient algorithm with the lowest possible complexity to solve this problem, and explain why your algorithm is efficient. b) Analyze the complexity of your algorithm. (10 marks) (5 marks) Question 4: (15 Marks) Find the complexity of the following blocks of code or algorithm's description. [Note: your answer must show the steps that lead to your final answer] (5 marks each) The algorithm solves the problem of 2) 1) size n by recursively solving sub- problems of size n – 1, and then combining the solutions in constant time. The algorithm solves the problem by breaking it into 16 sub- problems of 1/4 the scale, recursively solving each sub- maze, and then combining the solutions in linear time 3) The algorithm solves the problem of size n by dividing it into 32 sub- problems of size n/2, recursively solving each sub-problem, and then combining the solutions in O(n5) time Page 4 of 5 따E미어미시미이 CAACE☺ED ACAFE wAE O BFEW ODD

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

a)The array A[0..n-2] contains n-1 integers in ascending order from 1 to n. (So an integer between 1 and n is missing.) Design an efficient algorithm to find the missing number. (The algorithm you designed should not be a Brute-force algorithm) b)Repeat (a) for an unordered sequence.
make mathlab code
Below is the exercise for unsorted arrays. True or False: For each statement below, indicate whether you think it is True or False 3) For the insert function, if the array is empty, there are no comparison operations that need to be performed and you can immediately add the new element 5) Because the update algorithm depends on using linear search, its performance is O(1) in the worst case scenario 6) If you search for and delete an element in an unsorted array and then shift the rest of the elements to fill the hole, the worst case performance is O(n) 7) If you search for and delete an element in an unsorted array and then move the last element to fill the hole, the worst case performance is O(n)
Good evening, can you solve the Computer Applications question Matlab within 5 minutes, with thanks and appreciation