Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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- Make a 4x4 crossword puzzle for the picture below. Words that should be searchable are joy bob sun bow Letters that are searchable are f,k,s,s,b,j,o,u,b,o,b,n,x,y,w,y {'f', 'k', 's','s'} {'b', 'j', 'o','u'} {'b', 'o', 'b', 'n'} {'x', 'y', 'w', 'y'} Do not use the string library Call upon using the main function and all values will be stored in the class. There should be three menu options a search word, search letter and exit. Output word and letter if it exist and put not found it DNE. Use the given code as a template #include using namespace std; class Puzzle { private: char arr[4][4] public: // constructor Puzzle() { char arr[4][2] = {'f', 'k', 's','s'} {'b', 'j', 'o','u'} {'b', 'o', 'b', 'n'} {'x', 'y', 'w', 'y'} } ~Puzzle(){ } search(){ } void print_all() { for (int row = 0; row < n; row++) for (int column = 0; c…arrow_forwardHello, can you please help me do exercise 3 (with subparts 1,2,3, and 4)? Thank you so much!arrow_forwardYou want to design an algorithm, called minMax(A,p,r), that takes an array of integers and indexes of the first and last elements, and returns the minimum and maximum values in that range. Now write the pseudo code of a divide and conquer (and therefore, recursive) algorithm with the same time complexity (Θ(n)). You can assume that p ≤ r. Also, in your code, you can return two numbers by returning a pair, e.g. “return (a, b)”, and can save the output in a similar way, e.g. “(a, b) = minMax(parameters)”. (Short answer please)arrow_forward
- Merge sort is an efficient sorting algorithm with a time complexity of O(n log n). This means that as the number of elements (chocolates or students) increases significantly, the efficiency of merge sort remains relatively stable compared to other sorting algorithms. Merge sort achieves this efficiency by recursively dividing the input array into smaller sub-arrays, sorting them individually, and then merging them back together. The efficiency of merge sort is primarily determined by its time complexity, which is , where n is the number of elements in the array. This time complexity indicates that the time taken by merge sort grows logarithmically with the size of the input array. Therefore, even as the number of chocolates or students increases significantly, merge sort maintains its relatively efficient performance. Regarding the distribution of a given set of x to y using iterative and recursive functions, the complexity analysis depends on the specific implementation of each…arrow_forwardEvaluations of algorithmsCalculate the algorithmic complexity of binary search in terms of time. Please offer detailed instructions.arrow_forwardGive an example of a real-life scenario where one sorting algorithm outperforms the otherarrow_forward
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