In general, algorithms are classified into paradigms like: greedy, dynamic, optimization, brute-force, and divide & conquer....
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In general, algorithms are classified into paradigms like: greedy, dynamic, optimization, brute-force, and divide & conquer. Each of the following phrases describes one of these paradigm 1) A solution is obtained first and then search for the next optimum one and so on. 2) The optimum solution is found by examining all possible ones. 3) The solution is obtained by solving the sub-parts of the problem. Determine the paradigm for each description, and give an example of a famous algorithm that belongs to such paradigm. What is the complexity of the following tasks? 1) Finding the largest two elements in a queue of size n+3 using Naïve search. 2) Remove the first item at the bottom of a stack data-structure of size n. 3) Inserting an item in a queue data-structure, this has already n elements. 4) Searching for a pattern of size K into a string of size T using KMP algorithm. 5) Searching for a pattern of size L into a string of size Y using Naïve algorithm. 6) Computing the mathematical average of all items in a queue of size 2n. 7) Searching for an element on a sorted list of length M using Binary Search algorithm. 8) Traverse a graph of N nodes and E edges using Breadth First Search algorithm In general, algorithms are classified into paradigms like: greedy, dynamic, optimization, brute-force, and divide & conquer. Each of the following phrases describes one of these paradigm 1) A solution is obtained first and then search for the next optimum one and so on. 2) The optimum solution is found by examining all possible ones. 3) The solution is obtained by solving the sub-parts of the problem. Determine the paradigm for each description, and give an example of a famous algorithm that belongs to such paradigm. What is the complexity of the following tasks? 1) Finding the largest two elements in a queue of size n+3 using Naïve search. 2) Remove the first item at the bottom of a stack data-structure of size n. 3) Inserting an item in a queue data-structure, this has already n elements. 4) Searching for a pattern of size K into a string of size T using KMP algorithm. 5) Searching for a pattern of size L into a string of size Y using Naïve algorithm. 6) Computing the mathematical average of all items in a queue of size 2n. 7) Searching for an element on a sorted list of length M using Binary Search algorithm. 8) Traverse a graph of N nodes and E edges using Breadth First Search algorithm
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1 A solution is obtained first and then search for the next optimum one an so on This is Greedy algo... View the full answer
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Auditing a risk based approach to conducting a quality audit
ISBN: 978-1133939153
9th edition
Authors: Karla Johnstone, Audrey Gramling, Larry Rittenberg
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