4. Consider the following recursive algorithm. Algorithm Mystery A[0..n - 1]) //Input: An array A[0..n - 1] of real numbers if n = 1 return A[0] else temp ← Riddle(A[0..n - 2]) if temp ≤ A[n 1] return temp else return A[n − 1] a. What does this algorithm compute? The given algorithm will recursively calculate the minimum of the given array or list of elements. For every value of n. It calculates the minimum of all values preceding n(ie. <= n- 1). If the value returned is less than the value[n], it returns that value else it returns value[n]. b. What is its input size? Input size: an array of size 0 to n-1 of real numbers. c. What is its basic operation? The basic operation is: temp <- Riddle(A[0...n-2]) d. Set up a recurrence relation for the algorithm's basic operation count and solve it. e. What is the efficiency class of this algorithm?

4. Consider the following recursive algorithm. Algorithm Mystery A[0..n - 1]) //Input: An array A[0..n - 1] of real numbers if n = 1 return A[0] else temp ← Riddle(A[0..n - 2]) if temp ≤ A[n 1] return temp else return A[n − 1] a. What does this algorithm compute? The given algorithm will recursively calculate the minimum of the given array or list of elements. For every value of n. It calculates the minimum of all values preceding n(ie. <= n- 1). If the value returned is less than the value[n], it returns that value else it returns value[n]. b. What is its input size? Input size: an array of size 0 to n-1 of real numbers. c. What is its basic operation? The basic operation is: temp <- Riddle(A[0...n-2]) d. Set up a recurrence relation for the algorithm's basic operation count and solve it. e. What is the efficiency class of this algorithm?

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

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