Exercise 7.3.1: Worst-case time complexity - counting numbers in a sequence less than a target value. CountValuesLessThanT Input: a1, az.an n, the length of the sequence. T, a target value. Output: The number of values in the sequence that are less than T. count := 0 For i = 1 to n If (a < T), count := count + 1 End-for Return( count) (a) Characterize the asymptotic growth of the worst-case time complexity of the algorithm. Justify your answer.

Exercise 7.3.1: Worst-case time complexity - counting numbers in a sequence less than a target value. CountValuesLessThanT Input: a1, az.an n, the length of the sequence. T, a target value. Output: The number of values in the sequence that are less than T. count := 0 For i = 1 to n If (a < T), count := count + 1 End-for Return( count) (a) Characterize the asymptotic growth of the worst-case time complexity of the algorithm. Justify your answer.

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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