Analyze the run time of the following code fragments. Write the results of your analysis in Big-O notation. Assume a “big enough” value for N. (1) for (int x=0; x < n; x++) for (int y=0; y < n; y++) for (int z=0; z < n; z++) System.out.print(“*”); (2) for(int x=0; x < n; x++) for (int y=x; y < n; y++) System.out.print(“*”);
Analyze the run time of the following code fragments. Write the results of your analysis in Big-O notation. Assume a “big enough” value for N. (1) for (int x=0; x < n; x++) for (int y=0; y < n; y++) for (int z=0; z < n; z++) System.out.print(“*”); (2) for(int x=0; x < n; x++) for (int y=x; y < n; y++) System.out.print(“*”);
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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Analyze the run time of the following code fragments. Write
the results of your analysis in Big-O notation. Assume a “big enough” value for N.
(1) for (int x=0; x < n; x++)
for (int y=0; y < n; y++)
for (int z=0; z < n; z++)
System.out.print(“*”);
(2) for(int x=0; x < n; x++)
for (int y=x; y < n; y++)
System.out.print(“*”);
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