I need some help with the analysisi of the following code: import java.util.*; public class Main {     static void findSequence(int [] a, int l){         int x=1;         int BNumber=a[0];         int y=0;         int index=0;         for(int n=1;ny){                     BNumber=a[n-1];                     y=x;                 }                 x=1;             }else {                  x++;             }         }         if( x>y){             BNumber=a[l-1];             y=x;         }         index=y-1;         System.out.println("The longest same number sequence starts at index "+index+" with "+y+" values of "+BNumber);     }      public static void main(String[] args) {           Scanner sc = new Scanner(System.in);          System.out.print("Enter a series of numbers ending with 0: ");          String s=sc.nextLine();         String[] splitArr = s.split(" ");         int[] array = new int[splitArr.length];         for (int i = 0; i < splitArr.length; i++) {             array[i] = Integer.parseInt(splitArr[i]);         }          findSequence(array,array.length);      }     }

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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I need some help with the analysisi of the following code:

import java.util.*;
public class Main {
    static void findSequence(int [] a, int l){
        int x=1;
        int BNumber=a[0];
        int y=0;
        int index=0;
        for(int n=1;n<l;n++){
            if(a[n]!=a[n-1]){ 
                if(x>y){
                    BNumber=a[n-1];
                    y=x;
                }
                x=1;
            }else { 
                x++;
            }
        }
        if( x>y){
            BNumber=a[l-1];
            y=x;
        }
        index=y-1;
        System.out.println("The longest same number sequence starts at index "+index+" with "+y+" values of "+BNumber);
    }
     public static void main(String[] args) { 
         Scanner sc = new Scanner(System.in);
         System.out.print("Enter a series of numbers ending with 0: ");
         String s=sc.nextLine();
        String[] splitArr = s.split(" ");
        int[] array = new int[splitArr.length];
        for (int i = 0; i < splitArr.length; i++) {
            array[i] = Integer.parseInt(splitArr[i]);
        }
         findSequence(array,array.length);
     }    
}

Analysis of algorithms
Analysis of algorithms is the determination of the amount of time and space resources required to execute it.
Usually, the efficiency or running time of an algorithm is stated as a function relating the input length to the number of
steps, known as time complexity, or volume of memory, known as space complexity.
However, the main concern of analysis of algorithms is the required time or performance. Generally, we perform the
following types of analysis -
• Worst-case - The maximum number of steps taken on any instance of size n.
• Best-case - The minimum number of steps taken on any instance of size n.
• Average case - An average number of steps taken on any instance of size n.
Transcribed Image Text:Analysis of algorithms Analysis of algorithms is the determination of the amount of time and space resources required to execute it. Usually, the efficiency or running time of an algorithm is stated as a function relating the input length to the number of steps, known as time complexity, or volume of memory, known as space complexity. However, the main concern of analysis of algorithms is the required time or performance. Generally, we perform the following types of analysis - • Worst-case - The maximum number of steps taken on any instance of size n. • Best-case - The minimum number of steps taken on any instance of size n. • Average case - An average number of steps taken on any instance of size n.
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