Solution 4 for Scaler Topics Fortnightly Contest - 3

Learn via video course
FREE
View all courses
DSA Problem Solving for Interviews using Java
DSA Problem Solving for Interviews using Java
by Jitender Punia
1000
4.9
Start Learning
DSA Problem Solving for Interviews using Java
DSA Problem Solving for Interviews using Java
by Jitender Punia
1000
4.9
Start Learning
Topics Covered

This article is part of the Scaler Topics Fortnightly Contest - 3.

Build an AI-First Career, Master the Complete Skillset

Choose from our industry-leading programs designed for career success

NSDC Certified

Modern Software and AI Engineering Program

Master full-stack development with AI integration

12 MonthsDuration
AI-LedCurriculum
Career SupportSupport
GoogleAmazonPaytm+1000 more
Go to Program
NSDC Certified

Modern Data Science and ML with specialisation in AI

Advanced data science techniques with AI specialization

12 MonthsDuration
AI-LedCurriculum
Career SupportSupport
GoogleAmazonPaytm+1000 more
Go to Program
NSDC Certified

Advanced AIML with Specialisation in Agentic AI

Deep dive into AIML with focus on Agentic systems

12 MonthsDuration
AI-LedCurriculum
Career SupportSupport
GoogleAmazonPaytm+1000 more
Go to Program
NSDC Certified

DevOps, Cloud & AI Platform Engineering

Build and manage AI-powered cloud infrastructure

12 MonthsDuration
AI-LedCurriculum
Career SupportSupport
GoogleAmazonPaytm+1000 more
Go to Program
NSDC Certified

AI Engineering Advanced Certification by IIT-Roorkee

Premier AI engineering certification from IIT-Roorkee

3 MonthsDuration
AI-LedCurriculum
Career SupportSupport
Program highlights
Go to Program
NSDC Certified

AI Forward Deployed Engineer Program

Full-stack engineering, production AI and client-facing consulting

12 MonthsDuration
AI-LedCurriculum
Career SupportSupport
GoogleAmazonPaytm+1000 more
Go to Program

Solution Approach

  • Pre-requisite: Binary Lifting and Prime Factorization using Sieve of Eratosthenes.

  • The idea is to find the next catcher for every robot and then travel on the path that it makes.

  • For the first part, i.e. finding the next catcher, we can first prime factorize each array element using Sieve. This takes O(NloglogN) time for precomputation and O(logN) time for each prime factorization. Normal prime factorization will take O(sqrt(N)) time for each prime factorization.

  • After finding the prime factors, we can simply traverse all the prime factors for each element and check if any index ahead of the current index has that prime factor. Our next catcher would be the minimum index ahead of the current index, which has any common factor.

  • Once we have stored the next catcher for every index, we can travel on the path made by them.

  • For each query, we can travel on the path made by the series of next catchers, but it will take O(N) time for each query in the worst case.

  • So, we can use the technique of Binary Lifting to travel on these parts in O(log N) time complexity.

Overall time complexity: O(NlogN) Space Complexity: O(NlogN) for Binary Lifting

C++ Implementation

Sharpen Your Fundamentals with Free Learning

Java Implementation

How Scaler Transformed Careers in Different Fields

₹23L
AVG CTC
SCALER PLACEMENT PROOF

Scaler learners achieved 2.5x salary growth with average post-Scaler CTC reaching ₹23L.

11,000+placements
650+companies
Verified data
Hiring Partners:
GoogleGoogleAmazonAmazonMicrosoftMicrosoftFlipkartFlipkartAdobeAdobe1200+ more

Python Implementation