GCD and LCM


What is LCM (Least Common Multiple)?
The LCM, or Least Common Multiple, is the smallest number that two or more numbers can all divide into without leaving a remainder. Think of it like finding the smallest shared playground where all your friends can meet at the same time. For example, the LCM of 4 and 6 is 12 because 12 is the smallest number that both 4 and 6 can fit into evenly.
What is GCD (Greatest Common Divisor)?
The GCD, or Greatest Common Divisor, is the largest number that can evenly divide two or more numbers. It’s like finding the biggest shared cookie size that can be cut evenly among your friends. For example, the GCD of 8 and 12 is 4 because 4 is the biggest number that can divide both 8 and 12 without leaving any crumbs.
GCD and LCM Calculator with Prime Factorization

GCD and LCM Calculator

Enter two or more numbers separated by commas to calculate the GCD, LCM, and view their prime factorizations:

Comments

Post a Comment

Popular posts from this blog

Complete Machine Learning Notes for BCA Final Year Students

Image
  BCADS-517 MACHINE LEARNING UNIT I:                                                                                                (8 Sessions) Introduction: Learning theory, Hypothesis, and target class, Inductive bias and bias-variance trade-off, Occam's razor, Limitations of inference machines, Approximation and estimation errors for skill development and employability. 1. Learning Theory Learning theory in Machine Learning (ML) is a framework that helps us understand how algorithms can learn patterns and make predictions from data. It provides a theoretical foundation for understanding the capabilities and limitations of various machine learning algorithms. Learning theory explores questions like: 1.     Generalization: How well does a model perform on new, unseen data? Can it generalize the patterns it learned from the training data to make accurate predictions on new instances? 2.     Overfitting and Underfitting: When is a model too complex (overfitting)
Read more

Data Structure & Algorithms for M.C.A.

IFTM UNIVERSITY DEPARTMENT OF COMPUTER APPLICATIONS DATA STRUCTURE & ALGORITHM MCA Assignment: #1 Q1. Define Data Structure. Q2. Explain the classification of Data Structure. Q3. Explain various operations performed on  Data Structures. Q4. Explain complexity and its types considering any algorithm? Q5. What is a 2-Dimensional Array? Explain in detail. Q6. Write an algorithm for linear search. Discuss its cases. Q7. Define Stack. Write an algorithm for pop operation. Q8. What is a circular queue? Write an algorithm for deleting an element. Assignment: #2 Q1. What is Binary Tree? [HINT: https://www.youtube.com/watch?v=uWBqWvjreNo&t=725s ] Q2. Explain INORDER, PREORDER and POST ORDER traversal of binary tree. [HINT: https://www.youtube.com/watch?v=cbaWHXSsSCY&t=232s  ] Q3. Explain linked representation of binary tree with example? [HINT: https://www.youtube.com/watch?v=l7P4ESrSaqc  ] Q4. Explain
Read more

Data Science Notes for Computer Science Students

    1. What is Data Science? Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. In simpler terms, data science is about obtaining, processing, and analyzing data to gain insights for many purposes. 2. Why is Data Science Important? Data science has emerged as a revolutionary field that is crucial in generating insights from data and transforming businesses. It's not an overstatement to say that data science is the backbone of modern industries. But why has it gained so much significance? a.        Data volume. Firstly, the rise of digital technologies has led to an explosion of data. Every online transaction, social media interaction, and digital process generates data. However, this data is valuable only if we can extract meaningful insights from it. And that's precisely where data science comes in. b.        Value-creation. Secondly, data science
Read more