Integration by Monte Carlo Method Using Python in Jupyter Notebook
Offered By: Codeynamics via YouTube
Course Description
Overview
Explore the Monte Carlo method for integration using Python in a Jupyter Notebook environment. Learn how to implement this powerful numerical technique for approximating definite integrals through probabilistic algorithms. Access the provided GitHub repository for hands-on code examples and refer to the linked NPTEL course video for in-depth theoretical explanations. Gain practical experience in applying Monte Carlo integration to solve complex mathematical problems efficiently.
Syllabus
Integration by Monte Carlo Method | Python | Jupyter Notebook
Taught by
Codeynamics
Related Courses
Artificial Intelligence for RoboticsStanford University via Udacity Intro to Computer Science
University of Virginia via Udacity Design of Computer Programs
Stanford University via Udacity Web Development
Udacity Programming Languages
University of Virginia via Udacity