Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

OpenLearning

NUMERICAL DIFFERENTIATION & INTEGRATION

via OpenLearning

Overview

Master AI & Machine Learning for 50% Off
Go under the hood of AI — neural networks, real-world applications & more. Designed by UNSW experts.
Enroll Now

At the end of the learning session, you should be able to:

  1. Differentiate between integration and differentiation problems
  2. Solve numerical integration problems using Newton-Cotes formula, either individually or by combining several methods (selecting the best combination to yield the most accurate answer)
  3. Solve numerical differentiation problem
  4. Explain the trade-offs involved in selecting the best method (or methods) for any particular problem.

Syllabus

  • Differentiate between integration and differentiation problems
  • Solve numerical integration problems using Newton-Cotes formula, either individually or by combining several methods (selecting the best combination to yield the most accurate answer)
  • Solve numerical differentiation problem
  • Explain the trade-offs involved in selecting the best method (or methods) for any particular problem

Taught by

ULearn UMPSA

Reviews

Start your review of NUMERICAL DIFFERENTIATION & INTEGRATION

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.