Description:

Partial Differentiation is a fundamental concept in calculus that involves computing derivatives of functions of multiple variables with respect to one variable while holding the other variables constant. This course covers the theory and applications of partial differentiation, including partial derivatives, gradient vectors, and the chain rule for multivariable functions.

Key Highlights:

• Compute partial derivatives of functions
• Understand the concept of gradient vectors
• Apply the chain rule for multivariable functions

What you will learn:

• Understand partial derivatives
  Learn how to compute partial derivatives of functions with respect to one variable.
• Explore gradient vectors
  Discover the concept of gradient vectors and their significance in multivariable calculus.
• Apply the chain rule
  Master the application of the chain rule for differentiating multivariable functions.