/MultivariableCalculus

Demonstrations of the fundamental concepts from multivariable calculus

Primary LanguageJupyter Notebook

Multivariable Calculus Demos

A collection of Jupyter notebooks demonstrating the fundamental concepts of multivariable calculus.

Covers the following subjects:

  • The Gradient
  • Directional Derivative
  • Partial Derivatives and Multivariable Chain Rule
  • Curvature
  • Divergence
  • Curl
  • The Laplacian
  • The Jacobian
  • Tangent Planes
  • The Hessian Matrix
  • The Second Partial Derivative Test
  • Lagrange Multipliers & Constrained Optimization

Setup

Minimal setup is required to run this project. Just install the following dependencies:-

pip install numpy matplotlib scipy jupyter