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
Minimal setup is required to run this project. Just install the following dependencies:
pip install numpy matplotlib scipy jupyter