EE-Learning
Gradient and contour maps
Catogry:
Math
Subject:
Maltivariable Calculus
Course:
Derivatives Of Multivariable Functions
Lecture List
Second partial derivative test example, part 1
The Jacobian Determinant
Computing a Jacobian matrix
The Jacobian matrix
Local linearity for a multivariable function
Jacobian prerequisite knowledge
Harmonic Functions
Explicit Laplacian formula
Laplacian computation example
Laplacian intuition
3d curl computation example
3d curl formula, part 2
3d curl formula, part 1
3d curl intuition, part 2
3d curl intuition, part 1
Describing rotation in 3d with a vector
2d curl nuance
2d curl example
2d curl formula
2d curl intuition
Divergence notation
Divergence example
Divergence formula, part 2
Divergence formula, part 1
Divergence intuition, part 2
Divergence intuition, part 1
Partial derivatives of vector fields, component by component
Partial derivatives of vector fields
Partial derivative of a parametric surface, part 2
Partial derivative of a parametric surface, part 1
Computing the partial derivative of a vector-valued function
Curvature of a cycloid
Curvature of a helix, part 2
Curvature of a helix, part 1
Curvature formula, part 5
Curvature formula, part 4
Curvature formula, part 3
Curvature formula, part 2
Curvature formula, part 1
Curvature intuition
More formal treatment of multivariable chain rule
Multivariable chain rule and directional derivatives
Vector form of the multivariable chain rule
Multivariable chain rule intuition
Multivariable chain rule
Vector valued function derivative example
Differential of a vector valued function
Vector-valued functions differentiation
Vector-valued functions intro
Why the gradient is the direction of steepest ascent
Directional derivatives and slope
Directional derivative, formal definition
Directional derivative
Gradient and contour maps
Gradient and graphs
Gradient
Symmetry of second partial derivatives
Formal definition of partial derivatives
Graphical understanding of partial derivatives
Partial derivatives, introduction