Explores curve integrals of vector fields, emphasizing energy considerations for motion against or with wind, and introduces unit tangent and unit normal vectors.
Introduces tensor transformations, rotation matrices, and differential operators in mechanics.
Covers the definitions of gradient and divergence, including the Cartesian coordinate system and the divergence theorem.
Explores the optimization of neural networks using Stochastic Gradient Descent (SGD) and the concept of dual risk versus empirical risk.
Covers unit vectors, coordinate system conversion, divergence, and rotational concepts in vector analysis.
