Explores implicit differentiation and the Implicit Function Theorem for finding unique local functions.
Covers constraints, Lagrange equations, generalized coordinates, cyclic coordinates, conservation laws, and Hamilton formalism.
Explores work, energy, and conservation principles in mechanics through examples and experiments, emphasizing the optimization of paths for efficiency.
Covers the Simplex algorithm for function minimization with linear constraints.
Explores finding the initial Basic Feasible Solution (BFS) in a linear program.
