Calculus
Differential calculus, limits, derivatives, chain rule backpropagation, multivariable partial derivatives, and optimization algorithms.
Epsilon-delta limit definitions, derivative rate of change, power/product/chain rules, and gradient vectors.
Limits, Epsilon-Delta Rigor & Derivative Foundations
Formal definitions of limits, instantaneous rates of change, and automatic differentiation principles.
Darboux sums, Riemann integrability conditions, the Fundamental Theorem of Calculus, integration by parts, and adaptive numerical quadrature.
Riemann Sums, FTC Proofs & Adaptive Quadrature
Partition refinement, Darboux integral equality, FTC Part 1 and 2, and composite Simpson quadrature error bounds.
Functions of several variables, partial derivatives, directional derivatives, gradient vectors, Jacobian matrices, and Hessian curvature matrices.
Multivariate Derivatives, Jacobian Matrices & Optimization
Directional derivatives, the gradient theorem, second-order Taylor expansions, Hessian eigenvalues, and multivariate optimization.
Line integrals, surface integrals, conservative vector fields, Green's Theorem, Divergence Theorem, and Stokes' Generalized Theorem.
Flux, Circulation & Fundamental Integral Theorems
Path integrals, flux across closed surfaces, differential operators (curl, divergence), and the unification of Stokes' theorem.