Covers Barrett reduction, Montgomery form of integers, and efficient Montgomery product computation.
Covers the basics of algorithms, their historical significance, pseudo-code representation, and practical tasks in computational thinking.
Explores constraints, power, work, and kinetic energy, including oscillation periods, elliptic integrals, Legendre polynomials, and their applications.
Explores Laplacian solvers, covering approximate solutions, applications, error conversion, and theoretical advancements in computational methods.
