Lectures related to Submodular Maximization

Introduces the basics of plasma physics, covering collective behavior, Debye length, and plasma conditions.

Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.

Covers the concept of limits and continuity in real analysis.

Explores the integrality gap concept in set cover and multiplicative weights algorithms.

Explores the application of the Gauss/Green theorem to calculate curve integrals along simple closed curves.

Covers functions, including even and odd functions, periodicity, and function operations.

Covers the introduction to Quantum Chaos, classical chaos, sensitivity to initial conditions, ergodicity, and Lyapunov exponents.

Explores quantum backaction, noise mitigation strategies, and the analysis of quantum fluctuations.

Explores derivability and continuity of functions, showcasing examples of functions with differentiability properties.