Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.
Covers simulation, modeling, acceleration profiles, natural frequencies, rigidity calculations, and anti-resonance solutions for multi-axes robots.
Covers the general framework of optimization and simulation, including deterministic control and the optimization problem.
Introduces discrete event simulation through the example of Rico at Satellite, emphasizing the importance of statistical analysis.
