Sensitivity analysis

Related lectures (32)

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Covers the principles and components of measurement systems, including accuracy, uncertainty, and error classification.

Discusses estimation and propagation of uncertainty in random variables and the importance of managing uncertainty in statistical analysis.

Explores expert systems, backward chaining, and uncertainty through fuzzy logic in practical applications.

Covers the verification and validation process in numerical flow simulation, ensuring credibility of simulation outcomes.

Introduces Robust-RRT, a planner for motion planning under uncertainty in nonlinear systems, ensuring safe solution families are chosen.

Covers the practical aspects of calculations in Life Cycle Assessment.

Explores the basics of mobile robotics, emphasizing uncertainties and the Bayes filter algorithm.

Focuses on the inference of reaction kinetics in combustion, covering rules inference, sensitivity analysis, and Bayesian inference.

Explores the emergence of informal transportation initiatives and challenges in African urban mobility.

Covers significant figures, notation for derivatives, and error estimation methods.