Which mathematical technique is NOT commonly used in modern retail dynamic pricing algorithms?

Dynamic pricing algorithms have revolutionized retail by applying complex mathematical models to adjust prices in real-time based on demand, inventory levels, competitor pricing, and even weather patterns. These sophisticated systems leverage calculus, statistics, and machine learning to optimize pricing strategies. How well do you understand the mathematics behind modern retail pricing innovations?

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Bayesian probability models for demand forecasting
Quaternion rotation matrices for price optimization
Reinforcement learning for personalized discount strategies
Multivariate regression for elasticity calculations