Final answer:
Linear programming, differential equations, Bayesian networks, and game theory are components of decision support mathematical processes. However, differential equations are not part of this list.
Step-by-step explanation:
Linear programming is a mathematical method used to determine the best possible outcome in a linear model. It involves maximizing or minimizing an objective function subject to a set of constraints. It is widely used in decision-making processes. On the other hand, differential equations are mathematical equations that describe how variables change over time, often used to model dynamic systems. They are not specifically related to decision support processes. Similarly, Bayesian networks are graphical models that represent probabilistic relationships between variables, which are commonly used for decision-making and inference. Lastly, game theory is a branch of mathematics that studies strategic decision-making. It analyzes situations where multiple agents interact, such as in economics or politics, to determine the best strategies or outcomes. Therefore, the component of decision support mathematical processes that is not included in the options given is differential equations (option b)