Stochastic differential equations

Stochastic Differential Equations (SDEs) are equations that involve stochastic processes, which means they incorporate randomness or noise into their formulation. SDEs are used to model systems that are influenced by random effects, making them particularly useful in fields such as finance, physics, biology, and engineering. ### Key Components of SDEs: 1. **Differential Equation**: Like ordinary differential equations (ODEs), SDEs describe how a variable evolves over time.