Discrete-Time Models

Discrete-time models are mathematical tools used to analyze systems that evolve at specific steps or intervals, such as daily stock prices or monthly sales figures. Instead of continuous monitoring, these models focus on changes occurring at distinct points in time. They help predict future behavior based on current and past data, making them useful for understanding trends, decision-making, and control processes in real-world applications like economics, engineering, and biology.