Adaptive methods refer to a set of techniques commonly used in research and data analysis to adjust and optimize models or strategies based on changing or evolving conditions. These methods involve continuously monitoring data, variables, or circumstances and making real-time adjustments to algorithms, models, or systems to improve their performance. Adaptive methods are particularly useful in dynamic and uncertain environments where traditional static approaches may not be effective. This research area is often applied in fields such as machine learning, optimization, control systems, and decision-making processes.