Adaptive algorithms refer to algorithms that are able to adjust and optimize their behavior based on changing input data or environmental conditions. These algorithms are designed to be flexible and responsive, allowing them to continuously improve their performance over time. They are commonly used in various fields such as machine learning, signal processing, optimization, and control systems. Adaptive algorithms are particularly useful in situations where the input data is dynamic or unpredictable, as they can adapt and refine their parameters to achieve optimal results.