👉 Streaming math is a branch of mathematics that deals with mathematical problems and solutions where the entire input or output is not available at once, but rather processed one element at a time. This approach is particularly useful for handling large datasets or complex computations that cannot fit into memory, making it ideal for real-time applications like live data analysis, interactive visualizations, and embedded systems. In streaming math, algorithms are designed to process data incrementally, updating results as new data arrives, often using techniques like windowing (processing data over fixed or sliding windows) and approximation methods to maintain efficiency and accuracy without needing to store the entire dataset.
