Backward difference is a numerical method used to approximate the derivative of a function by considering the function's values at previous points. This approach is particularly useful when working with time-dependent problems or when the data points are more readily available in the backward direction. It provides a way to estimate changes in a function based on past information, which can be advantageous in various computational scenarios.
congrats on reading the definition of backward difference. now let's actually learn it.