An efficient method of forecasting chaotic time series using linear interpolation

Abstract A simple, computationally efficient method for forecasting chaotic time series is described which makes implicit use of the Jacobian information in the data. If the embedding dimension of the strange attractor is d , only d + 1 linear equations need to be solved.