Presents exact finite-horizon inversion for matrix convolutions via truncated noncommutative series algebra and FFT, with discretization rules, error bounds, and applications to semi-Markov transition and reward calculations.
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Algebraic and FFT-Based Methods for Discrete-Time Matrix Convolutions with Applications to Semi-Markov Models
Presents exact finite-horizon inversion for matrix convolutions via truncated noncommutative series algebra and FFT, with discretization rules, error bounds, and applications to semi-Markov transition and reward calculations.