Аннотация:
In this paper, we develop a new technique for the asymmetric approximation of
discrete functions arising in seasonal customer demand extrapolation.
We adapt the technique for two different settings, the so-called
pull and push models.
Our main goal here is to find effectively extrapolations minimizing the loss.
For both models, we discuss several features related to sampling,
approximation, and extrapolation.
Ключевые слова:periodic functions, approximation, pull and push models, maximizers.
