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The suitability of a quasi-Newton algorithm for estimating fitness-fatigue models: sensitivity, troublesome local optima and implications for future research (an in silico experimental design). (2021)
Working Paper
STEPHENS HEMINGWAY, B., SWINTON, P. and OGOREK, B. 2021. The suitability of a quasi-Newton algorithm for estimating fitness-fatigue models: sensitivity, troublesome local optima and implications for future research (an in silico experimental design). SportRxiv [online]. Available from: https://doi.org/10.31236/osf.io/dx7gm

Fitting an FFM via NLS in practice assumes that a unique optimal solution exists and can be found by the algorithm applied. However, this idealistic scenario may not hold for two reasons: 1) the absolute minimum may not be unique; and 2) local minima... Read More about The suitability of a quasi-Newton algorithm for estimating fitness-fatigue models: sensitivity, troublesome local optima and implications for future research (an in silico experimental design)..

Traditional and contemporary approaches to mathematical fitness-fatigue models in exercise science: a practical guide with resources. Part II. (2021)
Working Paper
SWINTON, P., STEPHENS HEMINGWAY, B., RASCHE, C., PFEIFFER, M. and OGOREK, B. 2021. Traditional and contemporary approaches to mathematical fitness-fatigue models in exercise science: a practical guide with resources. Part II. SportRxiv [online]. Available from: https://doi.org/10.31236/osf.io/5qgc2

The standard fitness-fatigue model (FFM) is known to include several limitations described by the linearity assumption, the independence assumption and the deterministic assumption. These limitations ensure that the modelled response to chronic train... Read More about Traditional and contemporary approaches to mathematical fitness-fatigue models in exercise science: a practical guide with resources. Part II..