arXiv · 1602.07668
Analysis of the mean squared derivative cost function
Abstract
In this paper, we investigate the mean squared derivative cost functions that arise in various applications such as in motor control, biometrics and optimal transport theory. We provide qualitative properties, explicit analytical formulas and computational algorithms for the cost functions. We also perform numerical simulations to illustrate the analytical results. In addition, as a by-product of our analysis, we obtain an explicit formula for the inverse of a Wronskian matrix that is of independent interest in linear algebra and differential equations theory.
Explore related subjects
Keep this discovery
Manh Hong Duong, Minh Hoang Tran. 2017-02-28. Analysis of the mean squared derivative cost function. https://doi.org/10.1002/mma.4382
Cite the original work for its findings. Save a collection to share your selection of sources.