This is a preview. Log in through your library . Abstract The collection of variance-covariance matrices for any linear model may be represented, without altering relationships among linear unbiased ...

When the response functions are the default generalized logits, then inclusion of the keyword _RESPONSE_ in every effect in the right-hand side of the MODEL statement induces a log-linear model. The ...

Abstract: This paper focuses on the inverse optimal control problem for discrete-time systems with unknown cost functions using linear matrix inequalities (LMIs). Based on Pontryagin's minimum ...

I have implemented a Linear regression model built from scratch, without using any machine learning python libraries like scikit-learn,keras, tensorflow or PyTorch This is my first machine learning ...

Vol. 94, No. 2, THEMATIC ISSUE: The mountain Cryosphere — A holistic view on processes and their interactions (JUNE 2012), pp. 183-194 (12 pages) Published By: Taylor & Francis, Ltd. In this ...

Modeling a railroad is hard. Railroads are large, linear pieces of civil engineering. So many modelers are drawn to the smallest scale they can use. Recently a new scale, named T, at 1:450 has been ...