Purpose This study aims to propose a novel method based on model learning with sparsity inducing norms for estimating dynamic gravity terms of the serial manipulators. This method is realized by operating the robot, acquiring data and filtering the features in signal acquisition to adapt to the...

We consider the single-facility location problem with mixed norms, i.e. the problem of minimizing the sum of the distances from a point to a set of fixed points in R, where each distance can be measured according to a different p-norm.We show how this problem can be expressed into a structured...

In this paper we propose a new interior-point method, which is based on an extension of the ideas of self-scaled optimization to the general cases. We suggest using the primal correction process to find a scaling point. This point is used to compute a strictly feasible primal-dual pair by simple...

We consider the single-facility location problem with mixed norms, i.e. the problem of minimizing the sum of the distances from a point to a set of fixed points in $${\mathbb{R}^n}$$ , where each distance can be measured according to a different p-norm. We show how this problem can be expressed...

We consider the single-facility location problem with mixed norms, i.e. the problem of minimizing the sum of the distances from a point to a set of fixed points in <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$${\mathbb{R}^n}$$</EquationSource> </InlineEquation> , where each distance can be measured according to a different p-norm. We show how this problem can be...</equationsource></inlineequation>