# jemdoc: menu{MENU}{software.html} # jemdoc: eqs, eqsize{150}, # jemdoc: addpackage{amsmath} # jemdoc: addpackage{mathdots} # jemdoc: addpackage{amsfonts} # jemdoc: addpackage{times} # jemdoc: addpackage{mathptmx} # jemdoc: showsource = Software produced by the SLRA project ~~~ {}{img_left}{software-logo.png}{}{120px}{}{} == [software-slra.html SLRA: Software for weighted structured low-rank approximation] The SLRA package computes locally optimal solutions to low-rank approximation problems with the following features: - constraint on the approximating matrix, - /weighted 2-norm/ approximation criterion, - /fixed elements/ in the approximating matrix, - /missing elements/ in the data matrix, and - /linear constraints/ on an approximating matrix's left kernel basis. ~~~ ~~~ {}{img_left}{ident-logo.png}{}{120px}{}{} == [software-ident.html IDENT: Package for identification in behavioural setting] The IDENT package solves identification problems with no a priori separation of the variables into inputs and outputs and representation invariant approximation criterion. The model class consists of linear time-invariant systems of bounded complexity and the approximation criterion is the minimum of a weighted 2-norm distance between the given time series and a time series that is consistent with the model. The problem is equivalent to and is solved as a mosaic-Hankel structured low-rank approximation problem.Additional nonstandard features of the software are specification of exact and missing variables and identification from multiple experiments. ~~~