This talk offers an algorithmic appproach to constrained least
squares estimation. Thus our primary objects of interest are rather the
algorithms that allow one to solve least squares estimation tasks and not
so much the existence and uniqueness results for the concrete estimation
The nature of such numerical algorithms is strongly influenced by two
In this talk we show how such aspects can be used to analyze and tune least squares estimation tasks in quantum control. No knowledge on quantum control is assumed and we review the necessary background.