In previous technical reports, we have
separately considered the topic of efficient searches for
compatible combinations from large numbers of possibilities
and the topic of modern techniques for approaching large
TURF problems using the eTURF 2.0 technique. These
two topics share a common structure that allows them to
be combined to facilitate custom TURF analyses that
incorporate unique aspects of project goals directly into the
search for best solutions. Such customizations of TURF
analysis have long been a source of interest within market
research and, in this report, we look at one such custom
analysis using a technique called linear programming.
This technical report appears as:
Ennis, J. M. and Russ, W. J. (2017). Large TURF Problems: Finding Custom Solutions. IFPress, 20(3) 3-4.
Download this technical report here:
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