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background
Background LCI implementation including Tarjan Ordering.
This is kept as a separate repo because it is the only place numpy/scipy is required. The idea is to enable people to run LCI/A computations without having the background data on their machine or having to perform matrix construction and inversion (i.e. only using foreground computations, like GaBi does).
Partial Ordering
The default implementation performs an ordering of the LCI database using Tarjan's algorithm for detecting strongly-connected components (see Partial Ordering of Life Cycle Inventory Databases)
It performs the ordering, and then builds and stores a static LCI database (A and B matrices). This code is crusty, but it works.
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