db.gac

For the standalone function, see mario.calc_gac().

Calculate the activity-to-commodity quadrant of the SUT Ghosh inverse.

\[g_{ac}=g_{aa}b_s\]

Inputs#

gaa: activity Ghosh quadrant.

bs: activity-by-commodity direct-output coefficients.

Result#

Activity nodes on rows and commodity nodes on columns.

Calculation details#

The subscript a denotes activities and c commodities. A stored unified g can also supply this quadrant. The inverse builders for gcc and gaa fall back to the Moore-Penrose pseudoinverse when their system is singular.

Example#

import mario

db = mario.load_test("SUT", tech_assumption="IT")
result = db.resolve("gac")
# Dotted access requests the same block:
result = db.gac

Use resolve for scenario selection and recomputation options. Existing targets are reused. The other SUT equations are listed in Resolvable Matrices and Blocks.