Bottleneck-Targeted Rehabilitation Planning for Lossy Irrigation Canal Networks: reproducibility package

Exact, reproducible software for the inverse rehabilitation-design problem on a lossy, capacity-constrained rooted canal tree, accompanying the conference paper Bottleneck-Targeted Rehabilitation Planning for Lossy Irrigation Canal Networks: An Exact Guarantee–Budget Curve. The package contains: the closed-form minimum-cost widening plan and its convex piecewise-linear budget function with concave inverse (Algorithm 1); the epsilon-bottleneck-set ascent for lining, whose joint step uses a minimum-cost transversal that is certified optimal whenever the relief family is laminar (Algorithm 2); exact-rational relief sets characterized as period-induced rooted descendant sets; six benchmark instances, including the 36-node, 35-edge, 20-service-block, 16-period Gone Abat Jap controlled canal scenario; the exact-rational outputs and 600 dpi figures reported in the paper; the recorded step-by-step trajectory of the ascent on the canal network, beside a greedy single-reach baseline and a blanket lining policy; and run_investment.py, which regenerates every table and figure from the input data. All arithmetic is exact rational: the design problem is solved without a linear program. Widening decisions are carried at the level of the physical reach and period-source limits are treated as exogenous water availability. Unit prices are set to one throughout, so the reported quantities are added conveyance capacity and counts of lined reaches rather than monetary expenditure.

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