Add @dantzig_wolfe macro for declarative decomposition #4
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Implements declarative syntax for Dantzig-Wolfe decomposition using pattern matching: - Pattern syntax: constraint[m, _] => subproblem(m), coverage[_] => master() - Generates multiple method definitions using gensym() for unique function names - Full integration with existing dantzig_wolfe_decomposition infrastructure - Comprehensive test suite with error handling and compatibility validation
guimarqu
commented
Aug 25, 2025
Updated partitionning.jl to use Set{Tuple{}} for scalar
elements instead of Set{Tuple} to match models.jl type
annotations. Changed function signatures to Dict{Symbol,Any}
for type flexibility while maintaining Set{Tuple{}} for
scalar variable/constraint indexes.
This ensures proper type alignment between partitioning
and registration components throughout the pipeline.
Added documentation for new declarative macro approach alongside original function-based annotations. Shows pattern matching examples and scalar variable support.
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Summary
Example