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This work investigates second-order monadic logic with objective linear functions (LinEMSOL) applied to the modeling of optimization problems in graphs. Their expressive capacities, tractable problem classes and the relationship with structural parameters such as tree width and click width are analyzed. A conceptual hierarchy of LinEMSOL limitations is proposed, divided into levels according to the complexity of the objective function: cardinality, arithmetic with weights, and modular or global constraints. Also discussed are the logical extensions needed to overcome these limitations.
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