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  "Description": "The Tabular Matrix Problems via Pseudoinverse Estimation\n(TMPinv) is a two-stage estimation method that reformulates\nstructured table-based systems - such as allocation problems,\ntransaction matrices, and input-output tables - as structured\nleast-squares problems. Based on the Convex Least Squares\nProgramming (CLSP) framework, TMPinv solves systems with row\nand column constraints, block structure, and optionally reduced\ndimensionality by (1) constructing a canonical constraint form\nand applying a pseudoinverse-based projection, followed by (2)\na convex-programming refinement stage to improve fit,\ncoherence, and regularization (e.g., via Lasso, Ridge, or\nElastic Net).",
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  "Language": "en-US",
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