
Summary: In some practical situations (e.g., in econometrics), it is important to check whether a given linear subspace of a space \(\mathbb R^m\) with component-wise order is a lattice -- and if it is not, whether it is at least a directed ordered space. Because of the practical importance, it is desirable to have feasible algorithms for solving these problems -- which in Computer Science is usually interpreted as algorithms whose computation time does not exceed a polynomial of the length of the input. No such algorithms were previously known. In this paper, we present feasible algorithms for solving both problems.
Ordered rings, algebras, modules, Computer Sciences, directed ordered spaces, linear subspaces of \(\mathbb R^m\), Software, source code, etc. for problems pertaining to ordered structures, feasible algorithms, Ordered vector space, direct order, Symbolic computation and algebraic computation, 004, lattice-subspace, lattices, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.)
Ordered rings, algebras, modules, Computer Sciences, directed ordered spaces, linear subspaces of \(\mathbb R^m\), Software, source code, etc. for problems pertaining to ordered structures, feasible algorithms, Ordered vector space, direct order, Symbolic computation and algebraic computation, 004, lattice-subspace, lattices, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.)
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