seemps.analysis.integration.quadrature_mesh_to_mps#

seemps.analysis.integration.quadrature_mesh_to_mps(quadrature_mesh: Mesh, map_matrix: ndarray[tuple[Any, ...], dtype[_ScalarT]] | None = None, physical_dimensions: list | None = None, cross_strategy: CrossStrategyMaxvol = CrossStrategyMaxvol(), initial_points: ndarray[tuple[Any, ...], dtype[_ScalarT]] | None = None) → MPS[source]#

Constructs the MPS representation of a multidimensional quadrature mesh using TCI.

The input mesh consists of univariate quadrature vectors (or arbitrary 1D arrays) defining the weights along each dimension. These vectors are combined into a full multidimensional quadrature operator and approximated in MPS form using tensor cross-interpolation with the specified strategy.