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(), **kwargs) 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.