Docs and examplesΒΆ
- Module act_one: single TT-tensor operations
- Module act_two: operations with a pair of TT-tensors
- Module act_many: operations with a set of TT-tensors
- Module als: construct TT-tensor by TT-ALS
- Module als_func: construct TT-tensor of coefficients
- Module anova: construct TT-tensor by TT-ANOVA
- Module anova_func: construct TT-tensor of interpolation coefs by TT-ANOVA
- Module core: operations with individual TT-cores
- Module cross: construct TT-tensor by TT-cross
- Module cross_act: compute user-specified function of TT-tensors
- Module data: functions for working with datasets
- Module func: Functional TT-format including Chebyshev interpolation
- Module func_full: Functional full format including Chebyshev interpolation
- Module grid: create and transform multidimensional grids
- Module matrices: collection of explicit useful QTT-matrices
- Module maxvol: compute the maximal-volume submatrix
- Module optima: estimate min and max value of the tensor
- Module optima_func: estimate max for function
- Module props: various simple properties of TT-tensors
- Module sample: random sampling for/from the TT-tensor
- Module sample_func: random sampling from the functional TT-tensor
- Module stat: helper functions for processing statistics
- Module svd: SVD-based algorithms for matrices and tensors
- Module tensors: collection of explicit useful TT-tensors
- Module transformation: orthogonalization, truncation and other transformations of the TT-tensors
- Module vectors: collection of explicit useful QTT-vectors
- Module vis: visualization methods for tensors