CP_01                   transformation of the
                        real-number-CP-decompositions to Binary
CP_R01                  inverse of real-number-CP-decompositions to
                        Binary
RDFTensor-package       Different Tensor Factorization (Decomposition)
                        Techniques for RDF Tensors (Three-Mode-Tensors)
RescalReconstructBack   reconstruct a tensor from RESCAL factorization
                        result
Tensor_error            RESCAL Tensor error
cp_als                  Compute a CP decomposition using an alternating
                        least-squares algorithm(als)
cp_apr                  Compute nonnegative CP with alternating Poisson
                        regression(CP_APR)
cp_nmu                  Compute nonnegative CP with multiplicative
                        updates(NMU)
default_parcube_options
                        parCube initialization parameters
getTensor               getting tensor from triples
getTensor3m             getting tensor from triples
getTnsrijk              tensor frontal slices to indices
inv_rescal_sf_prd_chnkgrp
                        Reconstruct predicate(s) via chunks and
                        grouping
recon_1prd_topn_par     Reconstruct predicate top scores on very large
                        graphs
rescal                  RESCAL: Tensor Factorization.
rescal_01               transformation of the
                        real-number-RESCAL-decompositions to Binary
rescal_SO_Val           calaculate scores Subj,Predicate,Obj
rescal_Trp_Val          RESCAL scores of triples
scRescal                Scalable RESCAL Factorization
serial_parCube          Serial 3-mode ParCube algorithm for memory
                        resident tensors
spt_mttkrp              Matricized tensor times Khatri-Rao product for
                        ktensor
tensor2mat              Reduce tensor to matrix
tnsr2trp                sparse tensor to triples
umls_tnsr               RDF tensor of UMLS small graph
