Least-square approach for singular value decompositions of scattering problems

A Tichai, P Arthuis, K Hebeler, M Heinz, J Hoppe… - Physical Review C, 2022 - APS
It was recently observed that chiral two-body interactions can be efficiently represented
using matrix factorization techniques such as the singular value decomposition. However …

Least-square approach for singular value decompositions of scattering problems

A Tichai, P Arthuis, K Hebeler, M Heinz, J Hoppe… - Phys. Rev. C, 2022 - inspirehep.net
It was recently observed that chiral two-body interactions can be efficiently represented
using matrix factorization techniques such as the singular value decomposition. However …

Least-square approach for singular value decompositions of scattering problems

A Tichai, P Arthuis, K Hebeler, M Heinz… - Physical …, 2022 - ui.adsabs.harvard.edu
It was recently observed that chiral two-body interactions can be efficiently represented
using matrix factorization techniques such as the singular value decomposition. However …

[PDF][PDF] Least-square approach for singular value decompositions of scattering problems

A Tichai, P Arthuis, K Hebeler, M Heinz, J Hoppe… - Physical Review …, 2022 - pure.mpg.de
It was recently observed that chiral two-body interactions can be efficiently represented
using matrix factorization techniques such as the singular value decomposition. However …

Least-square approach for singular value decompositions of scattering problems

A Tichai, P Arthuis, K Hebeler, M Heinz… - arXiv preprint arXiv …, 2022 - arxiv.org
It was recently observed that chiral two-body interactions can be efficiently represented
using matrix factorization techniques such as the singular value decomposition. However …

[PDF][PDF] Least-square approach for singular value decompositions of scattering problems

J Hoppe, A Schwenk, L Zurek - pure.mpg.de
It was recently observed that chiral two-body interactions can be efficiently represented
using matrix factorization techniques such as the singular value decomposition. However …