Concept
Thurstone scale
Related publications (8)
Riemannian Optimization For High-Dimensional Tensor Completion
Michael Maximilian Steinlechner
Tensor completion aims to reconstruct a high-dimensional data set where the vast majority of entries is missing. The assumption of low-rank structure in the underlying original data allows us to cast the completion problem into an optimization problem rest ...
Siam Publications2016Implementing global Abelian symmetries in projected entangled-pair state algorithms
Due to the unfavorable scaling of tensor-network methods with the refinement parameter M, new approaches are necessary to improve the efficiency of numerical simulations based on such states, in particular for gapless, strongly entangled systems. In one-di ...
2011