Results 51 to 60 of about 5,602,584 (374)
Efficient Tree Tensor Network States (TTNS) for Quantum Chemistry: Generalizations of the Density Matrix Renormalization Group Algorithm [PDF]
We investigate tree tensor network states for quantum chemistry. Tree tensor network states represent one of the simplest generalizations of matrix product states and the density matrix renormalization group.
Chan, Garnet Kin-Lic, Nakatani, Naoki
core +2 more sources
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu+17 more
wiley +1 more source
One-Bit Function Perturbation Impact on Robust Set Stability of Boolean Networks with Disturbances
This paper investigates the one-bit function perturbation (OBFP) impact on the robust set stability of Boolean networks with disturbances (DBNs). Firstly, the dynamics of these networks are converted into the algebraic forms utilizing the semi-tensor ...
Lei Deng, Xiujun Cao, Jianli Zhao
doaj +1 more source
Tensor products of operator systems [PDF]
41 pages Version III Journal of Functional Analysis (to appear)
Kavruk, A.+3 more
openaire +3 more sources
Understanding and measuring mechanical signals in the tumor stroma
This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz+3 more
wiley +1 more source
Robust Set Stability for Switched Boolean Networks Under One-Bit Function Perturbation
This paper investigates robust set stability for the switched Boolean networks (SBNs) with arbitrary switching signal affected by one-bit function perturbation (OBFP).
Lei Deng, Jinsuo Wang, Fengxia Zhang
doaj +1 more source
Tensor Product Generation Networks for Deep NLP Modeling
We present a new approach to the design of deep networks for natural language processing (NLP), based on the general technique of Tensor Product Representations (TPRs) for encoding and processing symbol structures in distributed neural networks.
Qiuyuan Huang+4 more
semanticscholar +1 more source
Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure [PDF]
The numerical solution of partial differential equations on high-dimensional domains gives rise to computationally challenging linear systems. When using standard discretization techniques, the size of the linear system grows exponentially with the ...
D. Kressner+2 more
semanticscholar +1 more source
AbstractWe give sufficient conditions for the description of the isometry group of a tensor product in terms of the isometry groups of the factors. A slightly more general theory involving tensor products and saturated linear groups is developed for this purpose.
Joel W. Robbin, Shmuel Friedland
openaire +2 more sources
UNEXPECTED SUBSPACES OF TENSOR PRODUCTS [PDF]
We describe complemented Copies Of l(2) both in C(K-1)circle times C-pi(K-2) when at least one of the compact spaces K-i is not scattered and in L-1(mu(1))circle times L-is an element of(1)(mu(2)) when at least one of the measures is not atomic. The corresponding local construction gives uniformly complemented copies of the l(2)(n) in c(0)circle times ...
Cabello Sánchez, Félix+2 more
openaire +4 more sources