Results 41 to 50 of about 1,687,821 (139)
Kuga–Satake Construction on Families of K3 Surfaces of Picard Rank 14
ABSTRACT The isometry between the type IV6 and the type II4 hermitian symmetric domains suggests a possible relation between suitable moduli spaces of K3 surfaces of Picard rank 14 and of polarized abelian 8‐folds with totally definite quaternion multiplication. We show how this isometry induces a geometrically meaningful map between such moduli spaces
Flora Poon
wiley +1 more source
matrix-toolbox/CHM_CATALOG: v2.2.0
Sinkhorn matrices, symmetric and Hermitian ...
matrix-toolbox
core +1 more source
Abstract Understanding the spatio‐temporal variations in the physical properties of the Earth's crust is crucial for comprehending the dynamic processes linked to earthquakes. Conventional seismometer‐based analyses have limitations in spatio‐temporal resolution due to the sparse station distribution.
Takashi Hirose +6 more
wiley +1 more source
ABSTRACT Numerical anisotropy and dispersion are inherent consequences of spatial discretization in finite element modeling of wave propagation. In two‐dimensional problems, these effects manifest not only as direction‐dependent phase and group velocities but also as angularly dependent numerical band gaps that may entirely suppress wave propagation ...
Wiktor Waszkowiak +3 more
wiley +1 more source
Universal Adjacency Matrices with Two Eigenvalues [PDF]
AMS Mathematics Subject Classification: 05C50.Adjacency matrix;Universal adjacency matrix;Laplacian matrix;signless Laplacian;Graph spectra;Eigenvalues;Strongly regular ...
Omidi, G.R., Haemers, W.H.
core
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Schema of the adjacency matrix.
The elements of the adjacency matrix are the weights of links. Each row of the adjacency matrix contains the weights of in-links for the corresponding node, and the number of nonzero entries is its in-degree. Similarly, each column carries the weights of
Ilias Rentzeperis (10215602) +2 more
core +1 more source
Link Prediction with Swarms of Chiral Quantum Walks
Network reconstruction is a fundamental problem in network biology. We propose a link prediction method based on a swarm of chiral quantum walks. Random phase assignments in each walker's Hamiltonian generator produce complementary dynamics on the same topology.
Gaia Forghieri +3 more
wiley +1 more source
Modified edge adjacency matrices from the edge adjacency matrix of a sample graph network.
Modified edge adjacency matrices from the edge adjacency matrix of a sample graph network.
Ertugrul Taciroglu (17692267) +3 more
core +1 more source
Modularity‐Preserving Hamiltonian Compression for QAOA‐Based Community Detection
This work explores several quantum methods to community detection in networks by simplifying modularity‐based Hamiltonians. By reducing circuit complexity through sparsification, spectral projection, and penalty techniques, the methods retain key structural information while improving efficiency.
Danilo Cavaliere +2 more
wiley +1 more source

