Results 201 to 210 of about 1,507,877 (336)
Journal of Combinatorial Designs, EarlyView.ABSTRACT Terwilliger algebras are finite‐dimensional semisimple algebras that were first introduced by Paul Terwilliger in 1992 in studies of association schemes and distance‐regular graphs. The Terwilliger algebras of the conjugacy class association schemes of the symmetric groups Sym(n) $\text{Sym}(n)$, for 3≤n≤6 $3\le n\le 6$, have been studied and ...
Allen Herman +2 more
wiley +1 more source
Parameter and q asymptotics of Lq‐norms of hypergeometric orthogonal polynomials
International Journal of Quantum Chemistry, Volume 123, Issue 2, January 15, 2023., 2023 The weighted Lq‐norms of orthogonal polynomials are determined when q and the polynomial's parameter tend to infinity. They are given in this work by the leading term of the q and parameter asymptotics of the corresponding quantities of the associated probability density. These results are not only interesting per se, but also because they control many
Nahual Sobrino, Jesus S. Dehesa
wiley +1 more source
Tsirelson bounds for quantum correlations with indefinite causal order. [PDF]
Nat CommunLiu Z, Chiribella G.
europepmc +1 more source
Newton polygons of higher order in algebraic number theory
, 2011 Jordi Guàrdia +2 more
openalex +1 more source
A Sharper Ramsey Theorem for Constrained Drawings
Journal of Graph Theory, EarlyView.ABSTRACT Given a graph G $G$ and a collection C ${\mathscr{C}}$ of subsets of Rd ${{\mathbb{R}}}^{d}$ indexed by the subsets of vertices of G $G$, a constrained drawing of G $G$ is a drawing where each edge is drawn inside some set from C ${\mathscr{C}}$, in such a way that nonadjacent edges are drawn in sets with disjoint indices.
Pavel Paták
wiley +1 more source
A General Approach to Dropout in Quantum Neural Networks
Advanced Quantum Technologies, EarlyView., 2023 Randomly dropping artificial neurons and all their connections in the training phase reduces overfitting issues in classical neural networks, thus improving performances on previously unseen data. The authors introduce different dropout strategies applied to quantum neural networks, learning models based on parametrized quantum circuits.
Francesco Scala +3 more
wiley +1 more source
Calculation algorithm of additional stresses in irregularly shaped foundation soils under non-uniform loading. [PDF]
Sci RepWang S, Zhang Z, Zhang X.
europepmc +1 more source
Chapter V. Three Theorems in Algebraic Number Theory
, 2016 Anthony W. Knapp, Anthony W. Knapp
openalex +1 more source