A novel method for approximate solution of two point non local fractional order coupled boundary value problems. [PDF]
Tadoummant L +4 more
europepmc +1 more source
Orthogonal polynomials of two discrete arguments associated with bivariate Pascal distribution [PDF]
A. A. Klunnik, G. I. Prizva
openalex +1 more source
Statistical Complexity of Quantum Learning
The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi +3 more
wiley +1 more source
Legendre polynomial transformation and energy-weighted random forests for sequential data classification. [PDF]
Olaniran OR +5 more
europepmc +1 more source
Asymptotic behavior of varying discrete Jacobi--Sobolev orthogonal\n polynomials [PDF]
Juan F. Mañas–Mañas +2 more
openalex +1 more source
Fast and Slow Mixing of the Kawasaki Dynamics on Bounded‐Degree Graphs
ABSTRACT We study the worst‐case mixing time of the global Kawasaki dynamics for the fixed‐magnetization Ising model on the class of graphs of maximum degree Δ$$ \Delta $$. Proving a conjecture of Carlson, Davies, Kolla, and Perkins, we show that below the tree‐uniqueness threshold, the Kawasaki dynamics mix rapidly for all magnetizations. Disproving a
Aiya Kuchukova +3 more
wiley +1 more source
Patterning Fidelity Enhancement and Aberration Mitigation in EUV Lithography Through Source-Mask Optimization. [PDF]
Wang Q, Wu Q, Li Y, Liu X, Li Y.
europepmc +1 more source
Recurrence relations and outer relative asymptotics of orthogonal polynomials with respect to a discrete Sobolev type inner product [PDF]
Francisco Marcellán +3 more
openalex +1 more source
Differential operator for discrete Gegenbauer-Sobolev orthogonal polynomials: Eigenvalues and asymptotics [PDF]
L. Littlejohn +3 more
semanticscholar +1 more source
Inferring Long‐Term Tectonic Uplift Patterns From Bayesian Inversion of Fluvially‐Incised Landscapes
Abstract Earth surface processes encode the combined forcing of tectonics and climate in topography. Separating their contributions is essential for using landscapes as quantitative records of crustal deformation. Here, we develop a method to invert non‐dimensionalized, spatially variable fields of long‐term rock uplift and rock erodibility from ...
Bar Oryan +4 more
wiley +1 more source

