Results 21 to 30 of about 18,893 (283)
Determinants of Laplacians on discretizations of flat surfaces and analytic torsion
We study the asymptotic expansion of the determinants of the graph Laplacians associated to discretizations of a half-translation surface endowed with a unitary flat vector bundle. By doing so, over the discretizations, we relate the asymptotic expansion
Finski, Siarhei
doaj +1 more source
We analyze the resistance between two nodes in a cobweb network of resistors. Based on an exact expression, we derive the asymptotic expansions for the resistance between the center node and a node on the boundary of the M x N cobweb network with ...
R. Kenna
doaj +1 more source
An order verification method for truncated asymptotic expansion solutions to initial value problems
The focus of this paper is to obtain explicit solutions to initial value problems, where numerical methods cannot provide one, and to verify the accuracy orders of the explicit solutions.
Sudi Mungkasi
doaj +1 more source
Asymptotic expansion in approximation by normal law
We consider the asymptotic behavior of the convolution P*n(A\sqrt{n}) of a k-dimensional probability distribution P(A) as n \to \infty for A from the \sigma-algebra M of Borel subsets of Euclidian space Rk or from its subclasses.
Algimantas Bikelis +2 more
doaj +1 more source
Short time asymptotics for American maximum options with a dividend-paying asset
We investigate the asymptotic behaviors of American maximum options with dividend-paying assets near maturity. Using the exercise conditions of American options, we obtain the asymptotic forms of the two boundaries with respect to time-to-maturity ...
Rui Hou +3 more
doaj +1 more source
Embedding asymptotically expansive systems
We prove a Krieger like embedding theorem for asymptotically expansive systems with the small boundary property. We show that such a system $(X; T)$ embeds in the $K$-full shift with $h_{top}(T) < \log K $ and $\sharp Per_n(X; T) \leq \sharp Per_n(\{1,...,K\}^{\mathbb{Z}}; )$ for any integer $n$.
openaire +4 more sources
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
The Asymptotic Expansion Method via Symbolic Computation
This paper describes an algorithm for implementing a perturbation method based on an asymptotic expansion of the solution to a second-order differential equation. We also introduce a new symbolic computation system which works with the so-called modified
Juan F. Navarro
doaj +1 more source
12 ...
Nageshwar, Rohit +2 more
openaire +2 more sources
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De +3 more
wiley +1 more source

