An efficient sampling algorithm for Variational Monte Carlo [PDF]
, 2006 We propose a new algorithm for sampling the $N$-body density $|\Psi({\bf R})|^2/\int_{\mathbb{R}^{3N}} |\Psi|^2$ in the Variational Monte Carlo (VMC) framework.
Allen M. P. +5 more
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Approximate Nonlinear Discrete-Time Models Based on B-Spline Functions
IEEE Access, 2020 We consider the discretization of continuous-time nonlinear systems described by normal forms. In particular, we consider the case when the input to the system is generated by a B-spline hold device to obtain an approximate discrete-time model.
Claudia Sanchez, Juan I. Yuz
doaj +1 more source
Direct and indirect methods to optimize the muscular force response to a pulse train of electrical stimulation [PDF]
ESAIM: Proceedings and Surveys, 2021 Recent force-fatigue mathematical models in biomechanics [7] allow to predict the muscular force response to functional electrical stimulation (FES) and leads to the optimal control problem of maximizing the force.
Bakir Toufik +3 more
doaj +1 more source
Open geometry Fourier modal method: Modeling nanophotonic structures in infinite domains [PDF]
, 2016 We present an open geometry Fourier modal method based on a new combination of open boundary conditions and an efficient $k$-space discretization. The open boundary of the computational domain is obtained using basis functions that expand the whole space,
de Lasson, Jakob Rosenkrantz +2 more
core +2 more sources
Lamb Wave-Minimum Sampling Variance Particle Filter-Based Fatigue Crack Prognosis
Sensors, 2019 Fatigue cracks are one of the common failure types of key aircraft components, and they are the focus of prognostics and health management (PHM) systems. Monitoring and prediction of fatigue cracks show great application potential and economic benefit in
Weibo Yang, Peiwei Gao
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Succinct sampling from discrete distributions [PDF]
Proceedings of the forty-fifth annual ACM symposium on Theory of Computing, 2013 We revisit the classic problem of sampling from a discrete distribution: Given n non-negative w-bit integers x1,..,xn, the task is to build a data structure that allows sampling i with probability proportional to xi. The classic solution is Walker's alias method that takes, when implemented on a Word RAM, O(n) preprocessing time, O(1) expected query ...
Karl Bringmann, Kasper Green Larsen
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A PSF Approach to Far Field Discretization for Conformal Sources
IEEE Access, 2022 Field sampling should be devised to preserve the information required for the knowledge of the radiation of an antenna. In this paper, we introduce a sampling scheme based on an inverse source problem approach to the far field radiated by a conformal ...
Giovanni Leone +3 more
doaj +1 more source
Bias behaviour and antithetic sampling in mean-field particle approximations of SDEs nonlinear in the sense of McKean [PDF]
ESAIM: Proceedings and Surveys, 2019 In this paper, we prove that the weak error between a stochastic differential equation with nonlinearity in the sense of McKean given by moments and its approximation by the Euler discretization with time-step h of a system of N interacting particles is ...
Bencheikh O., Jourdain B.
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Efficient Sampling Methods for Discrete Distributions [PDF]
Algorithmica, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bringmann, Karl +1 more
openaire +3 more sources
Bootstrapping sample quantiles of discrete data [PDF]
Annals of the Institute of Statistical Mathematics, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jentsch, C., Leucht, A.
openaire +5 more sources