Results 11 to 20 of about 20,364 (303)

Multiscale Contour Steered Region Integral and Its Application for Cultivar Classification

open access: yesIEEE Access, 2019
In this paper, a multiscale contour steered region integral (MCSRI) method is proposed to classify highly similar shapes with flexible interior connection architectures.
Xiaohan Yu   +3 more
doaj   +2 more sources

Fermionic Sign Problem Minimization by Constant Path Integral Contour Shifts

open access: yes, 2023
The path integral formulation of quantum mechanical problems including fermions is often affected by a severe numerical sign problem. We show how such a sign problem can be alleviated by a judiciously chosen constant imaginary offset to the path integral.
Gäntgen, Christoph   +4 more
core   +3 more sources

Targeting multi-loop integrals with neural networks

open access: yesSciPost Physics, 2022
Numerical evaluations of Feynman integrals often proceed via a deformation of the integration contour into the complex plane. While valid contours are easy to construct, the numerical precision for a multi-loop integral can depend critically on the ...
Ramon Winterhalder, Vitaly Magerya, Emilio Villa, Stephen P. Jones, Matthias Kerner, Anja Butter, Gudrun Heinrich, Tilman Plehn
doaj   +1 more source

Numerical contour integration for loop integrals [PDF]

open access: yesComputer Physics Communications, 2006
A fully numerical method to calculate loop integrals, a numerical contour-integration method, is proposed. Loop integrals can be interpreted as a contour integral in a complex plane for an integrand with multi-poles in the plane. Stable and efficient numerical integrations an along appropriate contour can be performed for tensor integrals as well as ...
Yoshimi Kurihara, Toyohisa Kaneko
openaire   +3 more sources

A convenient Keldysh contour for thermodynamically consistent perturbative and semiclassical expansions

open access: yesSciPost Physics, 2023
The work fluctuation theorem (FT) is a symmetry connecting the moment generating functions (MGFs) of the work extracted in a given process and in its time-reversed counterpart.
Vasco Cavina, Sadeq S. Kadijani, Massimiliano Esposito, Thomas L. Schmidt
doaj   +1 more source

Backpropagating Hybrid Monte Carlo algorithm for fast Lefschetz thimble calculations

open access: yesJournal of High Energy Physics, 2022
The Picard-Lefschetz theory has been attracting much attention as a tool to evaluate a multi-variable integral with a complex weight, which appears in various important problems in theoretical physics.
Genki Fujisawa   +3 more
doaj   +1 more source

Numerical Inverse Transformation Methods for Z-Transform

open access: yesMathematics, 2020
Numerical inverse Z-transformation (NIZT) methods have been efficiently used in engineering practice for a long time. In this paper, we compare the abilities of the most widely used NIZT methods, and propose a new variant of a classic NIZT method based ...
Illés Horváth   +2 more
doaj   +1 more source

The quantum-mechanical Coulomb propagator in an L2 function representation

open access: yesScientific Reports, 2021
The quantum-mechanical Coulomb propagator is represented in a square-integrable basis of Sturmian functions. Herein, the Stieltjes integral containing the Coulomb spectral function as a weight is evaluated.
Rolf Gersbacher, John T. Broad
doaj   +1 more source

Dynamics of contour integration

open access: yesVision Research, 2001
To determine the dynamics of contour integration the temporal properties of the individual contour elements were varied as well as those of the contour they form. A temporal version of a contour integration paradigm (Field, D. J., Hayes, A., & Hess, R. F.
Hess, Robert F.   +2 more
openaire   +2 more sources

Bayesian contour integration [PDF]

open access: yesPerception & Psychophysics, 2001
The process by which the human visual system parses an image into contours, surfaces, and objects--perceptual grouping--has proven difficult to capture in a rigorous and general theory. A natural candidate for such a theory is Bayesian probability theory, which provides optimal interpretations of data under conditions of uncertainty.
openaire   +2 more sources

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