2015
DOI: 10.1016/j.physrep.2014.11.006
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The Lagrange-mesh method

Abstract: The Lagrange-mesh method is an approximate variational method taking the form of equations on a grid thanks to the use of a Gauss-quadrature approximation. The variational basis related to this Gauss quadrature is composed of Lagrange functions which are infinitely differentiable functions vanishing at all mesh points but one. This method is quite simple to use and, more importantly, can be very accurate with small number of mesh points for a number of problems. The accuracy may however be destroyed by singula… Show more

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Cited by 213 publications
(354 citation statements)
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References 232 publications
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“…This nonorthogonal basis will be treated as orthogonal as is usual in the Lagrange-mesh method [18]. The Lagrange basis has the enormous advantage that the matrix elements can be approximated with the consistent Gauss quadrature.…”
Section: Lagrange-mesh Methods Over the Internal Regionmentioning
confidence: 99%
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“…This nonorthogonal basis will be treated as orthogonal as is usual in the Lagrange-mesh method [18]. The Lagrange basis has the enormous advantage that the matrix elements can be approximated with the consistent Gauss quadrature.…”
Section: Lagrange-mesh Methods Over the Internal Regionmentioning
confidence: 99%
“…In the Schrödinger case, a further simplification keeping a good convergence is obtained by combining the Lagrange-mesh method [17,18] with the R matrix [19,12]. The resulting method does not require any analytical or numerical calculation of matrix elements.…”
Section: Introductionmentioning
confidence: 99%
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“…This term is treated as an inhomogeneous one when solving numerically the FY equations. The core part of the FY partial amplitudes is expanded on the basis of Lagrange-Laguerre mesh functions, employing Lagrange-mesh method [73]:…”
Section: Faddeev-yakubovsky Equations In Configuration Spacementioning
confidence: 99%
“…The Schrödinger equation is solved by the Lagrange-mesh method [5][6][7], an approximate variational approach taking the form of a system of mesh equations by computing the Hamiltonian and overlap matrix elements with a Gauss quadrature. Using the coordinates (u, v, w) is essential for an easy treatment of the confinement and an high accuracy of the Gauss quadrature.…”
mentioning
confidence: 99%