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In numerical analysis, Lebedev quadrature, named after Vyacheslav Ivanovich Lebedev, is an approximation to the surface integral of a function over a three-dimensional sphere. The grid is constructed so to have octahedral rotation and inversion symmetry. The number and location of the grid points together with a corresponding set of integration weights are determined by enforcing the exact integration of polynomials (or equivalently, spherical harmonics) up to a given order, leading to a sequence of increasingly dense grids analogous to the one-dimensional Gauss-Legendre scheme. The Lebedev grid is often employed in the numerical evaluation of volume integrals in the spherical coordinate system, where it is combined with a one-dimensional integration scheme for the radial coordinate. Applications of the grid are found in fields such as computational chemistry and neutron transport. ==Angular integrals== The surface integral of a function over the unit sphere, : is approximated in the Lebedev scheme as : where the particular grid points and grid weights are to be determined. The use of a single sum, rather than two one dimensional schemes from discretizing the ''θ'' and ''φ'' integrals individually, leads to more efficient procedure: fewer total grid points are required to obtain similar accuracy. A competing factor is the computational speedup available when using the direct product of two one-dimensional grids. Despite this, the Lebedev grid still outperforms product grids. However, the use of two one-dimensional integration better allows for fine tuning of the grids, and simplifies the use of any symmetry of the integrand to remove symmetry equivalent grid points. 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Lebedev quadrature」の詳細全文を読む スポンサード リンク
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