central differences in imaginary direction
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21: 33.23 Methods of Computation
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βΊWhen numerical values of the Coulomb functions are available for some radii, their values for other radii may be obtained by direct numerical integration of equations (33.2.1) or (33.14.1), provided that the integration is carried out in a stable direction (§3.7).
Thus the regular solutions can be computed from the power-series expansions (§§33.6, 33.19) for small values of the radii and then integrated in the direction of increasing values of the radii.
On the other hand, the irregular solutions of §§33.2(iii) and 33.14(iii) need to be integrated in the direction of decreasing radii beginning, for example, with values obtained from asymptotic expansions (§§33.11 and 33.21).
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βΊIn a similar manner to §33.23(iii) the recurrence relations of §§33.4 or 33.17 can be used for a range of values of the integer , provided that the recurrence is carried out in a stable direction (§3.6).
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βΊBardin et al. (1972) describes ten different methods for the calculation of and , valid in different regions of the ()-plane.
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22: 3.6 Linear Difference Equations
23: 3.3 Interpolation
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βΊ
§3.3(iii) Divided Differences
… βΊExplicitly, the divided difference of order is given by …If is analytic in a simply-connected domain , then for , … βΊThis represents the Lagrange interpolation polynomial in terms of divided differences: … βΊThen by using in Newton’s interpolation formula, evaluating and recomputing , another application of Newton’s rule with starting value gives the approximation , with 8 correct digits. …24: 2.11 Remainder Terms; Stokes Phenomenon
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βΊTwo different asymptotic expansions in terms of elementary functions, (2.11.6) and (2.11.7), are available for the generalized exponential integral in the sector .
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βΊOn the other hand, when , is in the left half-plane and
differs from 2 by an exponentially-small quantity.
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βΊWe now compute the forward differences
, , of the moduli of the rounded values of the first 6 neglected terms:
…Multiplying these differences by and summing, we obtain
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βΊHowever, direct numerical transformations need to be used with care.
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25: Simon Ruijsenaars
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βΊ 1948 in Hillegom, The Netherlands) is a Professor of Mathematical Physics at the University of Leeds.
His main research interests cover integrable systems, special functions, analytic difference equations, classical and quantum mechanics, and the relations between these areas.
βΊRuijsenaars served as a Validator for the original release and publication in May 2010 of the NIST Digital Library of Mathematical Functions and the NIST Handbook of Mathematical Functions.
βΊIn November 2015, Ruijsenaars was named Senior Associate Editor of the DLMF and Associate Editor of the following DLMF Chapters
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26: 29.20 Methods of Computation
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βΊThe eigenvalues , , and the Lamé functions , , can be calculated by direct numerical methods applied to the differential equation (29.2.1); see §3.7.
The normalization of Lamé functions given in §29.3(v) can be carried out by quadrature (§3.5).
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βΊThese matrices are the same as those provided in §29.15(i) for the computation of Lamé polynomials with the difference that has to be chosen sufficiently large.
…The numerical computations described in Jansen (1977) are based in part upon this method.
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βΊThe corresponding eigenvectors yield the coefficients in the finite Fourier series for Lamé polynomials.
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27: Qiming Wang
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βΊ 1943 in Shanghai, China) received a degree in Computational Mathematics from Tsinghua University, Beijing, in 1966.
She started to work for NIST in 1990 and was on the staff of the Visualization and Usability Group in the Information Access Division of the Information Technology Laboratory in the National Institute of Standards and Technology when she retired in March, 2008.
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βΊShe has applied VRML and X3D techniques to several different fields including interactive mathematical function visualization, 3D human body modeling, and manufacturing-related modeling.
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28: Daniel W. Lozier
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βΊ 1941 in Portland, Oregon) was the Group Leader of the Mathematical Software Group in the Applied and Computational Mathematics Division of NIST until his retirement in 2013.
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βΊLozier received a degree in mathematics from Oregon State University in 1962 and his Ph.
…in applied mathematics from the University of Maryland, College Park, in 1979.
…Army Engineer Research and Development Laboratory in Virginia on finite-difference solutions of differential equations associated with nuclear weapons effects.
Then he transferred to NIST (then known as the National Bureau of Standards), where he collaborated for several years with the Building and Fire Research Laboratory developing and applying finite-difference and spectral methods to differential equation models of fire growth.
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