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21: 15.11 Riemann’s Differential Equation
The importance of (15.10.1) is that any homogeneous linear differential equation of the second order with at most three distinct singularities, all regular, in the extended plane can be transformed into (15.10.1). …
§15.11(ii) Transformation Formulas
The reduction of a general homogeneous linear differential equation of the second order with at most three regular singularities to the hypergeometric differential equation is given by …
22: Philip J. Davis
He also had a big influence on the development of the NBS Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables (A&S), which became one of the most widely distributed and highly cited publications in NIST’s history. … This immediately led to discussions among some of the project members about what might be possible, and the discovery that some interactive graphics work had already been done for the NIST Matrix Market, a publicly available repository of test matrices for comparing the effectiveness of numerical linear algebra algorithms. …
23: Bibliography F
  • J. P. M. Flude (1998) The Edmonds asymptotic formulas for the 3 j and 6 j symbols. J. Math. Phys. 39 (7), pp. 3906–3915.
  • G. Freud (1976) On the coefficients in the recursion formulae of orthogonal polynomials. Proc. Roy. Irish Acad. Sect. A 76 (1), pp. 1–6.
  • R. Fuchs (1907) Über lineare homogene Differentialgleichungen zweiter Ordnung mit drei im Endlichen gelegenen wesentlich singulären Stellen. Math. Ann. 63 (3), pp. 301–321.
  • 24: 1.2 Elementary Algebra
    where det ( 𝐀 ) is defined by the Leibniz formula
    n Linear Equations in n Unknowns
    If det ( 𝐀 ) 0 the system of n linear equations in n unknowns, … and for the corresponding eigenvectors one has to solve the linear system … Formula (1.2.77) is more generally valid for all square matrices 𝐀 , not necessarily non-defective, see Hall (2015, Thm 2.12).
    25: 3.8 Nonlinear Equations
    If p = 1 and A < 1 , then the convergence is said to be linear or geometric. … …
    Regula Falsi
    Inverse linear interpolation (§3.3(v)) is used to obtain the first approximation: … This is useful when f ( z ) satisfies a second-order linear differential equation because of the ease of computing f ′′ ( z n ) . …
    26: Bibliography H
  • A. J. S. Hamilton (2001) Formulae for growth factors in expanding universes containing matter and a cosmological constant. Monthly Notices Roy. Astronom. Soc. 322 (2), pp. 419–425.
  • G. H. Hardy and S. Ramanujan (1918) Asymptotic formulae in combinatory analysis. Proc. London Math. Soc. (2) 17, pp. 75–115.
  • K. Horata (1989) An explicit formula for Bernoulli numbers. Rep. Fac. Sci. Technol. Meijo Univ. 29, pp. 1–6.
  • F. T. Howard (1996a) Explicit formulas for degenerate Bernoulli numbers. Discrete Math. 162 (1-3), pp. 175–185.
  • J. H. Hubbard and B. B. Hubbard (2002) Vector Calculus, Linear Algebra, and Differential Forms: A Unified Approach. 2nd edition, Prentice Hall Inc., Upper Saddle River, NJ.
  • 27: 24.5 Recurrence Relations
    §24.5 Recurrence Relations
    §24.5(iii) Inversion Formulas
    28: 19.29 Reduction of General Elliptic Integrals
    Cubic cases of these formulas are obtained by setting one of the factors in (19.29.3) equal to 1. … (19.29.7) subsumes all 72 formulas in Gradshteyn and Ryzhik (2000, 3.168), and its cubic cases similarly replace the 18 + 36 + 18 = 72 formulas in Gradshteyn and Ryzhik (2000, 3.133, 3.142, and 3.141(1-18)). … I ( 𝐦 ) can be reduced to a linear combination of basic integrals and algebraic functions. … The first choice gives a formula that includes the 18+9+18 = 45 formulas in Gradshteyn and Ryzhik (2000, 3.133, 3.156, 3.158), and the second choice includes the 8+8+8+12 = 36 formulas in Gradshteyn and Ryzhik (2000, 3.151, 3.149, 3.137, 3.157) (after setting x 2 = t in some cases). … The first formula replaces (19.14.4)–(19.14.10). …
    29: 1.3 Determinants, Linear Operators, and Spectral Expansions
    §1.3 Determinants, Linear Operators, and Spectral Expansions
    Krattenthaler’s Formula
    §1.3(iv) Matrices as Linear Operators
    Linear Operators in Finite Dimensional Vector Spaces
    Square matices can be seen as linear operators because 𝐀 ( α 𝐚 + β 𝐛 ) = α 𝐀 𝐚 + β 𝐀 𝐛 for all α , β and 𝐚 , 𝐛 𝐄 n , the space of all n -dimensional vectors. …
    30: Bibliography T
  • Y. Takei (1995) On the connection formula for the first Painlevé equation—from the viewpoint of the exact WKB analysis. Sūrikaisekikenkyūsho Kōkyūroku (931), pp. 70–99.
  • P. G. Todorov (1991) Explicit formulas for the Bernoulli and Euler polynomials and numbers. Abh. Math. Sem. Univ. Hamburg 61, pp. 175–180.
  • L. N. Trefethen and D. Bau (1997) Numerical Linear Algebra. Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA.
  • S. A. Tumarkin (1959) Asymptotic solution of a linear nonhomogeneous second order differential equation with a transition point and its application to the computations of toroidal shells and propeller blades. J. Appl. Math. Mech. 23, pp. 1549–1565.