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31: 32.4 Isomonodromy Problems
β–Ίis a linear system in which 𝐀 and 𝐁 are matrices and Ξ» is independent of z . …
32: Bibliography G
β–Ί
  • P. Gianni, M. Seppälä, R. Silhol, and B. Trager (1998) Riemann surfaces, plane algebraic curves and their period matrices. J. Symbolic Comput. 26 (6), pp. 789–803.
  • β–Ί
  • G. H. Golub and G. Meurant (2010) Matrices, moments and quadrature with applications. Princeton Series in Applied Mathematics, Princeton University Press, Princeton, NJ.
  • 33: 3.8 Nonlinear Equations
    β–ΊFor the computation of zeros of orthogonal polynomials as eigenvalues of finite tridiagonal matrices3.5(vi)), see Gil et al. (2007a, pp. 205–207). For the computation of zeros of Bessel functions, Coulomb functions, and conical functions as eigenvalues of finite parts of infinite tridiagonal matrices, see Grad and ZakrajΕ‘ek (1973), Ikebe (1975), Ikebe et al. (1991), Ball (2000), and Gil et al. (2007a, pp. 205–213). …
    34: Bibliography R
    β–Ί
  • E. M. Rains (1998) Normal limit theorems for symmetric random matrices. Probab. Theory Related Fields 112 (3), pp. 411–423.
  • 35: 35.7 Gaussian Hypergeometric Function of Matrix Argument
    β–Ί
    35.7.2 P Ξ½ ( Ξ³ , Ξ΄ ) ⁑ ( 𝐓 ) = Ξ“ m ⁑ ( Ξ³ + Ξ½ + 1 2 ⁒ ( m + 1 ) ) Ξ“ m ⁑ ( Ξ³ + 1 2 ⁒ ( m + 1 ) ) ⁒ F 1 2 ⁑ ( Ξ½ , Ξ³ + Ξ΄ + Ξ½ + 1 2 ⁒ ( m + 1 ) Ξ³ + 1 2 ⁒ ( m + 1 ) ; 𝐓 ) , 𝟎 < 𝐓 < 𝐈 ; Ξ³ , Ξ΄ , Ξ½ β„‚ ; ⁑ ( Ξ³ ) > 1 .
    β–Ί
    35.7.5 F 1 2 ⁑ ( a , b c ; 𝐓 ) = 1 B m ⁑ ( a , c a ) ⁒ 𝟎 < 𝐗 < 𝐈 | 𝐗 | a 1 2 ⁒ ( m + 1 ) ⁒ | 𝐈 𝐗 | c a 1 2 ⁒ ( m + 1 ) ⁒ | 𝐈 𝐓 ⁒ 𝐗 | b ⁒ d 𝐗 , ⁑ ( a ) , ⁑ ( c a ) > 1 2 ⁒ ( m 1 ) , 𝟎 < 𝐓 < 𝐈 .
    36: Bibliography J
    β–Ί
  • JTEM (website) Java Tools for Experimental Mathematics
  • 37: Bibliography
    β–Ί
  • J. Avron and B. Simon (1982) Singular Continuous Spectrum for a Class of Almost Periodic Jacobi Matrices. Bulletin of the American Mathematical Society 6 (1), pp. 81–85.
  • 38: 3.7 Ordinary Differential Equations
    β–Ί( 𝐈 and 𝟎 being the identity and zero matrices of order 2 × 2 .) …
    39: 18.38 Mathematical Applications
    β–ΊLight and Carrington Jr. (2000) review and extend the one-dimensional analysis to solution of multi-dimensional many-particle systems, where the sparse nature of the resulting matrices is highly advantageous. …
    40: 26.8 Set Partitions: Stirling Numbers
    β–ΊLet A and B be the n × n matrices with ( j , k ) th elements s ⁑ ( j , k ) , and S ⁑ ( j , k ) , respectively. …