Remez second algorithm
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1: Bibliography R
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Rational Chebyshev approximation by Remes’ algorithms.
Numer. Math. 7 (4), pp. 322–330.
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Remark on Algorithm 498: Airy functions using Chebyshev series approximations.
ACM Trans. Math. Software 7 (3), pp. 404–405.
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Elliptic Integrals of the First and Second Kind – Comparison of Bulirsch’s and Carlson’s Algorithms for Numerical Calculation.
In Special Functions (Hong Kong, 1999), C. Dunkl, M. Ismail, and R. Wong (Eds.),
pp. 293–308.
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General Computation Methods of Chebyshev Approximation. The Problems with Linear Real Parameters.
Publishing House of the Academy of Science of the Ukrainian SSR, Kiev.
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Precision controlled trigonometric algorithms.
Appl. Math. Comput. 2 (4), pp. 335–352.
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2: 3.11 Approximation Techniques
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►A widely implemented and used algorithm for calculating the coefficients and in (3.11.16) is Remez’s second algorithm.
See Remez (1957), Werner et al. (1967), and Johnson and Blair (1973).
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►is of fundamental importance in the FFT algorithm.
…For further details and algorithms, see Van Loan (1992).
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3: 31.14 General Fuchsian Equation
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►The general second-order Fuchsian equation with regular singularities at , , and at , is given by
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§31.14(ii) Kovacic’s Algorithm
►An algorithm given in Kovacic (1986) determines if a given (not necessarily Fuchsian) second-order homogeneous linear differential equation with rational coefficients has solutions expressible in finite terms (Liouvillean solutions). The algorithm returns a list of solutions if they exist. ►For applications of Kovacic’s algorithm in spatio-temporal dynamics see Rod and Sleeman (1995).4: 27.19 Methods of Computation: Factorization
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►Deterministic algorithms are slow but are guaranteed to find the factorization within a known period of time.
…Fermat’s algorithm is another; see Bressoud (1989, §5.1).
►Type I probabilistic algorithms include the Brent–Pollard rho algorithm (also called Monte Carlo method), the Pollard
algorithm, and the Elliptic Curve Method (ecm).
Descriptions of these algorithms are given in Crandall and Pomerance (2005, §§5.2, 5.4, and 7.4).
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►These algorithms include the Continued Fraction Algorithm (cfrac), the Multiple Polynomial Quadratic Sieve (mpqs), the General
Number Field Sieve (gnfs), and the Special Number Field Sieve (snfs).
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5: Bibliography G
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Evaluation of -gamma function and -analogues by iterative algorithms.
Numer. Algorithms 49 (1-4), pp. 159–168.
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A continued fraction algorithm for the computation of higher transcendental functions in the complex plane.
Math. Comp. 21 (97), pp. 18–29.
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Algorithm 292: Regular Coulomb wave functions.
Comm. ACM 9 (11), pp. 793–795.
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Algorithm 471: Exponential integrals.
Comm. ACM 16 (12), pp. 761–763.
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Algorithm 542: Incomplete gamma functions.
ACM Trans. Math. Software 5 (4), pp. 482–489.
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6: Bibliography T
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An algorithm with ALGOL 60 program for the computation of the zeros of ordinary Bessel functions and those of their derivatives.
J. Comput. Phys. 32 (2), pp. 270–279.
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A set of algorithms for the incomplete gamma functions.
Probab. Engrg. Inform. Sci. 8, pp. 291–307.
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Numerical algorithms for uniform Airy-type asymptotic expansions.
Numer. Algorithms 15 (2), pp. 207–225.
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Algorithm 165: Complete elliptic integrals.
Comm. ACM 6 (4), pp. 163–164.
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Erratum to “COULCC: A continued-fraction algorithm for Coulomb functions of complex order with complex arguments”.
Comput. Phys. Comm. 159 (3), pp. 241–242.
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7: Bibliography Z
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Algorithm 916: computing the Faddeyeva and Voigt functions.
ACM Trans. Math. Software 38 (2), pp. Art. 15, 22.
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Remark on “Algorithm 916: computing the Faddeyeva and Voigt functions”: efficiency improvements and Fortran translation.
ACM Trans. Math. Softw. 42 (3), pp. 26:1–26:9.
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Algorithm 985: Simple, Efficient, and Relatively Accurate Approximation for the Evaluation of the Faddeyeva Function.
ACM Trans. Math. Softw. 44 (2), pp. 22:1–22:9.
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Doron Zeilberger’s Maple Packages and Programs
Department of Mathematics, Rutgers University, New Jersey.
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A fast Fourier-Bessel transform algorithm.
Zh. Vychisl. Mat. i Mat. Fiz. 35 (7), pp. 1128–1133 (Russian).
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8: Bibliography O
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Hyperasymptotic solutions of second-order linear differential equations. I.
Methods Appl. Anal. 2 (2), pp. 173–197.
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Note on backward recurrence algorithms.
Math. Comp. 26 (120), pp. 941–947.
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Error analysis of Miller’s recurrence algorithm.
Math. Comp. 18 (85), pp. 65–74.
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Second-order differential equations with fractional transition points.
Trans. Amer. Math. Soc. 226, pp. 227–241.
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Algorithm 22: Riccati-Bessel functions of first and second kind.
Comm. ACM 3 (11), pp. 600–601.
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9: 3.6 Linear Difference Equations
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§3.6(iii) Miller’s Algorithm
… ►For further information on Miller’s algorithm, including examples, convergence proofs, and error analyses, see Wimp (1984, Chapter 4), Gautschi (1967, 1997b), and Olver (1964a). … ►§3.6(v) Olver’s Algorithm
… ►The backward recursion can be carried out using independently computed values of and or by use of Miller’s algorithm (§3.6(iii)) or Olver’s algorithm (§3.6(v)). …10: 19.39 Software
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►In this section we provide links to the research literature describing the implementation of algorithms in software for the evaluation of functions described in this chapter.
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►Unless otherwise stated, the functions are and , with .
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►Unless otherwise stated, the variables are real, and the functions are and .
►For research software see Bulirsch (1965b, function ), Bulirsch (1969b, function ), Jefferson (1961), and Neuman (1969a, functions and ).
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