Numerical Methods for Special FunctionsSIAM, 2007 M01 1 - 431 páginas This book provides an overview of numerical methods for computing special functions and discusses when to use these methods depending on the function and the range of parameters. It considers not only standard and simple parameter domains, but also describes methods valid for large and complex parameters. While its focus is on the computation of special functions, it is also suitable for general numerical analysis courses. The authors provide pseudoalgorithms to help students write their own algorithms, and also discuss other useful and efficient methods, such as methods for computing zeros of special functions, uniform asymptotic expansions and Pad? approximations. It also includes specific algorithms for computing several special functions. Intended for researchers in applied mathematics, scientific computing, physics, engineering, statistics, and other scientific disciplines in which special functions are used as computational tools. |
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Otras ediciones - Ver todas
Numerical Methods for Special Functions Amparo Gil,Javier Segura,Nico M. Temme Vista previa limitada - 2007 |
Términos y frases comunes
accuracy Ai(z Airy functions Airy-type algorithm analytic applied asymptotic expansions backward recursion behavior Bi(z Chapter Chebyshev expansions Chebyshev polynomials coefficients complex plane computing consider continued fraction contour convergence defined degree of exactness derivatives dominant solution eigenvalue erfc error function evaluation example exponential finite fixed point method follows formula Gauss quadrature given gives hypergeometric functions incomplete gamma function independent solutions integral representations integrand interpolation interval inversion iteration large values linear Maclaurin series Math matrix minimal solution modified Bessel functions nodes numerical obtain orthogonal polynomials Padé approximants parabolic cylinder functions parameter polynomial of degree power series quadrature rule ratio recurrence relation relative error saddle point satisfy sequence transformations singular point special functions starting values Theorem trapezoidal rule TTRR variable write Wronskian zeros
