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Error Functions – Approximations and Implementations with modern FORTRAN

Impresion
EUR 78,21

E-Book
EUR 54,75

Error Functions – Approximations and Implementations with modern FORTRAN (Tienda española)

Thomas Höring (Autor)

The Error Function is used in many areas of mathematics, statistics, science and scientific applications such as error probability in signal detection, option pricing, diffusion, heat equation, modeling of magnetization, transitions between two planes, nonlinearities in the amplifier, rubbery materials and soft tissue.
Error Functions, Volume I: erf, erfc and erfcx is the first comprehensive collection of multi-precision implementations in modern module-oriented FORTRAN for GFortran and Silverfrost FTN 95.
The precision of many functions is up to 32 digits. New functions, especially for the scaled complementary error function (erfcx), show better performance than some standard intrinsic functions.
The implementation methods are mainly rational functions, Chebyshev series and rational Chebyshev functions, series expansions and continued fractions.
A menu-driven test program guides through the various error functions. The complete source code of all functions and the test program is available.

ISBN-13 (Impresion) 978-3-68952-774-7
ISBN-13 (E-Book) 978-3-68952-775-4
Idioma Inglés
Numero de paginas 255
Edicion 1
Lugar de publicacion Göttingen
Fecha de publicacion 06.03.2025
Clasificacion simple Libro de divulgacion
Area Común
Palabras claves error function, Fehlerfunktion, erf, complementary error function, komplementäre Fehlerfunktion, erfc, scaled complementary error function, skalierte komplementäre Fehlerfunktion, erfcx, Fortran, GNU FORTRAN, SILVERFROST FTN95, source code, Quellcode, multi-precision, high precision, high accuracy, RationalFunction, Rationale Funktion, Chebyshev Series, Chebyshev Expansion, Rational Chebyshev Approximation, Maclaurin Expansion, Series Expansion, Power Expansion, Reihenentwicklung, Continued Fraction, Kettenbruch, Padé approximation, Approximation, Implementation, Algorithm, Algorithmus,