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Detail publikačního výsledku
SADÍLEK, V.; CHUDOBA, R.; VOŘECHOVSKÝ, M.; RYPL, R.
Originální název
SPIRRID -- tool for estimation of statistical characteristics of function with multivariate random inputs
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This paper is a promotion of a recently published journal paper. The paper presents application of known mathematical methods and computational techniques for the numerical integration in the computational tool SPIRRID (Python package) for efficient and flexible evaluation of the statistical characteristics of functions with multivariate random inputs developed in high-level programming language Python. The paper describes mathematical formulation of the estimation of the statistical characteristics, design of an object oriented architecture of the package and results of performance studies. The code of this computational tool including examples and the results of performance studies is available via the free Github repository.
Anglický abstrakt
Klíčová slova
Python, Enthought Traits, NumPy, SciPy, C, statistical characteristics, multidimensional integration
Klíčová slova v angličtině
Autoři
Rok RIV
2012
Vydáno
07.09.2012
Nakladatel
WSEAS Press
Místo
Sliema, Malta
ISBN
978-1-61804-117-3
Kniha
Advances in Mathematical and Computational Methods
ISSN
2227-4588
Periodikum
Stát
Řecká republika
Strany od
275
Strany do
280
Strany počet
6
BibTex
@inproceedings{BUT89680, author="Václav {Sadílek} and Rostislav {Chudoba} and Miroslav {Vořechovský} and Rostislav {Rypl}", title="SPIRRID -- tool for estimation of statistical characteristics of function with multivariate random inputs", booktitle="Advances in Mathematical and Computational Methods", year="2012", journal="Advances in Mathematical and Computational Methods", pages="275--280", publisher="WSEAS Press", address="Sliema, Malta", isbn="978-1-61804-117-3", issn="2227-4588" }