Detail publikace

SPIRRID -- tool for estimation of statistical characteristics of function with multivariate random inputs

SADÍLEK, V. CHUDOBA, R. VOŘECHOVSKÝ, M. RYPL, R.

Originální název

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

Python, Enthought Traits, NumPy, SciPy, C, statistical characteristics, multidimensional integration

Autoři

SADÍLEK, V.; CHUDOBA, R.; VOŘECHOVSKÝ, M.; RYPL, R.

Rok RIV

2012

Vydáno

7. 9. 2012

Nakladatel

WSEAS Press

Místo

Sliema, Malta

ISBN

978-1-61804-117-3

Kniha

Advances in Mathematical and Computational Methods

ISSN

2227-4588

Periodikum

Advances in Mathematical and Computational Methods

Stát

Řecká republika

Strany od

275

Strany do

280

Strany počet

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"
}