SPIRRID - Tool for estimation of statistical characteristics of multivariate random functions (Python package)

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F14%3APR28052" target="_blank" >RIV/00216305:26110/14:PR28052 - isvavai.cz</a>

Result on the web

<a href="http://stm.fce.vutbr.cz/equipment.php" target="_blank" >http://stm.fce.vutbr.cz/equipment.php</a>

DOI - Digital Object Identifier

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Result language

čeština

Original language name

SPIRRID - Tool for estimation of statistical characteristics of multivariate random functions (Python package)

Original language description

SPIRRID - Tool for estimation of statistical characteristics of multivariate random functions (Python package). The implementation of the SPIRRID is highly configurable and provides the following features: - The class SPIRRID can be configured for an arbitrary response function q(e = [], theta = []). The function q(e, theta) must be a "callable" object and must have one or more control variables e and one or more parameters theta. - The parameters and randomization are specified using the tvars trait attribute. They are instances of the RV class representing a random variable that can be associated with probabilistic distribution from scipy.stats.distribution package. - There are four sampling schemes that can be specified using the sampling_type traitattribute. - The execution of the integration may be done using the numpy implementation or using a compiled C-code implementation . - The control variable e can be n-dimensional

Czech name

SPIRRID - Tool for estimation of statistical characteristics of multivariate random functions (Python package)

Czech description

SPIRRID - Tool for estimation of statistical characteristics of multivariate random functions (Python package). The implementation of the SPIRRID is highly configurable and provides the following features: - The class SPIRRID can be configured for an arbitrary response function q(e = [], theta = []). The function q(e, theta) must be a "callable" object and must have one or more control variables e and one or more parameters theta. - The parameters and randomization are specified using the tvars trait attribute. They are instances of the RV class representing a random variable that can be associated with probabilistic distribution from scipy.stats.distribution package. - There are four sampling schemes that can be specified using the sampling_type traitattribute. - The execution of the integration may be done using the numpy implementation or using a compiled C-code implementation . - The control variable e can be n-dimensional

Type

R - Software

CEP classification

JN - Civil engineering

OECD FORD branch

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Project

<a href="/en/project/EE2.3.30.0005" target="_blank" >EE2.3.30.0005: Support of Interdisciplinary Excellence Research Teams Establishment at BUT</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Internal product ID

SPIRRID

Technical parameters

odpovědná osoba: Václav Sadílek e-mail: sadilek.v@fce.vutbr.cz

Economical parameters

bezplatné použití, ekonomický dopad nelze obecne kvantifikovat.

Owner IČO

00216305

Owner name

Ústav stavební mechaniky