Using Python for scientific computing: Efficient and flexible evaluation of the statistical characteristics of functions with multivariate random inputs-Reference-Cited by-同舟云学术

Using Python for scientific computing: Efficient and flexible evaluation of the statistical characteristics of functions with multivariate random inputs

Published:2013-02 Issue:2 Volume:184 Page:414-427
ISSN:0010-4655
Container-title:Computer Physics Communications
language:en
Short-container-title:Computer Physics Communications

Author:

Chudoba R.,Sadílek V.,Rypl R.,Vořechovský M.

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Hardware and Architecture

Reference28 articles.

1. SPIRRID: tool for estimation of statistical characteristics of multi-variate random functions, http://github.com/simvisage/spirrid, 2011.

2. Instructional use of MATLAB software components for computational structural engineering applications;Krysl;International Journal of Engineering Education,2005

3. A Primer on Scientific Programming with Python;Langtangen,2009

4. A case study in high-performance mixed-language programming;Langtangen,2007

5. On the efficiency of Python for high-performance computing: a case study involving stencil updates for partial differential equations;Langtangen,2008

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stratified sample tiling;Advances in Engineering Software;2024-03

2. Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces;Computer Methods in Applied Mechanics and Engineering;2022-11

3. Concrete splitting and tip-bearing effect in the bond of anchored bars tested under fatigue loading in the push-in mode: An experimental investigation;Materials and Structures;2022-04

4. Modelling the spread of resistance to Varroa in Australian feral honeybee populations;2022-02-10

5. Fracture mechanics based interpretation of the load sequence effect in the flexural fatigue behavior of concrete using digital image correlation;Construction and Building Materials;2021-11