کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6874557 687526 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Chaospy: An open source tool for designing methods of uncertainty quantification
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Chaospy: An open source tool for designing methods of uncertainty quantification
چکیده انگلیسی
The paper describes the philosophy, design, functionality, and usage of the Python software toolbox Chaospy for performing uncertainty quantification via polynomial chaos expansions and Monte Carlo simulation. The paper compares Chaospy to similar packages and demonstrates a stronger focus on defining reusable software building blocks that can easily be assembled to construct new, tailored algorithms for uncertainty quantification. For example, a Chaospy user can in a few lines of high-level computer code define custom distributions, polynomials, integration rules, sampling schemes, and statistical metrics for uncertainty analysis. In addition, the software introduces some novel methodological advances, like a framework for computing Rosenblatt transformations and a new approach for creating polynomial chaos expansions with dependent stochastic variables.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational Science - Volume 11, November 2015, Pages 46-57
نویسندگان
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