计算机科学
模块化设计
MATLAB语言
接口(物质)
概率逻辑
领域(数学)
软件工程
不确定度量化
软件
简单(哲学)
系统工程
软件框架
应用程序编程接口
分布式计算
软件开发
计算科学
程序设计语言
基于构件的软件工程
工程类
人工智能
机器学习
操作系统
气泡
数学
纯数学
哲学
最大气泡压力法
认识论
作者
Stefano Marelli,Bruno Sudret
标识
DOI:10.1061/9780784413609.257
摘要
Uncertainty quantification is a rapidly growing field in computer simulation-based scientific applications. The UQLab project aims at the development of a Matlab-based software framework for uncertainty quantification. It is designed to encourage both academic researchers and field engineers to use and develop advanced and innovative algorithms for uncertainty quantification, possibly exploiting modern distributed computing facilities. Ease of use, extendibility and handling of non-intrusive stochastic methods are core elements of its development philosophy. The modular platform comprises a highly optimized core probabilistic modelling engine and a simple programming interface that provides unified access to heterogeneous high performance computing resources. Finally, it provides a content-management system that allows users to easily develop additional custom modules within the framework. In this contribution, we intend to demonstrate the features of the platform at its current development stage.
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