泰勒级数
系列(地层学)
随机变量
计算机科学
统计物理学
数学
统计
应用数学
计量经济学
数学分析
物理
地质学
古生物学
作者
Lukăš Novák,Drahom ́ír Novák
出处
期刊:Nucleation and Atmospheric Aerosols
日期:2020-01-01
摘要
The paper is focused on reliability analysis of time-consuming mathematical models utilizing approximation in form of Taylor series expansion. Statistical analysis is crucial part of reliability analysis of structures but it is still challenging to analyze time-consuming mathematical models, e.g. represented by finite element method in implicit form. Efficient alternative is an approximation of original model by explicit function in specific form. The paper is focused on approximation by Taylor series expansion for statistical analysis of functions of random variables. Although it is common to use Taylor series expansion for functions of uncorrelated random variables, it is challenging to utilize Taylor series for correlated variables and highly non-linear functions. Therefore, possibilities and pitfalls of such approach are herein discussed from engineers point of view.
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