Numerical moment matching stabilized by a genetic algorithm for engineering data squashing and fast uncertainty quantification-Reference-Cited by-同舟云学术

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Numerical moment matching stabilized by a genetic algorithm for engineering data squashing and fast uncertainty quantification

Published:2018-07 Issue: Volume:204 Page:31-47
ISSN:0045-7949
Container-title:Computers & Structures
language:en
Short-container-title:Computers & Structures

Author:

Cho In Ho,Song Ikkyun,Teng Ya Lu

Funder

Department of Civil, Construction, and Environmental Engineering of Iowa State University

NSF

Willis Research Network

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,General Materials Science,Modeling and Simulation,Civil and Structural Engineering

Reference38 articles.

1. DuMouchel W, Volinsky C, Johnson T, Cortes C, Pregibon D. Squashing flat files flatter. In: Proceeding of the fifth ACM conference on knowledge discovery and data mining; 1999. p. 6–15.

2. Monte Carlo: concepts, algorithms, and applications;Fishman,1996

3. Caflisch RE. Monte Carlo and quasi-Monte Carlo methods. Acta Numer 1998;7 [Cambridge University Press].

4. The Monte Carlo method in condensed matter physics;Binder,1995

5. Point estimates for probability moments;Rosenblueth;Proc Natl Acad Sci,1975

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