Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications

Reliable Computing - Netherlands
doi 10.1007/s11155-006-9021-6
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Examples of Monte Carlo Techniques Applied for Nuclear Data Uncertainty Propagation

EPJ Web of Conferences
AstronomyPhysics
2019English

A Copula-Based and Monte Carlo Sampling Approach for Structural Dynamics Model Updating With Interval Uncertainty

Shock and Vibration
Mechanics of MaterialsGeotechnical EngineeringCondensed Matter PhysicsMechanical EngineeringCivilEngineering GeologyStructural Engineering
2018English

Monte Carlo Uncertainty Propagation With the NIST Uncertainty Machine

Journal of Chemical Education
ChemistryEducation
2020English

Uncertainty Modeling of Random and Systematic Errors by Means of Monte Carlo and Fuzzy Techniques

Journal of Applied Geodesy
EarthEngineeringPlanetary SciencesSimulationModeling
2009English

Thematic Cycle on Monte-Carlo Techniques

ESAIM: Proceedings and Surveys
2017English

Monte Carlo Techniques in Radiation Therapy

Medical Physics
MedicineNuclear MedicineRadiologyImagingBiophysics
2015English

Optimally Combining Sampling Techniques for Monte Carlo Rendering

1995English

Markov Chain Monte Carlo Methods for Uncertainty Propagation and Reliability Analysis

2017English

Advanced Seismic Processing/Imaging Techniques and Their Potential for Geothermal Exploration

Interpretation
GeophysicsGeology
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy