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High-Dimensional Stochastic Design Optimization by Adaptive-Sparse Polynomial Dimensional Decomposition

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Cover of 'High-Dimensional Stochastic Design Optimization by Adaptive-Sparse Polynomial Dimensional Decomposition'

Table of Contents

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    Book Overview
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    Chapter 1 Adaptive Sparse Grid Model Order Reduction for Fast Bayesian Estimation and Inversion
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    Chapter 2 From Data to Uncertainty: An Efficient Integrated Data-Driven Sparse Grid Approach to Propagate Uncertainty
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    Chapter 3 Combination Technique Based Second Moment Analysis for Elliptic PDEs on Random Domains
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    Chapter 4 Adaptive Sparse Grids and Extrapolation Techniques
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    Chapter 5 A Cache-Optimal Alternative to the Unidirectional Hierarchization Algorithm
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    Chapter 6 Spatially-Dimension-Adaptive Sparse Grids for Online Learning
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    Chapter 7 Sparse Grids for the Vlasov–Poisson Equation
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    Chapter 8 An Adaptive Sparse Grid Algorithm for Elliptic PDEs with Lognormal Diffusion Coefficient
  10. Altmetric Badge
    Chapter 9 A New Subspace-Based Algorithm for Efficient Spatially Adaptive Sparse Grid Regression, Classification and Multi-evaluation
  11. Altmetric Badge
    Chapter 10 High-Dimensional Stochastic Design Optimization by Adaptive-Sparse Polynomial Dimensional Decomposition
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    Chapter 11 Efficient Spectral-Element Methods for the Electronic Schrödinger Equation
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    Chapter 12 A Sparse Grid Method for Bayesian Uncertainty Quantification with Application to Large Eddy Simulation Turbulence Models
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    Chapter 13 Hierarchical Gradient-Based Optimization with B-Splines on Sparse Grids
Overall attention for this book and its chapters
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Mentioned by

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2 X users

Citations

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7 Dimensions

Readers on

mendeley
12 Mendeley
Summary X Dimensions citations
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Title
High-Dimensional Stochastic Design Optimization by Adaptive-Sparse Polynomial Dimensional Decomposition
Published by
arXiv, January 2016
DOI 10.1007/978-3-319-28262-6
ISBNs
978-3-31-928260-2, 978-3-31-928262-6
Authors

Sharif Rahman, Xuchun Ren, Vaibhav Yadav

Editors

Garcke, Jochen, Pflüger, Dirk

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Researcher 2 17%
Student > Bachelor 1 8%
Lecturer 1 8%
Professor 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Engineering 6 50%
Mathematics 2 17%
Decision Sciences 1 8%
Design 1 8%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 January 2016.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from arXiv
#526,338
of 938,014 outputs
Outputs of similar age
#303,524
of 406,690 outputs
Outputs of similar age from arXiv
#6,081
of 12,307 outputs
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So far Altmetric has tracked 938,014 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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We're also able to compare this research output to 12,307 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.

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