ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.04800
  4. Cited By
Automatic selection of basis-adaptive sparse polynomial chaos expansions
  for engineering applications

Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications

10 September 2020
Nora Lüthen
S. Marelli
Bruno Sudret
ArXivPDFHTML

Papers citing "Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications"

6 / 6 papers shown
Title
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Nora Lüthen
S. Marelli
Bruno Sudret
36
152
0
04 Feb 2020
Sparse Polynomial Chaos Expansions via Compressed Sensing and D-optimal
  Design
Sparse Polynomial Chaos Expansions via Compressed Sensing and D-optimal Design
Paul Diaz
Alireza Doostan
Jerrad Hampton
38
100
0
29 Dec 2017
Basis Adaptive Sample Efficient Polynomial Chaos (BASE-PC)
Basis Adaptive Sample Efficient Polynomial Chaos (BASE-PC)
Jerrad Hampton
Alireza Doostan
26
43
0
03 Feb 2017
Divide and Conquer: An Incremental Sparsity Promoting Compressive
  Sampling Approach for Polynomial Chaos Expansions
Divide and Conquer: An Incremental Sparsity Promoting Compressive Sampling Approach for Polynomial Chaos Expansions
Negin Alemazkoor
Hadi Meidani
28
26
0
21 Jun 2016
Metamodel-based sensitivity analysis: Polynomial chaos expansions and
  Gaussian processes
Metamodel-based sensitivity analysis: Polynomial chaos expansions and Gaussian processes
Loic Le Gratiet
S. Marelli
Bruno Sudret
49
157
0
14 Jun 2016
Global sensitivity analysis using low-rank tensor approximations
Global sensitivity analysis using low-rank tensor approximations
K. Konakli
Bruno Sudret
32
77
0
29 May 2016
1