Sparse grids and applications -- Stuttgart 2014. Collected contributions of the 3rd workshop, SGA 2014, Stuttgart, Germany, September 1--5, 2014

DOI10.1007/978-3-319-28262-6zbMath1342.65002arXiv1601.02640OpenAlexW2762305195WikidataQ57732157 ScholiaQ57732157MaRDI QIDQ261496

Sharif Rahman, Xuchun Ren, Vaibhav Yadav

Publication date: 23 March 2016

Published in: Lecture Notes in Computational Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1601.02640

Mathematics Subject Classification ID

Related Items (1)

A general approach to generate random variates for multivariate copulae

Uses Software

• PATSYM
• HRMSYM

Cites Work

• Robust design with arbitrary distributions using Gauss-type quadrature formula
• Robust design optimization by polynomial dimensional decomposition
• Adaptive-sparse polynomial dimensional decomposition methods for high-dimensional stochastic computing
• The jackknife estimate of variance
• Fully symmetric interpolatory rules for multiple integrals over infinite regions with Gaussian weight
• ORTHOGONAL POLYNOMIAL EXPANSIONS FOR SOLVING RANDOM EIGENVALUE PROBLEMS
• A polynomial dimensional decomposition for stochastic computing
• The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
• Sparse grids
• A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics
• A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

This page was built for publication: Sparse grids and applications -- Stuttgart 2014. Collected contributions of the 3rd workshop, SGA 2014, Stuttgart, Germany, September 1--5, 2014