Sparse Grid Interpolation
The Sparse Grid Interpolation Toolbox is a Matlab toolbox for recovering (approximating) expensive, possibly high-dimensional multivariate functions.
Keywords for this software
References in zbMATH (referenced in 34 articles )
Showing results 1 to 20 of 34.
Sorted by year (- Castrillón-Candás, Julio E.; Nobile, Fabio; Tempone, Raúl F.: A hybrid collocation-perturbation approach for PDEs with random domains (2021)
- Castrillón-Candás, Julio E.; Xu, Jie: A stochastic collocation approach for parabolic PDEs with random domain deformations (2021)
- Dolgov, Sergey; Kressner, Daniel; Strössner, Christoph: Functional Tucker approximation using Chebyshev interpolation (2021)
- Castrillón-Candás, Julio E.; Kon, Mark: Analytic regularity and stochastic collocation of high-dimensional Newton iterates (2020)
- Chen, Chen; Liao, Qifeng: ANOVA Gaussian process modeling for high-dimensional stochastic computational models (2020)
- Li, Luyi; Liu, Yushan; Shi, Zhaoyin; Wang, Pan: Multivariate sensitivity analysis for dynamic models with both random and random process inputs (2020)
- Litvinenko, Alexander; Logashenko, Dmitry; Tempone, Raul; Wittum, Gabriel; Keyes, David: Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability (2020)
- Dolgov, Sergey; Scheichl, Robert: A hybrid alternating least squares-TT-cross algorithm for parametric PDEs (2019)
- Khan, Arbaz; Powell, Catherine E.; Silvester, David J.: Robust preconditioning for stochastic Galerkin formulations of parameter-dependent nearly incompressible elasticity equations (2019)
- Chen, Luoping; Chen, Yanping; Liu, Xiong: A two-level sparse grid collocation method for semilinear stochastic elliptic equation (2018)
- Elman, Howard C.; Silvester, David J.: Collocation methods for exploring perturbations in linear stability analysis (2018)
- Martínez-Frutos, Jesús; Periago Esparza, Francisco: Optimal control of PDEs under uncertainty. An introduction with application to optimal shape design of structures (2018)
- Sai, Aditya; Kong, Nan: Characterising model dynamics using sparse grid interpolation: parameter estimation of cholera (2018)
- Wang, Xinsheng; Yu, Mingyan; Wang, Chenxu: Structure-preserving-based model-order reduction of parameterized interconnect systems (2018)
- Hou, Thomas Y.; Li, Qin; Zhang, Pengchuan: Exploring the locally low dimensional structure in solving random elliptic PDEs (2017)
- Castrillón-Candás, Julio E.; Nobile, Fabio; Tempone, Raúl F.: Analytic regularity and collocation approximation for elliptic PDEs with random domain deformations (2016)
- Lewis, Allison; Smith, Ralph; Williams, Brian: Gradient free active subspace construction using Morris screening elementary effects (2016)
- Liao, Qifeng; Lin, Guang: Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs (2016)
- Berrone, S.; Canuto, C.; Pieraccini, S.; Scialò, S.: Uncertainty quantification in discrete fracture network models: stochastic fracture transmissivity (2015)
- Elman, Howard C.; Forstall, Virginia: Preconditioning techniques for reduced basis methods for parameterized elliptic partial differential equations (2015)