The following pages link to Chaospy (Q42937):
Displaying 12 items.
- A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness (Q1987969) (← links)
- Emulation of CPU-demanding reactive transport models: a comparison of Gaussian processes, polynomial chaos expansion, and deep neural networks (Q2009855) (← links)
- Korali: efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization (Q2072427) (← links)
- Cluster Gauss-Newton method. An algorithm for finding multiple approximate minimisers of nonlinear least squares problems with applications to parameter estimation of pharmacokinetic models (Q2138298) (← links)
- Propagation of hydropeaking waves in heterogeneous aquifers: effects on flow topology and uncertainty quantification (Q2164339) (← links)
- A computational framework of kinematic accuracy reliability analysis for industrial robots (Q2174691) (← links)
- A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures (Q2237801) (← links)
- Variance-based adaptive sequential sampling for polynomial chaos expansion (Q2246308) (← links)
- Quantifying the uncertainty in a hyperelastic soft tissue model with stochastic parameters (Q2306756) (← links)
- Accelerating Monte Carlo estimation with derivatives of high-level finite element models (Q2309798) (← links)
- Multivariate Polynomial Chaos Expansions with Dependent Variables (Q4602895) (← links)
- (Q5074961) (← links)
