maxehre / polynomial_surrogates
Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions via least-angle regression as well as continuous-space low-rank approximations in canonical polyadics format.
☆10Updated 6 years ago
Alternatives and similar repositories for polynomial_surrogates:
Users that are interested in polynomial_surrogates are comparing it to the libraries listed below
- ☆36Updated last year
- Multi-fidelity probability machine learning☆17Updated 2 months ago
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 6 years ago
- The code is used to solve structural reliability analysis problem via the BSC_RLCB method☆10Updated 3 years ago
- an active-learning method for reliability analysis based on multi-fidelity kriging model☆30Updated last year
- ☆36Updated last year
- multi-fidelity neural network☆18Updated last year
- time-variant reliability analysis method☆14Updated 4 years ago
- ☆18Updated last year
- Multi-fidelity Gaussian Process☆25Updated 4 years ago
- ☆47Updated 3 years ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆62Updated 8 years ago
- Multifidelity aeroelastic optimization with application to a BWB☆11Updated 3 years ago
- Multi-fidelity classification with Gaussian process☆15Updated last year
- Gradient-enhanced Kriging surrogate model☆19Updated last year
- MIVor: An innovative adaptive Kriging approach for efficient problem classification.☆18Updated 5 years ago
- all code for this study☆20Updated 4 years ago
- This Matlab files are used to demonstrate on how to perform Reliability-based Design Optimization (RBDO) using FERUM. Two approaches are …☆13Updated last year
- Simple Bayesian optimization in MATLAB, with interface to interact with simulations in ANSYS.☆17Updated last year
- code for Probability-Adaptive Kriging in n-Ball (PAK-Bn) (Kim and Song, 2020)☆9Updated 3 years ago
- The code is for two phase demonstration as example 1 shown in the paper - Gao, Yi, and Yongming Liu. "Reliability-based topology optimiza…☆11Updated 3 years ago
- Customized FERUM (Finite Element Reliability Using Matlab)☆12Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆19Updated 4 months ago
- A MATLAB implementation of the co-kriging process using the DACE toolbox☆37Updated 7 years ago
- This is a compact code for reliability analysis under uncertainty using a Polynomial Regression Machine Learning approach. The code imple…☆13Updated 5 years ago
- Multi-fidelity regression with neural networks☆11Updated 4 months ago
- Physics-guided neural network framework for elastic plates☆37Updated 3 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated last month
- A monte carlo simulation for the performance of composite laminate plates with stochastic material properties.☆13Updated 4 years ago
- Subset simulation is a method of estimating low probability events. Here I adapt SS to perform well with correlated inputs.☆10Updated 6 years ago