mid2SUPAERO / multi-fi-optimizationLinks
Multifidelity Kriging, Efficient Global Optimization
☆18Updated 6 years ago
Alternatives and similar repositories for multi-fi-optimization
Users that are interested in multi-fi-optimization are comparing it to the libraries listed below
Sorting:
- Multi-fidelity reduced-order surrogate modeling☆25Updated 5 months ago
- Multifidelity aeroelastic optimization with application to a BWB☆13Updated 4 years ago
- multi-fidelity neural network☆20Updated 2 years ago
- Multi-fidelity probability machine learning☆20Updated 2 weeks ago
- ☆40Updated 2 years ago
- Mapping, Radial Basis Function, RBF, FSI☆12Updated 5 years ago
- A monte carlo simulation for the performance of composite laminate plates with stochastic material properties.☆13Updated 5 years ago
- Materials for my Structural and Multidisciplinary Design Optimization course☆46Updated 9 months ago
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆12Updated 2 years ago
- ☆42Updated 2 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆33Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- ☆42Updated 3 years ago
- ☆20Updated last year
- Implementation of Stochastic Gradient Descent algorithms in Python (cite https://doi.org/10.1007/s00158-020-02599-z)☆11Updated 4 years ago
- TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain☆46Updated 4 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆69Updated 2 years ago
- ☆21Updated 2 years ago
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Updated 7 years ago
- ☆15Updated 2 years ago
- time-variant reliability analysis method☆17Updated 5 years ago
- A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains…☆12Updated 2 years ago
- Machine learning of linear differential equations using Gaussian processes☆25Updated 7 years ago
- all code for this study☆26Updated 5 years ago
- ☆59Updated 2 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆69Updated 5 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Software for Analysis and Design of Composite Rotors☆30Updated 8 years ago
- ☆28Updated 3 years ago
- Direct Mesh-free Topology Optimization using Neural Networks☆20Updated 2 years ago