Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds
Bayesian techniques for engineering problems, which rely on Gaussian process (GP) regression, are known for their ability to quantify epistemic and aleatory uncertainties and for being data efficient.The mathematical elegance of applying nad m66 price these methods usually comes at a high computational cost when compared to deterministic and empiri