Pages that link to "Item:Q2310838"
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The following pages link to Multi-fidelity optimization of super-cavitating hydrofoils (Q2310838):
Displaying 17 items.
- The studies of finite supercavitating airfoil (Q1094228) (← links)
- A continuous adjoint approach to design optimization in cavitating flow using a barotropic model (Q1641526) (← links)
- Machine learning materials physics: surrogate optimization and multi-fidelity algorithms predict precipitate morphology in an alternative to phase field dynamics (Q1986728) (← links)
- Multi-fidelity deep neural network surrogate model for aerodynamic shape optimization (Q2020786) (← links)
- Optimization of the shape of a hydrokinetic turbine's draft tube and hub assembly using design-by-morphing with Bayesian optimization (Q2096884) (← links)
- Analysis of partially cavitating hydrofoils under the free surface using BEM-based adjoint optimization (Q2110783) (← links)
- Enhanced variable-fidelity surrogate-based optimization framework by Gaussian process regression and fuzzy clustering (Q2184447) (← links)
- A fast multi-fidelity method with uncertainty quantification for complex data correlations: application to vortex-induced vibrations of marine risers (Q2246346) (← links)
- Multi-fidelity shape optimization of hydraulic turbine runner blades using a multi-objective mesh adaptive direct search algorithm (Q2290065) (← links)
- Higher-moment buffered probability (Q2329645) (← links)
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- (Q3608181) (← links)
- Risk-averse optimal control of semilinear elliptic PDEs (Q5126395) (← links)
- An Interior-Point Approach for Solving Risk-Averse PDE-Constrained Optimization Problems with Coherent Risk Measures (Q5148402) (← links)
- Multi‐fidelity data fusion through parameter space reduction with applications to automotive engineering (Q6148532) (← links)
- Adaptive confidence bound based Bayesian optimization via potentially optimal Lipschitz conditions (Q6193911) (← links)
- Modern Monte Carlo methods for efficient uncertainty quantification and propagation: a survey (Q6602125) (← links)