The following pages link to Liu Liu (Q389778):
Displaying 17 items.
- A unified Bayesian inversion approach for a class of tumor growth models with different pressure laws (Q6552257) (← links)
- On the simultaneous stabilization for a family of time-varying linear systems under the transmission condition (Q6570390) (← links)
- Robust output consensus of discrete-time networked negative imaginary systems (Q6578850) (← links)
- Modelling and monitoring social network change based on exponential random graph models (Q6579839) (← links)
- Asymptotic behavior of Infinite systems determined by polynomial shift operators (Q6580862) (← links)
- Spectral convergence of a semi-discretized numerical system for the spatially homogeneous Boltzmann equation with uncertainties (Q6587626) (← links)
- Robust stability analysis for feedback systems with simultaneous uncertainties via IQCs (Q6609024) (← links)
- A study of multiscale kinetic models with uncertainties (Q6613480) (← links)
- Converse theorems for the property of negative imaginary systems (Q6646006) (← links)
- The generalized sectorial decompositions of semi-sectorial operators (Q6655461) (← links)
- Rendezvous problem for chains of kinematic points (Q6662111) (← links)
- Conjugacy between piecewise monotone functions decreasing on characteristic interval (Q6664440) (← links)
- On a class of multi-fidelity methods for the semiclassical Schrödinger equation with uncertainties (Q6731834) (← links)
- Asymptotic-preserving neural networks for the semiconductor Boltzmann equation and its application on inverse problems (Q6737579) (← links)
- Asymptotic-Preserving schemes for the Boltzmann mixture model with disparate mass (Q6754252) (← links)
- Machine learning-based moment closure model for the semiconductor Boltzmann equation with uncertainties (Q6756257) (← links)
- A bi-fidelity method for the uncertain Vlasov-Poisson system near quasineutrality in an asymptotic-preserving PIC framework (Q6757036) (← links)
