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MAV-based real-time localisation of terrestrial targets with cm-level accuracy: Feasibility study

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Rational Krylov for Stieltjes matrix functions: convergence and pole selection

Stefano Massei

Evaluating the action of a matrix function on a vector, that is

x=f(\mathcal M)v

, is an ubiquitous task in applications. When

\mathcal M

is large, one usually relies on Krylov projection methods. In this paper, we provide effective choices for the pole ...

2019

MAV-based real-time localisation of terrestrial targets with cm-level accuracy: Feasibility study

Graph Chatbot

Chattez avec Graph Search

Adaptive Finite Elements with Large Aspect Ratio. Application to Aluminium Electrolysis

Probabilistic and Bayesian methods for uncertainty quantification of deterministic and stochastic differential equations

Two mixed finite element formulations for the weak imposition of the Neumann boundary conditions for the Darcy flow

Numerical Methods for First and Second Order Fully Nonlinear Partial Differential Equations

A probabilistic finite element method based on random meshes: A posteriori error estimators and Bayesian inverse problems

MATHICSE Technical Report : A probabilistic finite element method based on random meshes: Error estimators and Bayesian inverse problems

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Improve the Model Stability of Dam's Displacement Prediction Using a Numerical-Statistical Combined Model

Rational Krylov for Stieltjes matrix functions: convergence and pole selection

Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation

Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation

Two mixed finite element formulations for the weak imposition of the Neumann boundary conditions for the Darcy flow

MATHICSE Technical Report : A probabilistic finite element method based on random meshes: Error estimators and Bayesian inverse problems

Probabilistic and Bayesian methods for uncertainty quantification of deterministic and stochastic differential equations

Improve the Model Stability of Dam's Displacement Prediction Using a Numerical-Statistical Combined Model

Adaptive Finite Elements with Large Aspect Ratio. Application to Aluminium Electrolysis

A probabilistic finite element method based on random meshes: A posteriori error estimators and Bayesian inverse problems

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Rational Krylov for Stieltjes matrix functions: convergence and pole selection

Numerical Methods for First and Second Order Fully Nonlinear Partial Differential Equations