Publications associées à Parameter

On flow duration curve modelling in Alpine catchments

Mountain regions are considered to be the natural "water towers" of the world due to their importance as sources of many rivers. Reliable tools to estimate the availability and variability of streamflows in such regions are still rare. In this context, the ...

EPFL2019

MATHICSE Technical Report : Ensemble Kalman filter for multiscale inverse problems

Assyr Abdulle, Giacomo Garegnani, Andrea Zanoni

We present a novel algorithm based on the ensemble Kalman filter to solve inverse problems involving multiscale elliptic partial differential equations. Our method is based on numerical homogenization and finite element discretization and allows to recover ...

MATHICSE2019

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

Henry Markram, Sean Lewis Hill, Werner Alfons Hilda Van Geit, Ying Shi, Christian O'Reilly, Christian Andreas Rössert, Elisabetta Iavarone, Bas-Jan Zandt, Jane Yi

Somatosensory thalamocortical (TC) neurons from the ventrobasal (VB) thalamus are central components in the flow of sensory information between the periphery and the cerebral cortex, and participate in the dynamic regulation of thalamocortical states inclu ...

2019

Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation

Mohsen Talebkeikhah, Farzaneh Talebkeikhah

This study evaluates and compares several machine learning methods on the effects of different parameters in the hydrothermal carbonisation (HTC) process of macroalgae Sargassum horneri. Reaction temperature, residence time, biomass particle size, the amou ...

TAYLOR & FRANCIS LTD2019

Real time magnetic control of the snowflake plasma configuration in the TCV tokamak

Stefano Coda, Jean-Marc Moret, Holger Reimerdes, Benoît Labit, Federico Alberto Alfredo Felici, Cristian Galperti, Roberto Maurizio, Himank Anand

The novel plasma position and shape controller of the TCV tokamak aids in the precise control of complex configurations such as snowflake (SF) divertors. The ability of the controller design to simultaneously control the position, shape, divertor leg and X ...

2019

MATHICSE Technical Report : Efficient state/Parameter estimation in nonlinear unsteady PDEs by reduced basis ensemble Kalman filter

Alfio Quarteroni, Andrea Manzoni, Stefano Pagani

The ensemble Kalman filter is a computationally efficient technique to solve state and/or parameter estimation problems in the framework of statistical inversion when relying on a Bayesian paradigm. Unfortunately its cost may become moderately large for sy ...

MATHICSE2019

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Gabriel Girard, Marco Pizzolato, Jonathan Rafael Patino Lopez, Thomas Yu

Probabilistic parameter estimation in model fitting runs the gamut from maximum likelihood or maximum a posteriori point estimates from optimization to Markov Chain Monte Carlo (MCMC) sampling. The latter, while more computationally intensive, generally pr ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Estimation of streamflow recession parameters: New insights from an analytic streamflow distribution model

Andrea Rinaldo, Bettina Schaefli, Ana Clara Pereira Barbosa Santos

Streamflow recession analysis characterizes the storage-outflow relationship in catchments. This relationship, which typically follows a power law, summarizes all catchment-scale subsurface hydrological processes and has long been known to be a key descrip ...

2019

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Parameter

On flow duration curve modelling in Alpine catchments

MATHICSE Technical Report : Ensemble Kalman filter for multiscale inverse problems

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

Comparison of data interpretation methodologies for geotechnical back analysis

Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation

Real time magnetic control of the snowflake plasma configuration in the TCV tokamak

MATHICSE Technical Report : Efficient state/Parameter estimation in nonlinear unsteady PDEs by reduced basis ensemble Kalman filter

The Decision Rule Approach to Optimisation under Uncertainty: Methodology and Applications

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler

Estimation of streamflow recession parameters: New insights from an analytic streamflow distribution model

Graph Chatbot

Chattez avec Graph Search

Real time magnetic control of the snowflake plasma configuration in the TCV tokamak

The Decision Rule Approach to Optimisation under Uncertainty: Methodology and Applications

MATHICSE Technical Report : Ensemble Kalman filter for multiscale inverse problems

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler

Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation

MATHICSE Technical Report : Efficient state/Parameter estimation in nonlinear unsteady PDEs by reduced basis ensemble Kalman filter

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

On flow duration curve modelling in Alpine catchments

Comparison of data interpretation methodologies for geotechnical back analysis

Estimation of streamflow recession parameters: New insights from an analytic streamflow distribution model