Publications related to MCMFIT: Efficient optimal fitting of a generalised nonlinear advection-dispersion model to experimental data

A Least-Squares Method for the Solution of the Non-smooth Prescribed Jacobian Equation

Alexandre Caboussat, Dimitrios Gourzoulidis

We consider a least-squares/relaxation finite element method for the numerical solution of the prescribed Jacobian equation. We look for its solution via a least-squares approach. We introduce a relaxation algorithm that decouples this least-squares proble ...

SPRINGER/PLENUM PUBLISHERS2022

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem

Nirupam Gupta

This paper considers the multi-agent linear least-squares problem in a server-agent network architecture. The system comprises multiple agents, each with a set of local data points. The agents are connected to a server, and there is no inter-agent communic ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Accelerated SGD for Non-Strongly-Convex Least Squares

Nicolas Henri Bernard Flammarion, Aditya Vardhan Varre

We consider stochastic approximation for the least squares regression problem in the non-strongly convex setting. We present the first practical algorithm that achieves the optimal prediction error rates in terms of dependence on the noise of the problem, ...

2022

NIR Fluorescence lifetime macroscopic imaging with a time-gated SPAD camera

Edoardo Charbon, Claudio Bruschini, Arin Can Ülkü

The performance of SwissSPAD2 (SS2), a large scale, widefield time-gated CMOS SPAD imager developed for fluorescence lifetime imaging, has recently been described in the context of visible range and fluorescence lifetime imaging microscopy (FLIM) of dyes w ...

SPIE-INT SOC OPTICAL ENGINEERING2022

Last iterate convergence of SGD for Least-Squares in the Interpolation regime

Nicolas Henri Bernard Flammarion, Aditya Vardhan Varre, Loucas Pillaud-Vivien

Motivated by the recent successes of neural networks that have the ability to fit the data perfectly \emph{and} generalize well, we study the noiseless model in the fundamental least-squares setup. We assume that an optimum predictor fits perfectly inputs ...

2021

Superluminal Motion-Assisted Four-Dimensional Light-in-Flight Imaging

Edoardo Charbon, Andrei Ardelean, Ming-Lo Wu, Kazuhiro Morimoto

Advances in high-speed imaging techniques have opened new possibilities for capturing ultrafast phenomena such as light propagation in air or through media. Capturing light in flight in three-dimensional xyt space has been reported based on various types o ...

AMER PHYSICAL SOC2021

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements

Jean-Yves Le Boudec, Mario Paolone, Arpan Mukhopadhyay

We present a new approach for estimating the parameters of three-phase untransposed electrically short transmission lines using voltage/current synchrophasor measurements obtained from phasor measurement units. The parameters to be estimated are the entrie ...

2020

Performance Assessment of Kron Reduction in the Numerical Analysis of Polyphase Power Systems

Mario Paolone, Andreas Martin Kettner

This paper investigates the impact of Kron reduction on the performance of numerical methods applied to the analysis of unbalanced polyphase power systems. Specifically, this paper focuses on power-flow study, state estimation, and voltage stability assess ...

IEEE2019

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MCMFIT: Efficient optimal fitting of a generalised nonlinear advection-dispersion model to experimental data

On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells

A Least-Squares Method for the Solution of the Non-smooth Prescribed Jacobian Equation

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem

Accelerated SGD for Non-Strongly-Convex Least Squares

NIR Fluorescence lifetime macroscopic imaging with a time-gated SPAD camera

Last iterate convergence of SGD for Least-Squares in the Interpolation regime

Superluminal Motion-Assisted Four-Dimensional Light-in-Flight Imaging

Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements

Performance Assessment of Kron Reduction in the Numerical Analysis of Polyphase Power Systems

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Chat with Graph Search

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements

Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates

Superluminal Motion-Assisted Four-Dimensional Light-in-Flight Imaging

Last iterate convergence of SGD for Least-Squares in the Interpolation regime

NIR Fluorescence lifetime macroscopic imaging with a time-gated SPAD camera

Accelerated SGD for Non-Strongly-Convex Least Squares

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem

A Least-Squares Method for the Solution of the Non-smooth Prescribed Jacobian Equation

On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells

Performance Assessment of Kron Reduction in the Numerical Analysis of Polyphase Power Systems