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   Articles with "gauss newton" as a keyword



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Performance enhancement of Gauss-Newton trust-region solver for distributed Gauss-Newton optimization method

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recommendations! Published in 2019 at "Computational Geosciences"

DOI: 10.1007/s10596-019-09830-x

Abstract: Distributed Gauss-Newton (DGN) optimization method has been proved very efficient and robust for history matching and uncertainty quantification (HM&UQ). The major bottleneck for performance enhancement is the expensive computational cost of solving hundreds of Gauss-Newton… read more here.

Keywords: method; gntr; trust region; optimization ... See more keywords
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A multiplicative regularized Gauss-Newton method with trust region Sequential Quadratic Programming for structural model updating

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recommendations! Published in 2019 at "Mechanical Systems and Signal Processing"

DOI: 10.1016/j.ymssp.2019.05.062

Abstract: Abstract The paper focuses on the development of an iterative minimization algorithm for structural identification. The algorithm consists of a Gauss-Newton method in which the ill-conditioning caused by noise pollution is mitigated by means of… read more here.

Keywords: method; newton method; gauss newton; sequential quadratic ... See more keywords
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Barnes Update Applied in the Gauss-Newton Method: An Improved Algorithm to Locate Bond Breaking Points.

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recommendations! Published in 2021 at "Journal of chemical theory and computation"

DOI: 10.1021/acs.jctc.0c00910

Abstract: A mechanochemical reaction is a reaction induced by mechanical energy. A general accepted model for this type of reaction consists of a first-order perturbation on the associated potential energy surface (PES) of the unperturbed molecular… read more here.

Keywords: bond breaking; method; algorithm locate; newton method ... See more keywords
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Convergence analysis of simplified iteratively regularized Gauss–Newton method in a Banach space setting

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recommendations! Published in 2018 at "Applicable Analysis"

DOI: 10.1080/00036811.2017.1386785

Abstract: Abstract Iteratively regularized Gauss–Newton method considered by Qinian Jin and Min Zhong (2013), where the iterates are defined by convex optimization problem to get the approximate solution of nonlinear ill-posed equation of the form ,… read more here.

Keywords: method; iteratively regularized; newton method; gauss newton ... See more keywords
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The Sequential Fusion Estimation Algorithms Based on Gauss-Newton Method Over Multi-Agent Networked Systems

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3003984

Abstract: In multi-agent networked systems, parameter estimation problems arising in many practical applications are often required to solve Non-Linear Least Squares (NLLS) problems with the usual objective function (i.e., sum of squared residuals). The aim is… read more here.

Keywords: agent networked; newton; multi agent; gauss newton ... See more keywords
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Data-Driven Priors for Robust PSSE via Gauss-Newton Unrolled Neural Networks

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recommendations! Published in 2022 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"

DOI: 10.1109/jetcas.2022.3142051

Abstract: Renewable energy sources, elastic loads, and purposeful manipulation of meter readings challenge the monitoring and control of today’s power systems (PS). In this context, fast and robust state estimation (SE) is timely and of major… read more here.

Keywords: priors robust; psse; data driven; gauss newton ... See more keywords
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Wave Equation Reflection Traveltime Inversion Using Gauss–Newton Optimization

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3090077

Abstract: Wave equation reflection traveltime inversion (RTI) takes advantage of the convexity of traveltime objective function to robustly build the background velocity structure for seismic migration and waveform inversion. However, the current wave-equation-based RTI suffers from… read more here.

Keywords: inversion; equation; reflection traveltime; wave equation ... See more keywords
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A Gauss–Newton ADALINE for Dynamic Phasor Estimation of Power Signals and Its FPGA Implementation

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recommendations! Published in 2018 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2016.2620841

Abstract: This paper presents a new hybrid adaptive filter based on modified Gauss–Newton adaptive linear element (MGNA) for estimating the fundamental and harmonic phasors along with the frequency change of nonstationary power system signals useful in… read more here.

Keywords: estimation; adaline dynamic; time; power ... See more keywords
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A Gauss–Newton Online Ranging Method Based on Saturated Waveform Compensation of LiDAR

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recommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2023.3277948

Abstract: The saturated waveform is a main limiting factor of dynamic detection range of light detection and ranging (LiDAR), and thus, extracting the range from saturated waveform accurately can extend the detection range of full-waveform LiDAR.… read more here.

Keywords: saturated waveform; online ranging; newton online; gauss newton ... See more keywords
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Parameterized level-set based pharmacokinetic fluorescence optical tomography using the regularized Gauss–Newton filter

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recommendations! Published in 2018 at "Journal of Biomedical Optics"

DOI: 10.1117/1.jbo.24.3.031010

Abstract: Abstract. Pharmacokinetic tomography is emerging as an important methodology for detecting abnormalities in tissue based upon spatially varying estimation of the pharmacokinetic rates governing the leakage of an injected fluorophore between blood plasma and tissue.… read more here.

Keywords: parameterized level; optical tomography; gauss newton; regularized gauss ... See more keywords
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Deep Gauss-Newton for phase retrieval.

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recommendations! Published in 2023 at "Optics letters"

DOI: 10.1364/ol.484862

Abstract: We propose the deep Gauss-Newton (DGN) algorithm. The DGN allows one to take into account the knowledge of the forward model in a deep neural network by unrolling a Gauss-Newton optimization method. No regularization or… read more here.

Keywords: dgn; phase retrieval; gauss newton; deep gauss ... See more keywords