Nicolas Boutet

ORCID: 0000-0003-3459-564X
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About
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Research Areas
  • Iterative Methods for Nonlinear Equations
  • Matrix Theory and Algorithms
  • Advanced Optimization Algorithms Research
  • Radiation Effects in Electronics
  • International Law and Aviation
  • Software System Performance and Reliability
  • Risk and Safety Analysis
  • Reliability and Maintenance Optimization
  • Radio Astronomy Observations and Technology
  • Software Reliability and Analysis Research
  • Numerical Methods and Algorithms

Royal Military Academy
2020-2022

Directorate-General for Energy
2022

Ghent University
2020-2022

10.1007/s10589-020-00256-1 article EN Computational Optimization and Applications 2021-01-12

For Quasi-Newton methods, one of the most important challenges is to find an estimate Jacobian matrix as close possible real matrix. While in root-finding problems multi-secant methods are regularly used, optimization, it symmetric (in particular BFGS) that popular. Combining and single update formula would combine their benefits. However, can be proved symmetry property generally not compatible. In this paper, we try work around impossibility approach combination both properties into a...

10.1080/10556788.2022.2053970 article EN Optimization methods & software 2022-04-28

ADMP-03 (Allied Dependability Management Publications #3) [1] is a recently published (2021) NATO standard that provides guidance for classification and analysis of dependability (or RAM) events. means to compare the reliability as well other aspects defense systems. Some significant contributions are:•the structured approach it proposes classifying RAM events (cause, impact),•definitions examples metrics can be assessed using classified event data.

10.1109/rams51457.2022.9894020 article EN 2022 Annual Reliability and Maintainability Symposium (RAMS) 2022-01-24

Working with Quasi-Newton methods in optimization leads to one important challenge, being find an estimate of the Hessian matrix as close possible real matrix. While multisecant are regularly used solve root finding problems, they have been little explored because symmetry property estimation is generally not compatible property. In this paper, we propose a solution apply problems. Starting from Powell-Symmetric-Broyden (PSB) update formula and adding pieces information previous steps path,...

10.7763/ijmo.2021.v11.786 article EN International Journal of Modeling and Optimization 2021-08-26
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