A refined lower bound on the positive eigenvalues of saddle-point matrices that incorporates specific information from the interactions between the blocks (Householder Symposium XX on Numerical Linear Algebra 2017) - Algorithmes Parallèles et Optimisation Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

A refined lower bound on the positive eigenvalues of saddle-point matrices that incorporates specific information from the interactions between the blocks (Householder Symposium XX on Numerical Linear Algebra 2017)

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https://hal.science/hal-03128329

Soumis le : mardi 2 février 2021-10:44:28

Dernière modification le : jeudi 28 mars 2024-03:10:18

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hal-03128329 , version 1 (02-02-2021)

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Daniel Ruiz, Annick Sartenaer, Charlotte Tannier. A refined lower bound on the positive eigenvalues of saddle-point matrices that incorporates specific information from the interactions between the blocks (Householder Symposium XX on Numerical Linear Algebra 2017). Householder Symposium XX on Numerical Linear Algebra 2017, Society for Industrial and Applied Mathematics (SIAM); SIAM Activity Group on Linear Algebra (SIAG/LA), Jun 2017, Blacksburg, Virginia, United States. ⟨hal-03128329⟩

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