📌 Compartimos una nueva #Investigación publicada en "Computers & Mathematics with Applications" y que tiene como coautor a Nicolás Barnafi, académico IMC/Ciencias Biológicas UC. 📷 Enlace al paper: https://t.co/e9HNdIR0LB https://t.co/1A8C7vB8TI
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RT @mathNAb: Nicolás A. Barnafi, Ngoc Mai Monica Huynh, Luca F. Pavarino, Simone Scacchi: Analysis and numerical validation of robust paral…
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methods without hindering their robustness or scalability. In addition, first order methods are also competitive, and represent a better alternative for matrix-free implementations, which are suitable for GPU computing. [4/4 of https://t.co/VLW33czxV8]
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solvers in terms of execution time, robustness with respect to the data and parallel scalability. Our results suggest that Quasi-Newton methods are the best choice for this type of problem, being faster than standard Newton-Krylov [3/4 of https://t.co/VLW3