Buongiorno,
segnalo il corso di dottorato "Low rank approximation techniques for
matrices and tensors", che sarà tenuto a partire del prossimo 7
febbraio da Stefano Massei presso il dipartimento di Informatica.
È un corso concentrato in 3 settimane; in quel periodo Stefano sarà
ospite del Dipartimento di Matematica. Riporto qui sotto ulteriori
informazioni, che in ogni caso trovate sulla pagina web del corso di
dottorato in Computer Science [1].
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Low rank approximation techniques for matrices and tensors
Lecturers: Stefano Massei (TU/e, The Netherlands)
Period: From February 7th to February 26th, 2022
Schedule: 6 hours the first and second week, 4 hours the third week
To attend the course send an email to s.massei(a)tue.nl
Matrices and tensors are the heart of many scientific and industrial
computational problems. In this course we will survey numerical methods
that leverage low-rank structures in matrices and tensors in order to
reduce the consumption of computational resources while maintaining a
satisfactory accuracy.
The course will touch the following topics:
* Low-rank tensor formats: Tucker and tensor train
* Deterministic and randomized algorithms for low-rank approximation
of matrices and tensors
* Trace and diagonal estimation of black box matrices
[1] https://dottorato.di.unipi.it/phd-programme/teaching/phd-courses-a-y-2021-2…
