Latest Achievements
Faculty Kamila Larripa and collaborators, Mathematics
Kamila Larripa and collaborators had their paper "Block Gauss-Seidel methods for t-product tensor regression" accepted to the journal Numerical Algorithms. This work develops new mathematical tools that help data scientists analyze large, complex datasets (such as images, videos, or medical scans) more efficiently and accurately.
Academic Department
Achievement (100 Words Max)
Kamila Larripa and collaborators had their paper "Block Gauss-Seidel methods for t-product tensor regression" accepted to the journal Numerical Algorithms. This work develops new mathematical tools that help data scientists analyze large, complex datasets (such as images, videos, or medical scans) more efficiently and accurately.
Name(s) of People Involved
Kamila Larripa and collaborators
Type of Achievement
Faculty
Submitter's Full Name
Kamila Larripa
Email
krl23@humboldt.edu
College
CNRS