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math.NA2026
Low-Precision Rank Compensation for Matrices and Tensor Trains
Ibrahim El Mountasser, Khalide Jbilou
Lower numerical precision reduces storage and memory traffic but raises the perturbation floor. We study rank compensation: reinvesting saved memory in a larger approximation rank.…
math.NA2026
A survey of scalar and vector extrapolation
Khalide Jbilou
Scalar extrapolation and convergence acceleration methods are central tools in numerical analysis for improving the efficiency of iterative algorithms and the summation of slowly c…
math.NA2026
A Unified Trace-Optimization Framework for Multidimensionality Reduction
Mohamed El Guide, Alaa El Ichi, Khalide Jbilou +2
This paper presents a comprehensive overview of several multidimensional reduction methods focusing on Multidimensional Principal Component Analysis (MPCA), Multilinear Orthogonal…