Work

Matrix Completion Survey: Theory, Algorithms, and Empirical Evaluation

Year: 2025

Type: preprint

Abstract: We present a concise survey of matrix completion methods and associated implementations of several fundamental algorithms. Our study covers both passive and adaptive strategies. We further illustrate the behavior of a simple adaptive sampling scheme through controlled synthetic experiments.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2512.08689

Authors: Panish, Connor, Villani, Leo

Institution: Cornell University

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7114771486

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