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math.OC2026

Automatic Model-Order Selection for Nonnegative Matrix Factorization via Column Regularization

Yulin He, Ran Gu

Nonnegative matrix factorization represents nonnegative signals as additive combinations of latent components, but its factorization rank, and hence the model order, must usually b…

math.OC2026

Structured Spectral Step-Sizes and Hanoi-type Ordering for Gradient Methods

Yijia Zhou, Ran Gu

Gradient methods are widely used for optimization, yet their practical convergence performance depends critically on step-size selection. Spectral step-size selection involves two…

math.OC2026

Masked Symmetric Nonnegative Matrix Factorization for Community Detection in Incomplete Networks

Anqi Liu, Ran Gu, Rui-Jin Zhang

Community detection in complex networks is frequently challenged by incomplete or noisy adjacency matrices. Traditional symmetric nonnegative matrix factorization methods typically…

math.OC2025

Convergence-Guaranteed Algorithms for l1/2-Regularized Quadratic Programs with Assignment Constraints

Lijun Xie, Ran Gu, Xin Liu

This paper addresses a quadratic problem with assignment constraints, an NP-hard combinatorial optimization problem arisen from facility location, multiple-input multiple-output de…

math.OC2025

Heuristic Bundle Upper Bound Based Polyhedral Bundle Method for Semidefinite Programming

Zilong Cui, Ran Gu

Semidefinite programming (SDP) is a fundamental class of convex optimization problems with diverse applications in mathematics, engineering, machine learning, and related disciplin…