Low-Dimensional Polytope Approximation and Its Applications to Nonnegative Matrix Factorization. - Moody T. Chu; Matthew M. Lin (SIAM J. Sci. Comput., 2008)

Semi-definite programming techniques for structured quadratic inverse eigenvalue problems. - Matthew M. Lin; Bo Dong; Moody T. Chu (Numer. Algorithms, 2010)

Dynamical System Characterization of the Central Path and Its Variants - A Revisit. - Moody T. Chu; Matthew M. Lin (SIAM J. Appl. Dyn. Syst., 2011)

Discrete Eckart-Young Theorem for Integer Matrices. - Matthew M. Lin (SIAM J. Matrix Anal. Appl., 2011)

The shift techniques for a nonsymmetric algebraic Riccati equation. - Matthew M. Lin; Chun-Yueh Chiang (Appl. Math. Comput., 2013)

The eigenvalue shift technique and its eigenstructure analysis of a matrix. - Chun-Yueh Chiang; Matthew M. Lin (J. Comput. Appl. Math., 2013)

A study of singular spectrum analysis with global optimization techniques. - Moody T. Chu; Matthew M. Lin; Liqi Wang (J. Glob. Optim., 2014)

Nonnegative rank factorization - a heuristic approach via rank reduction. - Bo Dong; Matthew M. Lin; Moody T. Chu (Numer. Algorithms, 2014)

An algorithm for constructing nonnegative matrices with prescribed real eigenvalues. - Matthew M. Lin (Appl. Math. Comput., 2015)

A note on Sylvester-type equations. - Matthew M. Lin; Chun-Yueh Chiang (J. Frankl. Inst., 2015)

Preconditioned iterative methods for space-time fractional advection-diffusion equations. - Zhi Zhao; Xiao-Qing Jin; Matthew M. Lin (J. Comput. Phys., 2016)

An accelerated technique for solving one type of discrete-time algebraic Riccati equations. - Matthew M. Lin; Chun-Yueh Chiang (J. Comput. Appl. Math., 2018)

Integer Matrix Approximation and Data Mining. - Bo Dong; Matthew M. Lin; Haesun Park (J. Sci. Comput., 2018)

On the semigroup property for some structured iterations. - Matthew M. Lin; Chun-Yueh Chiang (J. Comput. Appl. Math., 2020)

Nonlinear Power-Like and SVD-Like Iterative Schemes with Applications to Entangled Bipartite Rank-1 Approximation. - Moody T. Chu; Matthew M. Lin (SIAM J. Sci. Comput., 2021)

A complex-valued gradient flow for the entangled bipartite low rank approximation. - Moody T. Chu; Matthew M. Lin (Comput. Phys. Commun., 2022)

Rank-1 Approximation for Entangled Multipartite Real Systems. - Matthew M. Lin; Moody T. Chu (J. Sci. Comput., 2022)

Low-rank approximation to entangled multipartite quantum systems. - Matthew M. Lin; Moody T. Chu (Quantum Inf. Process., 2022)

Quantifying Measurement-Induced Disturbance to Distinguish Correlations as Classical or Quantum. - Yu-Chen Shu; Bing-Ze Lu; Kui-Yo Chen; Matthew M. Lin (J. Sci. Comput., 2024)

On the enumeration of subcells within hypercubes and its application to the Borsuk-Ulam theorem. - Moody T. Chu; Matthew M. Lin (Numer. Algorithms, 2024)

A modified spectral projected gradient method for tensor approximations over closed convex sets. - Matthew M. Lin; Chieu Thanh Nguyen (Comput. Appl. Math., 2025)

On the Nearest Kronecker Product Problem Under Orthonormal Constraints. - Matthew M. Lin; Bing-Ze Lu (Numer. Linear Algebra Appl., 2025)

An Iterative Methodology for Unitary Quantum Channel Search. - Matthew M. Lin; Hao-Wei Huang; Bing-Ze Lu (CoRR, 2025)

Optimizing Mixed Quantum Channels via Projected Gradient Dynamics. - Matthew M. Lin; Bing-Ze Lu (CoRR, 2025)