Matthew M. Lin

26 papers Journal 26
YearRankTypeTitle / Venue / Authors
2025 J jnl
A modified spectral projected gradient method for tensor approximations over closed convex sets.
Comput. Appl. Math.
Matthew M. Lin, Chieu Thanh Nguyen
2025 J jnl
An Iterative Methodology for Unitary Quantum Channel Search.
CoRR
Matthew M. Lin, Hao-Wei Huang, Bing-Ze Lu
2025 J jnl
Generalized Gentlest Ascent Dynamics Methods for High-Index Saddle Points.
SIAM J. Numer. Anal.
Moody T. Chu, Matthew M. Lin
2025 J jnl
On the Nearest Kronecker Product Problem Under Orthonormal Constraints.
Numer. Linear Algebra Appl.
Matthew M. Lin, Bing-Ze Lu
2025 J jnl
Optimizing Mixed Quantum Channels via Projected Gradient Dynamics.
CoRR
Matthew M. Lin, Bing-Ze Lu
2025 J jnl
Optimizing mixed quantum channels via projected gradient dynamics.
Quantum Inf. Process.
Matthew M. Lin, Bing-Ze Lu
2024 J jnl
On the enumeration of subcells within hypercubes and its application to the Borsuk-Ulam theorem.
Numer. Algorithms
Moody T. Chu, Matthew M. Lin
2024 J jnl
Quantifying Measurement-Induced Disturbance to Distinguish Correlations as Classical or Quantum.
J. Sci. Comput.
Yu-Chen Shu, Bing-Ze Lu, Kui-Yo Chen, Matthew M. Lin
2022 J jnl
A complex-valued gradient flow for the entangled bipartite low rank approximation.
Comput. Phys. Commun.
Moody T. Chu, Matthew M. Lin
2022 J jnl
Low-rank approximation to entangled multipartite quantum systems.
Quantum Inf. Process.
Matthew M. Lin, Moody T. Chu
2022 J jnl
Rank-1 Approximation for Entangled Multipartite Real Systems.
J. Sci. Comput.
Matthew M. Lin, Moody T. Chu
2021 J jnl
Nonlinear Power-Like and SVD-Like Iterative Schemes with Applications to Entangled Bipartite Rank-1 Approximation.
SIAM J. Sci. Comput.
Moody T. Chu, Matthew M. Lin
2020 J jnl
On the semigroup property for some structured iterations.
J. Comput. Appl. Math.
Matthew M. Lin, Chun-Yueh Chiang
2018 J jnl
An accelerated technique for solving one type of discrete-time algebraic Riccati equations.
J. Comput. Appl. Math.
Matthew M. Lin, Chun-Yueh Chiang
2018 J jnl
Integer Matrix Approximation and Data Mining.
J. Sci. Comput.
Bo Dong, Matthew M. Lin, Haesun Park
2016 J jnl
Preconditioned iterative methods for space-time fractional advection-diffusion equations.
J. Comput. Phys.
Zhi Zhao, Xiao-Qing Jin, Matthew M. Lin
2015 J jnl
A note on Sylvester-type equations.
J. Frankl. Inst.
Matthew M. Lin, Chun-Yueh Chiang
2015 J jnl
An algorithm for constructing nonnegative matrices with prescribed real eigenvalues.
Appl. Math. Comput.
Matthew M. Lin
2014 J jnl
A study of singular spectrum analysis with global optimization techniques.
J. Glob. Optim.
Moody T. Chu, Matthew M. Lin, Liqi Wang
2014 J jnl
Nonnegative rank factorization - a heuristic approach via rank reduction.
Numer. Algorithms
Bo Dong, Matthew M. Lin, Moody T. Chu
2013 J jnl
The eigenvalue shift technique and its eigenstructure analysis of a matrix.
J. Comput. Appl. Math.
Chun-Yueh Chiang, Matthew M. Lin
2013 J jnl
The shift techniques for a nonsymmetric algebraic Riccati equation.
Appl. Math. Comput.
Matthew M. Lin, Chun-Yueh Chiang
2011 J jnl
Discrete Eckart-Young Theorem for Integer Matrices.
SIAM J. Matrix Anal. Appl.
Matthew M. Lin
2011 J jnl
Dynamical System Characterization of the Central Path and Its Variants - A Revisit.
SIAM J. Appl. Dyn. Syst.
Moody T. Chu, Matthew M. Lin
2010 J jnl
Semi-definite programming techniques for structured quadratic inverse eigenvalue problems.
Numer. Algorithms
Matthew M. Lin, Bo Dong, Moody T. Chu
2008 J jnl
Low-Dimensional Polytope Approximation and Its Applications to Nonnegative Matrix Factorization.
SIAM J. Sci. Comput.
Moody T. Chu, Matthew M. Lin