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Journal Articles
- 2024
[j20]Yu-Chen Shu, Bing-Ze Lu, Kui-Yo Chen, Matthew M. Lin
:
Quantifying Measurement-Induced Disturbance to Distinguish Correlations as Classical or Quantum. J. Sci. Comput. 99(1): 4 (2024)- [j19]Moody T. Chu, Matthew M. Lin:
On the enumeration of subcells within hypercubes and its application to the Borsuk-Ulam theorem. Numer. Algorithms 97(2): 595-615 (2024) - 2022
- [j18]Moody T. Chu, Matthew M. Lin:
A complex-valued gradient flow for the entangled bipartite low rank approximation. Comput. Phys. Commun. 271: 108185 (2022) - [j17]Matthew M. Lin, Moody T. Chu:
Rank-1 Approximation for Entangled Multipartite Real Systems. J. Sci. Comput. 91(1): 24 (2022) - [j16]Matthew M. Lin, Moody T. Chu:
Low-rank approximation to entangled multipartite quantum systems. Quantum Inf. Process. 21(4): 120 (2022) - 2021
- [j15]Moody T. Chu, Matthew M. Lin:
Nonlinear Power-Like and SVD-Like Iterative Schemes with Applications to Entangled Bipartite Rank-1 Approximation. SIAM J. Sci. Comput. 43(5): S448-S474 (2021) - 2020
- [j14]Matthew M. Lin, Chun-Yueh Chiang:
On the semigroup property for some structured iterations. J. Comput. Appl. Math. 374: 112768 (2020) - 2018
- [j13]Matthew M. Lin, Chun-Yueh Chiang:
An accelerated technique for solving one type of discrete-time algebraic Riccati equations. J. Comput. Appl. Math. 338: 91-110 (2018) - [j12]Bo Dong, Matthew M. Lin, Haesun Park:
Integer Matrix Approximation and Data Mining. J. Sci. Comput. 75(1): 198-224 (2018) - 2016
- [j11]Zhi Zhao, Xiao-Qing Jin, Matthew M. Lin:
Preconditioned iterative methods for space-time fractional advection-diffusion equations. J. Comput. Phys. 319: 266-279 (2016) - 2015
- [j10]Matthew M. Lin:
An algorithm for constructing nonnegative matrices with prescribed real eigenvalues. Appl. Math. Comput. 256: 582-590 (2015) - [j9]Matthew M. Lin, Chun-Yueh Chiang:
A note on Sylvester-type equations. J. Frankl. Inst. 352(5): 2171-2186 (2015) - 2014
- [j8]Moody T. Chu, Matthew M. Lin, Liqi Wang:
A study of singular spectrum analysis with global optimization techniques. J. Glob. Optim. 60(3): 551-574 (2014) - [j7]Bo Dong, Matthew M. Lin, Moody T. Chu:
Nonnegative rank factorization - a heuristic approach via rank reduction. Numer. Algorithms 65(2): 251-274 (2014) - 2013
- [j6]Matthew M. Lin, Chun-Yueh Chiang:
The shift techniques for a nonsymmetric algebraic Riccati equation. Appl. Math. Comput. 219(10): 5083-5095 (2013) - [j5]Chun-Yueh Chiang, Matthew M. Lin:
The eigenvalue shift technique and its eigenstructure analysis of a matrix. J. Comput. Appl. Math. 253: 235-248 (2013) - 2011
- [j4]Moody T. Chu, Matthew M. Lin:
Dynamical System Characterization of the Central Path and Its Variants - A Revisit. SIAM J. Appl. Dyn. Syst. 10(3): 887-905 (2011) - [j3]Matthew M. Lin:
Discrete Eckart-Young Theorem for Integer Matrices. SIAM J. Matrix Anal. Appl. 32(4): 1367-1382 (2011) - 2010
- [j2]Matthew M. Lin, Bo Dong, Moody T. Chu:
Semi-definite programming techniques for structured quadratic inverse eigenvalue problems. Numer. Algorithms 53(4): 419-437 (2010) - 2008
- [j1]Moody T. Chu, Matthew M. Lin:
Low-Dimensional Polytope Approximation and Its Applications to Nonnegative Matrix Factorization. SIAM J. Sci. Comput. 30(3): 1131-1155 (2008)
Coauthor Index
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