Matthew M. Lin

Professor

  • 100 Citations
  • 5 h-Index
20072020
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Personal profile

Education

  • 2010 PhD, Department of Mathematics, North Carolina State University

Research Interests

  • Inverse Eigenvalue Problems
  • Low Rank Approximation
  • Numerical Analysis

Experience

  • 2016~present Associate Professor, National Cheng Kung University

Fingerprint Dive into the research topics where Matthew M. Lin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Inverse Eigenvalue Problem Mathematics
Riccati equations Engineering & Materials Science
Singular Values Mathematics
Non-negative Mathematics
Factorization Engineering & Materials Science
Integer Matrix Mathematics
Eigenvalue Mathematics
Algebraic Riccati Equation Mathematics

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Projects 2019 2020

矩陣流形上的數學優化及其應用

Lin, M. M.

19-08-0120-07-31

Project: Research project

資料重建的數學核心技術與應用(1/5)

Lin, M. M.

19-02-0120-01-31

Project: Research project

Research Output 2007 2019

  • 100 Citations
  • 5 h-Index
  • 21 Article
  • 1 Review article

Riemannian inexact Newton method for structured inverse eigenvalue and singular value problems

Chiang, C. Y., Lin, M. M. & Jin, X. Q., 2019 Sep 1, In : BIT Numerical Mathematics. 59, 3, p. 675-694 20 p.

Research output: Contribution to journalArticle

Inexact Newton Methods
Newton-Raphson method
Singular Values
Eigenvalue
Inverse problems
1 Citation (Scopus)

An accelerated technique for solving one type of discrete-time algebraic Riccati equations

Lin, M. M. & Chiang, C. Y., 2018 Aug 15, In : Journal of Computational and Applied Mathematics. 338, p. 91-110 20 p.

Research output: Contribution to journalArticle

Positive Definite Solution
Algebraic Riccati Equation
Riccati equations
Discrete-time
Critical Case

An iterative method for solving the stable subspace of a matrix pencil and its application

Lin, M. M. & Chiang, C. Y., 2018 Jul 3, In : Linear and Multilinear Algebra. 66, 7, p. 1279-1298 20 p.

Research output: Contribution to journalArticle

Matrix Pencil
Subspace
Iteration
Square root
Matrix Square Root

Integer Matrix Approximation and Data Mining

Dong, B., Lin, M. M. & Park, H., 2018 Apr 1, In : Journal of Scientific Computing. 75, 1, p. 198-224 27 p.

Research output: Contribution to journalArticle

Matrix Approximation
Integer Matrix
Data mining
Data Mining
Integer
13 Citations (Scopus)

Preconditioned iterative methods for space-time fractional advection-diffusion equations

Zhao, Z., Jin, X. Q. & Lin, M. M., 2016 Aug 15, In : Journal of Computational Physics. 319, p. 266-279 14 p.

Research output: Contribution to journalArticle

Advection
Iterative methods
advection
boundary value problems
Fast Fourier transforms