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D-Index & Metrics

Mathematics

D-Index
32
Citations
4569
World Ranking
3179
National Ranking
1272

Overview

Moody T. Chu is affiliated with North Carolina State University in the United States and has contributed to research primarily in the fields of mathematics and computer science. Their scholarly work centers on computational mathematics, computational theory and mathematics, computational mechanics, artificial intelligence, as well as atomic and molecular physics and optics.

Their research addresses several main topics which include:

  • Tensor decomposition and applications
  • Matrix Theory and Algorithms
  • Quantum Information and Cryptography
  • Sparse and Compressive Sensing Techniques
  • Blind Source Separation Techniques
  • Elasticity and Material Modeling
  • Fluid Dynamics and Vibration Analysis

Among their frequent collaborators are Matthew M. Lin, Bo Dong, Nan Jiang, and Zhenyue Zhang.

Moody T. Chu has authored papers published in a variety of venues including SIAM Journal on Scientific Computing, Numerische Mathematik, IMA Journal of Numerical Analysis, Computer Physics Communications, and Quantum Information Processing.

Key publications by Moody T. Chu include:

  • Nonlinear Power-Like and SVD-Like Iterative Schemes with Applications to Entangled Bipartite Rank-1 Approximation, 2021, SIAM Journal on Scientific Computing
  • Lax dynamics for Cartan decomposition with applications to Hamiltonian simulation, 2023, IMA Journal of Numerical Analysis
  • A complex-valued gradient flow for the entangled bipartite low rank approximation, 2021, Computer Physics Communications

Other relevant works related to their coauthors, such as Bo Dong, include publications like "Nonlinear power-like iteration by polar decomposition and its application to tensor approximation" published in 2020 in Numerische Mathematik. Similarly, Matthew M. Lin has coauthored research in Quantum Information Processing on topics connected to multipartite quantum systems.

Best Publications

  • Inverse Eigenvalue Problems: Theory, Algorithms, and Applications

    Moody T. Chu;Gene H. Golub

  • Inverse Eigenvalue Problems

    Moody T. Chu

  • Structured inverse eigenvalue problems

    Moody T. Chu;Gene H. Golub

  • Structured low rank approximation

    Moody T. Chu;Robert E. Funderlic;Robert J. Plemmons

  • The projected gradient methods for least squares matrix approximations with spectral constraints

    Moody T. Chu;Kenneth R. Driessel

  • Optimality, computation, and interpretation of nonnegative matrix factorizations

    M. T. Chu;F. Diele;R. Plemmons;Stefania Ragni

  • A rank-one reduction formula and its applications to matrix factorizations

    Moody T. Chu;Robert E. Funderlic;Gene H. Golub

  • Parallel solution of ODE's by multi-block methods

    Moody T. Chu;Hans Hamilton

  • Linear algebra algorithms as dynamical systems

    Moody T. Chu

  • On the Continuous Realization of Iterative Processes

    Moody T. Chu

  • On a multivariate eigenvalue problem, part I: algebraic theory and a power method

    Moody T. Chu;J. Loren Watterson

  • The Generalized Toda Flow, the QR Algorithm and the Center Manifold Theory

    Moody T. Chu

  • Numerical methods for inverse singular value problems3

    Moody T. Chu

  • Spillover Phenomenon in Quadratic Model Updating

    Moody T. Chu;Biswa Datta;Wen-Wei Lin;Shufang Xu

  • On Inverse Quadratic Eigenvalue Problems with Partially Prescribed Eigenstructure

    Moody T. Chu;Yuen-Cheng Kuo;Wen-Wei Lin

  • Isospectral Flows and Abstract Matrix Factorizations

    Moody T. Chu;Larry K. Norris

  • Constructing symmetric nonnegative matrices with prescribed eigenvalues by differential equations

    Moody T. Chu;Kenneth R. Driessel

  • The Orthogonally Constrained Regression Revisited

    Moody T Chu;Nickolay T Trendafilov

  • A simple application of the homotopy method to symmetric eigenvalue problems

    Moody T. Chu

  • Updating quadratic models with no spillover effect on unmeasured spectral data

    Moody T. Chu;Wen-Wei Lin;Shu Fang Xu

  • A continuous Jacobi-like approach to the simultaneous reduction of real matrices

    Moody T. Chu

Frequent Co-Authors

Gene H. Golub
Gene H. Golub Stanford University
Robert J. Plemmons
Robert J. Plemmons Wake Forest University
Carl Tim Kelley
Carl Tim Kelley North Carolina State University
Raymond T. Ng
Raymond T. Ng University of British Columbia
Morteza G. Khaledi
Morteza G. Khaledi The University of Texas at Arlington
Liqun Qi
Liqun Qi Hong Kong Polytechnic University

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