Inverse Eigenvalue Problems

Inverse Eigenvalue Problems is a class of mathematical problems in linear algebra where the goal is to determine a matrix with a specified structure that possesses a given set of eigenvalues, distinguishing it from standard eigenvalue problems by reversing the conventional input-output relationship.

697

Publications

26.8K

Citations

980

Authors

503

Institutions

Publications per year

2017–2026

70

Variants

Inverse Eigenvalue Problem

Authors

980

  1. RL
    Ricardo L. Soto

    Universidad Católica del Norte, Chile

    15 publications · 406 citations

    13

    h-index

  2. ZB
    Zheng‐Jian Bai

    Xiamen University, China

    12 publications · 306 citations

    11

    h-index

  3. MT
    Moody T. Chu

    North Carolina State University, United States

    10 publications · 578 citations

    10

    h-index

  4. JR
    Joyce R. McLaughlin

    Rensselaer Polytechnic Institute, United States

    9 publications · 415 citations

    9

    h-index

  5. XH
    Xi-Yan Hu

    Hunan University, China

    9 publications · 248 citations

    9

    h-index

1–5 of 980

Venues

  1. Linear Algebra and its Applications

    109 publications · 3.3K citations

    33

    h-index

  2. Inverse Problems

    58 publications · 2.1K citations

    25

    h-index

  3. SIAM Journal on Matrix Analysis and Applications

    25 publications · 986 citations

    18

    h-index

  4. Applied Mathematics and Computation

    24 publications · 590 citations

    15

    h-index

  5. SIAM Journal on Numerical Analysis

    14 publications · 1.1K citations

    14

    h-index

1–5