A computational framework of gradient flows for general linear matrix equations

Author:

Wang Liqi,Chu Moody T.,Bo Yu

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Reference59 articles.

1. P.-A. Absil, R. Mahony, B. Andrews: Convergence of the iterates of descent methods for analytic cost functions. SIAM. J. Optim. 16, 531–547 (2005)

2. P.-A. Absil, R. Mahony, R. Sepulchre: Optimization algorithms on matrix manifolds, Princeton University Press. NJ, Princeton (2008)

3. L. Ambrosio, N. Gigli, G. Savaré: Gradient flows in metric spaces and in the space of probability measures, Lectures in Mathematics ETH Zürich. Basel, second ed., Birkhäuser Verlag (2008)

4. A. C. Antoulas: Approximation of large-scale dynamical systems, vol. 6 of Advances in Design and Control, Society for Industrial and Applied Mathematics (SIAM), Philadelphia. With a foreword by Jan C. Willems, PA (2005)

5. J. K. Baksalary, R. Kala: The matrix equation A X−Y B=C. Linear Algebra Appl. 25, 41–43 (1979)

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