An iterative algorithm for a least squares solution of a matrix equation
Author:
Publisher
Informa UK Limited
Subject
Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications
Link
http://www.tandfonline.com/doi/pdf/10.1080/00207160802275977
Reference19 articles.
1. Matrix stretching for sparse least squares problems
2. Two Extensions of the Sard–Schoenberg Theory of Best Approximation
3. The symmetric solution of the matrix equations AX + YA = C, AXAT + BYBT = C, and (ATXA, BTXB) = (C, D)
4. Inverse scattering via Heisenberg's uncertainty principle
5. The structure of weighting coefficient matrices of harmonic differential quadrature and its applications
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