## Abstract In this paper, two new matrixβform iterative methods are presented to solve the leastβsquares problem: and matrix nearness problem: where matrices $A\in R^{p\times n\_1},B\in R^{n\_2\times q},C\in R^{p\times m\_1},D\in R^{m\_2\times q},E\in R^{p\times q},\widetilde{X}\in R^{n\_1\time
β¦ LIBER β¦
Efficient Solution of Constrained Least Squares Problems with Kronecker Product Structure
β Scribed by Barrlund, Anders
- Book ID
- 118216156
- Publisher
- Society for Industrial and Applied Mathematics
- Year
- 1998
- Tongue
- English
- Weight
- 206 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0895-4798
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