A direct method for sparse least squares problems with lower and upper bounds-Reference-Cited by-同舟云学术

A direct method for sparse least squares problems with lower and upper bounds

Published:1988-01 Issue:1 Volume:54 Page:19-32
ISSN:0029-599X
Container-title:Numerische Mathematik
language:en
Short-container-title:Numer. Math.

Author:

Bj�rck �ke

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Link

http://link.springer.com/content/pdf/10.1007/BF01403888.pdf

Reference27 articles.

1. Bartels, R.: Constrained least squares, quadratic programming, complementary pivot programming and duality. In: Proceedings of Computer Science and Statistics 8th Annual Symposium on the Interface 1975

2. Björck, Å.: Stability analysis of the method of semi-normal-equations for linear least squares problems. Linear Algebra Appl.88/89, 31?48 (1987)

3. Björck, Å.: Least squares methods. In: Handbook of Numerical Analysis, Vol. II. (P.G. Ciarlet, J.L. Lions, eds.). Amsterdam New York: Elsevier/North-Holland 1988 (in press)

4. Coleman, T.F., Edenbrandt, A., Gilbert, J.R.: Predicting fill for sparse orthogonal factorization. J. ACM33, 517?532 (1983)

5. Cottle, R.W., Golub, G.H., Sacher, R.S.: On the solution of large structured linear complementarity problems: The block partitioned case. Appl. Math. Optimization4, 347?363 (1978)

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