Keywords
- Markov Transition Probability
- Algorithm NNLS
- Problem NNLS
- Mathematical Programming Literature
- Minimal Euclidean Length
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Richard Bartels, Constrained Least Squares, Quadratic Programming, Complementary Pivot Programming and Duality, Proceedings of the 8th Annual Symposium on the Interface of Computer Science & Statistics, Health Science Computing Facility, Univ. of Calif., Los Angeles, Feb. 1975, pp. 267–271.
P.J. Denning, guest editor, ACM Computing Surveys, Special issue on programming, Vol 6, No. 4, (1974), pp. 209–319.
James K. Hightower, An Algorithm for Computing Restricted Least-Squares Estimates of Markov Transition Probabilities from Time-Series Data, Proceedings of the 8th Annual Symposium on the interface of Computer Science and Statistics, Health Science Computing Facility, Univ. of Calif., Los Los Angeles, Feb. 1975, pp. 238–241.
C.L. Lawson and R.J. Hanson, Solving Least Squares Problems, Prentice-Hall, Inc., (1974)
G.W. Stewart, Introduction to Matrix Computations, Academic Press, (1973).
Josef Stoer, On the Numerical Solution of Constrained Least-Squares Problems, SIAM J. Numer. Anal., Vol 8, No. 2, (1971), pp. 382–411.
Philip Wolfe, Algorithm for a Least-Distance Programming Problem, Mathematical Programming Study 1, (1974), pp. 190–205, North-Holland Publ. Co.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1976 Springer-Verlag
About this paper
Cite this paper
Lawson, C.L. (1976). On the discovery and description of mathematical programming algorithms. In: Watson, G.A. (eds) Numerical Analysis. Lecture Notes in Mathematics, vol 506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0080122
Download citation
DOI: https://doi.org/10.1007/BFb0080122
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-07610-0
Online ISBN: 978-3-540-38129-7
eBook Packages: Springer Book Archive
