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On the discovery and description of mathematical programming algorithms

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Part of the Lecture Notes in Mathematics book series (LNM,volume 506)

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.

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References

  1. 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.

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  2. P.J. Denning, guest editor, ACM Computing Surveys, Special issue on programming, Vol 6, No. 4, (1974), pp. 209–319.

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  3. 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.

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  4. C.L. Lawson and R.J. Hanson, Solving Least Squares Problems, Prentice-Hall, Inc., (1974)

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  5. G.W. Stewart, Introduction to Matrix Computations, Academic Press, (1973).

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  6. Josef Stoer, On the Numerical Solution of Constrained Least-Squares Problems, SIAM J. Numer. Anal., Vol 8, No. 2, (1971), pp. 382–411.

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  7. Philip Wolfe, Algorithm for a Least-Distance Programming Problem, Mathematical Programming Study 1, (1974), pp. 190–205, North-Holland Publ. Co.

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© 1976 Springer-Verlag

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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

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  • DOI: https://doi.org/10.1007/BFb0080122

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-07610-0

  • Online ISBN: 978-3-540-38129-7

  • eBook Packages: Springer Book Archive