Active set algorithms for isotonic regression; A unifying framework-Reference-Cited by-同舟云学术

Active set algorithms for isotonic regression; A unifying framework

Published:1990-05 Issue:1-3 Volume:47 Page:425-439
ISSN:0025-5610
Container-title:Mathematical Programming
language:en
Short-container-title:Mathematical Programming

Author:

Best Michael J.,Chakravarti Nilotpal

Publisher

Springer Science and Business Media LLC

Subject

General Mathematics,Software

Link

http://link.springer.com/content/pdf/10.1007/BF01580873.pdf

Reference25 articles.

1. M. Ayer, H.D. Brunk, G.M. Ewing, W.T. Reid and E. Silverman, “An empirical distribution function for sampling with incomplete information,”Annals of Mathematical Statistics 26 (1955) 641–647.

2. M.L. Balinski, “A competitive (dual) simplex method for the assignment problem,”Mathematical Programming 34 (1986) 125–141.

3. R.E. Barlow, D.J. Bartholomew, D.J. Bremner and H.D. Brunk,Statistical Inference Under Order Restrictions (Wiley, New York, 1972).

4. M.J. Best, “Equivalence of some quadratic programming algorithms,”Mathematical Programming 30 (1984) 71–87.

5. M.J. Best and N. Chakravarti, “An O(n 2) algorithm for a certain parametric quadratic programming problem,” Research Report CORR 87-23, University of Waterloo (Waterloo, Ont., 1987).

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