- 1 ARMSTRONG, R D, AND HULTZ, J.W. An algorithm for a restricted discrete approximation m the L~ norm. SIAM J Numer Anal. 14 (1977), 555-565Google Scholar
- 2 BARTELS, R H, CONN, A.R, AND CHARALAMBOUS, C On Cline's direct method for solving overdetermined systems on the l~ sense SIAM J Numer Anal 15 (1978), 255-270.Google Scholar
- 3 BARTELS, R H, CONN, A R, AND SINCLAIR, J.W. Minimization techmques for plecewise differentlable functions--The It solution to an overdetermined hnear system SIAM J Numer. Anal. 15 (1978), 224-241Google Scholar
- 4 CONN, A R, AND PIETRZYKOWSKI, T. A penalty-function method converging directly to a constrained optimum SIAM J Numer Anal 14 (1977), 348-375Google Scholar
- 5 KNUTH, D.E. The Art of Computer Programming, Vol. 3, "Sorting and Searching" Addison Wesley, Reading, Mass., 1975 Google Scholar
- 6 LawsoN, C.L., HANSON, R.J., KINCAID, D.R., AND KROGH, F.T. Basic linear algebra subprograms for Fortran usage. ACM Trans. Math Softw. 5, 3 (Sept 1979), 308-323. Google Scholar
- 7 RYDER, B.G. The PFORT verifier. Software Practice and Experzence 4 (1974), 359-377Google Scholar
Index Terms
- Linearly Constrained Discrete I1 Problems
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