- 1 Wolfson, M.L., and Wright, H.V. Combinatorial of Mthings taken N at a time. Comm. ,4CM 6, 4 (Apr. 1963), 161. Google ScholarDigital Library
- 2 Pearson, K. (Ed.). Tables of the Incomplete Beta Function. Cambridge U. Press, Cambridge, England, 1948.Google Scholar
- 1 Lemke, C.E. Bimatrix equilibrium points and mathematical programming. Management Sci. 11 (1965), 681-689.Google ScholarDigital Library
- 2 Ravindran, A. Computational aspects of Lemke's complementary algorithm applied to linear programs. Opsearch 7 (1970), 241-262.Google Scholar
- 3 Ravindran, A. A comparison of the primal simplex and complementary pivot methods for linear programming. Naval Res. Log. Q. 20 (1972), 95-100.Google ScholarCross Ref
- 4 Eaves, B.C. On quadratic programming. Management Sci. 17 (1971), 698-711.Google ScholarCross Ref
- 5 Eaves, B.C. The linear complementarity problem. Management Sci. 17 (1971), 612-634.Google ScholarCross Ref
- 6 Clasen, R.J. Techniques for automatic tolerance control in linear programming. Comm. ACM9 (1966), 802-803. Google ScholarDigital Library
- 1 Bultheel, A. Remark on Algorithm 450. Comm. ACM 17, 8 (Aug. 1974), 470.Google Scholar
- 2 Williams, T.J., and Otto, R.E. A generalized chemical processing model for the investigation computer control. A.LE.E. Trans. 79, P. 1, Communications and Electronics, (1960), 458-473Google Scholar
- 3 Kleme, J., and Vasek, V. Methods for optimizing complex chemical processes. In P roe. 2nd Symp. on Use of Computers in Chemical Engineering, CVTS, IAstinad Labem, Czechoslovakia, Sept. 1973, pp. O 84-0 102Google Scholar
Index Terms
- A computer routine for quadratic and linear programming problems
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