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2

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3

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4

CRANE, R.L., GARBOW, B.S., HILLSTROM, K.E., AND MINKOFF, U. LCLSQ: An implementation of an algorithm for hnearly constrained linear least-squares problems. Mathematics and Computers Rep. ANL-80-116, Argonne National Laboratory, Argonne, Ill., Nov., 1980.

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FLETCHER, R A general quadratic programming algorithm. J. Inst. Math. Appl. 7 (1971), 76-91.

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Richard J. Hanson , Karen H. Haskell, Algorithm 587: Two Algorithms for the Linearly Constrained Least Squares Problem, ACM Transactions on Mathematical Software (TOMS), v.8 n.3, p.323-333, Sept. 1982  [doi>10.1145/356004.356010]

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LYNESS, J.N. A benchmark experiment for minimization algorithms. Math. Comput. 33 (1979), 249-264.

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William M. Michaels , Richard P. O'Neill, A Mathematical Program Generator MPGENR, ACM Transactions on Mathematical Software (TOMS), v.6 n.1, p.31-44, March 1980  [doi>10.1145/355873.355876]

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MINKOFF, M. Methods for evaluating nonlinear programming software. In Nonhnear Programmmg 4, O.L Mangasarian, R.R. Meyer and S.M. Robinson (Eds.), Academic Press, New York (1981), pp. 519-548.

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SANDGREN, E. AND RAGSDELL, K.M. On some experiments whmh delimit the utihty of nonlinear programming methods for engineering design. In Mathematical Programming Study 16, A.G. Buckley and J.-L. Goffin (Eds.), Elsevier-North Holland, New York (1982), 118-136.

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SCHITTKOWSKI, K. AND STOER, J. A factorization method for constrained least squares problems with data changes: Part L Theory. Numer Math. 3l (1979), 431-463.

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STEWART, G.W. The efficmnt generation of random orthogonal matrices with an apphcation to condition estimators. SIAM J Numer Anal. 17 (1980), 403-409.

19

STEWART, G W. Constrained definite Hessians tend to be well-conditioned. Math Program. 21 (1981), 235-238.

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VAN DAM, W.B., FRENK, J.B.G., AND TELGEN, J. Randomly generated polytopes for testing mathematical programming algorithms. Math Program. 26 (1983), 172-181.

Paul H. Calamai , Luis N. Vicente, Generating quadratic bilevel programming test problems, ACM Transactions on Mathematical Software (TOMS), v.20 n.1, p.103-119, March 1994

Panos M. Pardalos, Generation of large-scale quadratic programs for use as global optimization test problems, ACM Transactions on Mathematical Software (TOMS), v.13 n.2, p.133-137, June 1987

Degang Liu , Xiang-Sun Zhang, Test Problem Generator by Neural Network for Algorithms that Try Solving Nonlinear Programming Problems Globally, Journal of Global Optimization, v.16 n.3, p.229-243, March 2000

Melanie L. Lenard: colleagues

Michael Minkoff: colleagues