REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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BELSLEY, D.A. On the efficient computation of the nonlinear full-information maximum-likelihood estimator. J. Econometrics 14 (1980), 203-225.
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DSNNIS, J.E., AND MEI, H.H.W. Two new unconstrained optimization algorithms which use function and gradient values. J. Optim. Theory Appl. 28 (1979), 453-482.
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DENNIS, J.E., AND MOR~, J.J. A characterization of superlinear convergence and its application to quasi-Newton methods. Math. Comput. 28 (1974), 549-560.
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DENNIS, J.E., AND MOR~, J.J. Quasi-Newton methods, motivation and theory. SIAM Rev. 19 (1977), 46-89.
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GAY, D.M. Some tips for writing portable software. Tech. Rep. TR-14, Center for Computer Research in Economics and Management Science, Mass. Inst. Technol., Cambridge, 1980.
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GAY, D.M. Computing optimal locally constrained steps. SIAM J. Sci. Statist. Comput. 2 (1981), 186-197.
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GAY, D.M. On convergence testing in model/trust-region algorithms for unconstrained optimization. Computing Science Tech. Rep. 104, Bell Laboratories, Murray Hill, N.J., 1982.
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GOLDFARB, D. Factorized variable metric methods for unconstrained optimization. Math. Cornput. 30 (1976), 796-811.
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GOLUB, G.H., AND PEREYRA, V. The differentiation of pseudo-inverses and nonlinear least squares problems whose variables separate. SIAM J. Numer. Anal. 10 (1973), 413-432.
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KROGH, F.T. VODQ/SVDQ/DVDQ--Variable order integrators for the numerical solution of ordinary differential equations. Subroutine Write-Up, Sec. 314, Jet Propulsion Lab., Pasadena, Calif., 1969.
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MoR~, J.J., AND SORENSEN, D.C. Computing a trust region step. Tech. Rep. ANL-81-83, Applied Mathematics Division, Argonne National Lab, Argonne, Ill., 1981.
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POWELL, M.J.D. A new algorithm for unconstrained optimization. In Nonlinear Programming, J.B. Rosen, O.L. Mangasarian, and K. Ritter (Eds.), Academic Press, New York, 1970.
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POWELL, M.J.D. A FORTRAN subroutine for unconstrained minimization, requiring first derivatives of the objective function. Rep. AERE-R.6469, A.E.R.E. Harwell, Oxon., England, 1970.
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Harold A. Scheraga , Jooyoung Lee , Jarosław Pillardy , Yuan-Jie Ye , Adam Liwo , Daniel Ripoll, Surmounting the Multiple-Minima Problem in Protein Folding, Journal of Global Optimization, v.15 n.3, p.235-260, October 1999
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