Abstract
In this paper, a continuous method approach is adopted to study both the entire process and the limiting behaviors of the dual affine scaling continuous trajectories for linear programming. Our approach is different from the method presented by Adler and Monteiro (Adler and Monteiro, Math. Program. 50:29–51, 1991). Many new theoretical results on the trajectories resulting from the dual affine scaling continuous method model for linear programming are obtained.
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References
Karmarkar, N.: A new polynomial-time algorithm for linear programming. Combinatorica 4, 373–395 (1984)
Roos, C., Terlaky, T., Vial, J.-P.: Theory and Algorithms for Linear Optimization. Wiley, Chichester (1997)
Ye, Y.Y.: Interior Point Algorithms—Theory and Analysis. Wiley, New York (1997)
Bayer, D.A., Lagarias, J.C.: The nonlinear geometry of linear programming. I Affine and projective scaling trajectories. Trans. Am. Math. Soc. 314, 499–526 (1989)
Gonzaga, C.C.: Interior point algorithms for linear programming with inequality constraints. Math. Program., Ser. B 52, 209–225 (1991)
den Hertog, D., Roos, C.: A survey of search directions in interior point methods for linear programming. Math. Program. 52, 481–509 (1991)
Tsuchiya, T.: Affine scaling algorithm. In: Terlaky, T. (ed.) Interior Point Methods of Mathematical Programming, pp. 35–82. Kluwer Academic, Amsterdam (1996)
Bayer, D.A., Lagarias, J.C.: The nonlinear geometry of linear programming. II Legendre transform coordinates and central trajectories. Trans. Am. Math. Soc. 314, 527–581 (1989)
Megiddo, N., Shub, M.: Boundary behavior of interior point algorithms for linear programming. Math. Oper. Res. 14, 97–146 (1989)
Adler, I., Monteiro, R.D.C.: Limiting behavior of the affine scaling continuous trajectories for linear programming problems. Math. Program. 50, 29–51 (1991)
Monteiro, R.D.C.: Convergence and boundary behavior of the projective scaling trajectories for linear programming. Math. Oper. Res. 16, 842–858 (1991)
Liao, L.-Z., Qi, H.D., Qi, L.Q.: Neurodynamical optimization. J. Glob. Optim. 28, 175–195 (2004)
Chu, M.T., Lin, M.M.: Dynamical system characterization of the central path and its variants-a revisit. SIAM J. Appl. Dyn. Syst. 10, 887–905 (2011)
Stewart, G.W.: On scaled projections and pseudoinverses. Linear Algebra Appl. 112, 189–193 (1989)
Todd, M.J.: A Dantzig-Wolfe-like variant of Karmarkar’s interior-point linear programming algorithm. Oper. Res. 38, 1006–1018 (1990)
Slotine, J.J.E., Li, W.: Applied Nonlinear Control. Prentice Hall, New Jersey (1991)
Golub, G.H., Liao, L.-Z.: Continuous methods for extreme and interior eigenvalue problems. Linear Algebra Appl. 415, 31–51 (2006)
Rudin, W.: Principles of Mathematical Analysis, 3rd edn. McGraw-Hill, New York (1976)
Dennis, J.E. Jr., Schnabel, R.B.: Numerical Methods for Unconstrained and Optimization and Nonlinear Equations. SIAM, Philadelphia (1996)
Tseng, P., Luo, Z.-Q.: On the convergence of the affine-scaling algorithm. Math. Program. 56, 301–319 (1992)
Absil, P.-A., Mahony, R., Andrews, B.: Convergence of the iterates of descent methods for analytic cost functions. SIAM J. Optim. 16, 531–547 (2005)
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This author was supported in part by GRF grants HKBU201409 and HKBU201611 from the Research Grant Council of Hong Kong.
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Communicated by Xiao Qi Yang.
The author would like to thank two anonymous referees and the editor for their helpful comments and suggestions on the earlier version of this paper.
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Liao, LZ. A Study of the Dual Affine Scaling Continuous Trajectories for Linear Programming. J Optim Theory Appl 163, 548–568 (2014). https://doi.org/10.1007/s10957-013-0495-1
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DOI: https://doi.org/10.1007/s10957-013-0495-1