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Differential Conditions for Constrained Nonlinear Programming via Pareto Optimization

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Abstract

We deal with the differential conditions for local optimality. The conditions that we derive for inequality constrained problems do not require constraint qualifications and are the broadest conditions based on only first-order and second-order derivatives. A similar result is proved for equality constrained problems, although the necessary conditions require the regularity of the equality constraints.

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References

  1. Kuhn, H.W., Tucker, A.W.: Nonlinear programming. In: Neyman, J. (ed.) Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability, pp. 481–492. University of California Press, Berkeley (1951)

    Google Scholar 

  2. Karush, W.: Minima of functions of several variables with inequalities as side constraints. M.Sc. Dissertation, Department of Mathematics, University of Chicago, Chicago, IL (1939)

  3. Arrow, K.J., Hurwicz, L., Uzawa, H.: Constraint qualifications in maximization problems. Nav. Res. Logist. Q. 8, 175–191 (1961)

    Article  MATH  Google Scholar 

  4. Mangasarian, O.L., Fromovitz, S.: The Fritz John necessary optimality conditions in the presence of equality and inequality constraints. J. Math. Anal. Appl. 17, 37–47 (1967)

    Article  MATH  Google Scholar 

  5. Abadie, J.M.: On the Kuhn–Tucker theorem. In: Abadie J. (ed.) Nonlinear Programming, pp. 21–67. Wiley, New York (1967)

    Google Scholar 

  6. Bertsekas, D.P., Ozdaglar, A.E.: Pseudonormality and a Lagrange multiplier theory for constrained optimization. J. Optim. Theory Appl. 114, 287–343 (2002)

    Article  MATH  Google Scholar 

  7. Jeyakumar, V., Lee, G.M., Dinh, N.: New sequential Lagrange multiplier conditions characterizing optimality without constraint qualification for convex programs. SIAM J. Optim. 14, 534–547 (2003)

    Article  MATH  Google Scholar 

  8. Martinez, J.M., Svaiter, B.F.: A practical optimality condition without constraint qualifications for nonlinear programming. J. Optim. Theory Appl. 118, 117–133 (2003)

    Article  MATH  Google Scholar 

  9. Schichl, H., Neumaier, A.: Transposition theorems and qualification-free optimality conditions. http://www.mat.univie.ac.at/~neum/ms/trans.pdf (2005)

  10. Ye, J.J.: Constraint qualifications and necessary optimality conditions for optimization problems with variational inequality constraints. SIAM J. Optim. 10, 943–962 (2000)

    Article  MATH  Google Scholar 

  11. Izmailov, A.F., Solodov, M.V.: Complementarity constraint qualification via the theory of 2-regularity. SIAM J. Optim. 13, 368–385 (2002)

    Article  MATH  Google Scholar 

  12. Guerra Vazquez, F., Rückmann, J.J.R.: Extensions of the Kuhn–Tucker constraint qualification to generalized semi-infinite programming. SIAM J. Optim. 15, 926–937 (2005)

    Article  MATH  Google Scholar 

  13. Wan, Y.H.: On local Pareto optima. J. Math. Econ. 2, 35–42 (1975)

    Article  MATH  Google Scholar 

  14. Ben-Tal, A.: Second-order and related extremality conditions in nonlinear programming. J. Optim. Theory Appl. 31, 143–165 (1980)

    Article  MATH  Google Scholar 

  15. Staib, T.: On necessary and sufficient optimality conditions for multicriterial optimization problems. Math. Methods Oper. Res. 35, 231–248 (1991)

    Article  MATH  Google Scholar 

  16. Cambini, R.: Second order-optimality conditions in multiobjective programming. Optimization 44, 139–160 (1998)

    Article  MATH  Google Scholar 

Download references

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Correspondence to P. Serafini.

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Communicated by G. Di Pillo.

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Pascoletti, A., Serafini, P. Differential Conditions for Constrained Nonlinear Programming via Pareto Optimization. J Optim Theory Appl 134, 399–411 (2007). https://doi.org/10.1007/s10957-007-9216-y

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