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Methods for calculatingl p -minimum norm solutions of consistent linear systems

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Abstract

This paper describes, analyzes, and tests methods for solvingl p -minimum norm problems of the form

$$\min \left\| x \right\|_p^p /p,s.t.Ax = b,$$

where 1<p<∞ andA x=b is a consistent system of linear equations. The paper presents a primal Newton method for problems withp>2 and a dual Newton method that is suitable when 1<p<2. Primaldual methods are also introduced. Numerical experiments illustrate the usefulness of the proposed methods.

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References

  1. Luenberger, D. G.,Optimization by Vector Space Methods, John Wiley, New York, New York, 1969.

    Google Scholar 

  2. Cadzow, J. A.,Algorithm for the Minumum-Effort Control Problem, IEEE Transactions on Automatic Control, Vol. 16, pp. 60–63, 1971.

    Article  Google Scholar 

  3. Cadzow, J. A., A Finite Algorithm for the Minimum l-Solution to a System of Consistent Linear Equations, SIAM Journal on Numerical Analysis, Vol. 10, pp. 607–617, 1973.

    Article  Google Scholar 

  4. Kolev, L.,Iterative Algorithm for the Minimum Fuel and Minimum Amplitude Problems for Linear Discrete Systems, International Journal of Control, Vol. 21, pp. 779–784, 1975.

    Google Scholar 

  5. Gill, P. E., Murray, W., andWright, M. H.,Practical Optimization, Academic Press, London, England.

  6. Golub, G. H., andVan Loan, C. F.,Matrix Computations, Johns Hopkins University Press, Baltimore, Maryland, 1983.

    Google Scholar 

  7. Gill, P. E., Murray, W., andWright, M. H.,Numerical Linear Algebra and Optimization, Vol. 1, Addison-Wesley, Redwood City, California, 1991.

    Google Scholar 

  8. Barrodale, I., andRoberts, F. D. K., Application of Mathematical Programming to lp-Approximation, Nonlinear Programming, Edited by J. B. Rosen, O. L. Mangasarian, and K. Ritter, Academic Press, New York, New York, pp. 447–464, 1970.

    Google Scholar 

  9. Daniels, R. W.,An Introduction to Numerical Methods and Optimization Techniques, North-Holland, New York, New York, 1978.

    Google Scholar 

  10. Ekblom, H., Calculation of Linear Best Lp-Approximation, BIT, Vol. 13, pp. 292–300, 1973.

    Article  Google Scholar 

  11. Fischer, J., An Algorithm for Discrete Linear Lp-Approximation, Numerische Mathematik, Vol. 38, pp. 129–139, 1981.

    Article  Google Scholar 

  12. Fletcher, R., Grant, J. A., andHebden, M. D., The Calculation of Linear Best Lp-Approximations, Computer Journal, Vol. 14, pp. 226–279, 1971.

    Article  Google Scholar 

  13. Goldstein, A. A., Levine, N., andHereshoff, J. B.,On the Best and Least Qth Approximation of an Overdetermined System of Linear Equations, Journal of the Association for Computing Machinery, Vol. 4, pp. 341–347, 1957.

    Google Scholar 

  14. Kahng, S. W., Best Lp-Approximation, Mathematics of Computation, Vol. 26, pp. 505–508, 1972.

    Google Scholar 

  15. Li, Y., A Globally Convergent Method for Lp-Problems, Technical Report No. 91-1212, Department of Computer Science, Cornell University, 1991.

  16. Merle, G., andSpäth, H., Computational Experiences with Discrete Lp-Approximation, Computing, Vol. 12, pp. 315–321, 1974.

    Google Scholar 

  17. Osborne, M. R.,Finite Algorithms in Optimization and Data Analysis, John Wiley, Chichester, England, 1985.

    Google Scholar 

  18. Sreedharen, V. P.,Solutions of Overdetermined Linear Equations Which Minimize Error in an Abstract Norm, Numerische Mathematik, Vol. 13, pp. 146–151, 1969.

    Article  Google Scholar 

  19. Sreedharen, V. P.,Least Squares Algorithms for Finding Solutions of Overdetermined Linear Equations Which Minimize Error in an Abstract Norm, Numerische Mathematik, Vol. 13, pp. 387–401, 1971.

    Article  Google Scholar 

  20. Sreedharen, V. P.,Least-Squares Algorithms for Finding Solutions of Overdetermined Systems of Linear Equations Which Minimize Error in a Smooth Strictly Convex Norm, Journal of Approximation Theory, Vol. 8, pp. 46–61, 1973.

    Article  Google Scholar 

  21. Waston, G. A., On Two Methods for Discrete Lp-Approximation, Computing, Vol. 18, pp. 263–266, 1977.

    Google Scholar 

  22. Wolfe, J. M., On the Convergence of An Algorithm for Discrete Lp-Approximation, Numerische Mathematik, Vol. 32, pp. 439–459, 1979.

    Article  Google Scholar 

  23. Dax, A.,A Note on Minimum Norm Solutions,Journal of Optimization Theory and Applications, Vol. 76, pp. 183–193, 1993.

    Article  Google Scholar 

  24. Ortega, J. M., andRheinboldt, W. C.,Iterative Solution of Nonlinear Equations in Several Variables, Academic Press, New York, New York, 1970.

    Google Scholar 

  25. Fletcher, R.,Practical Methods of Optimization, Vol. 1: Unconstrained Optimization, John Wiley, New York, New York, 1980.

    Google Scholar 

  26. McCormick, G. P.,Nonlinear Programming, John Wiley, New York, New York, 1983.

    Google Scholar 

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Communicated by D. G. Luenberger

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Dax, A. Methods for calculatingl p -minimum norm solutions of consistent linear systems. J Optim Theory Appl 83, 333–354 (1994). https://doi.org/10.1007/BF02190061

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