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A dual method for discrete Chebychev curve fitting

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Abstract

This paper presents a special purpose dual algorithm for obtaining a Chebychev approximation to an overdetermined system of linear equations. The method is founded on the principles of linear programming and is designed to take advantage of the problem's special structure. It is shown that, while maintaining a reduced basis, certain iterations of the standard dual algorithm may be combined into one. Two computer code implementations of the method are discussed and a computational comparison with another algorithm for Chebychev approximation is given.

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References

  1. R.D. Armstrong and D.S. Kung, “Min—max estimates for a linear multiple regression problem”,Applied Statistics 1 (1979) 93–100.

    Google Scholar 

  2. I. Barrodale and C. Phillips, “Solution of an overdetermined system of linear equations in the Chebyshev norm”,ACM Transactions on Mathematical Software 1(3) (1975) 264–270.

    Google Scholar 

  3. R.H. Bartels and G.H. Golub, “The simplex method of linear programming using LU decomposition”,Communications of the ACM 12 (1969) 266–268.

    Google Scholar 

  4. A. Ben-Israel and A. Charnes, “An explicit solution of a special class of linear programming problems”,Operations Research 16 (1968) 1166–1175.

    Google Scholar 

  5. P.T. Boggs, “A new algorithm for the Chebyshev solution of over-determined linear systems”,Mathematics of Computation 28 (1974) 203–217.

    Google Scholar 

  6. A. Charnes, “Optimality and degeneracy in linear programming”,Econometrica 20 (1952) 160–170.

    Google Scholar 

  7. A.K. Cline, “A descent method for the uniform solution to over-determined systems of linear equations”,SIAM Journal on Numerical Analysis 13 (1976) 293–309.

    Google Scholar 

  8. S. Forsythe and C.B. Moler,Computer solution of linear algebraic systems (Prentice-Hall, Englewood Cliffs, NJ, 1967).

    Google Scholar 

  9. J. Gilsinn, K. Hoffman, R.H.F. Jackson, E. Leyendecker, P. Saunders and D. Shier, “Computational comparisons ofL 1 approximation codes: A test case”, paper presented at ORSATIMS conference (Atlanta, GA, November 1977).

  10. L.S. Lasdon,Optimization theory for large systems (Macmillan Company, New York, 1970).

    Google Scholar 

  11. D. Moursund, “Chebyshev solution ofn + 1 linear equations inn unknowns”,Journal of the Association for Computing Machinery 12 (1965) 383–387.

    Google Scholar 

  12. P. Rabinowitz, “Applications of linear programming to numerical analysis”,SIAM Review 10 (1968) 121–159.

    Google Scholar 

  13. E. Stiefel, “Methods—old and new—for solving the Tschebyscheff approximation problem”,SIAM Journal on Numerical Analysis 1 (1964) 164–176.

    Google Scholar 

  14. E. Stiefel, “Note on Jordan elimination, linear programming and Tschebyscheff approximation”,Numerische Mathematik 2 (1960) 1–17.

    Google Scholar 

  15. E. Stiefel, “Uber diskrete und lineare Tschebyscheff Approximationen”,Numerische Mathematik 1 (1959) 1–28.

    Google Scholar 

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Armstrong, R.D., Kung, D.S. A dual method for discrete Chebychev curve fitting. Mathematical Programming 19, 186–199 (1980). https://doi.org/10.1007/BF01581640

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  • DOI: https://doi.org/10.1007/BF01581640

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