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A Method Which Finds the Maxima and Minima of a Multivariable Function Applying Affine Arithmetic

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Numerical Analysis and Its Applications (NAA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3401))

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Abstract

A new method is proposed for finding all maxima and minima of a multivariable function f in a box X 0. In this method, the maxima and the minima are calculated by dividing X 0 into subregions recursively and bounding the ranges of f in the each subregion applying affine arithmetic[1][2] and discarding the subregions which don’t possess the possibility of including the point that the maximum (minimum) value occurs. Moreover, to discard more subregions in initial stage, i.e. to speed the new method, two algorithms are introduced. And to show the efficiency of the new method, some numerical examples are implemented.

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References

  1. Andrade, M.V.A., Comba, J.L.D., Stolfi, J.: Affine Arithmetic. In: INTERVAL 1994, St. petersburg (Russia), March 5-10 (1994)

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  2. de Figueiredo, L.H., Stolfi, J.: Self-Validated Numerical Methods and Applications. In: Brazilian Mathematics Colloquium monograph, IMPA, Rio de Janeiro, Brazil (July 1997)

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  3. Neumaier, A.: Interval methods for systems of equations. Cambridge University Press, Cambridge (1990)

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  4. Fujii, Y., Ichida, K., Kiyono, T.: A Method for Finding the Greatest Value of a Multivariable Function Using Interval Arithmetic. J. IPS Japan 18(11), 1095–1101 (1977) (In Japanese)

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© 2005 Springer-Verlag Berlin Heidelberg

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Miyajima, S., Kashiwagi, M. (2005). A Method Which Finds the Maxima and Minima of a Multivariable Function Applying Affine Arithmetic. In: Li, Z., Vulkov, L., Waśniewski, J. (eds) Numerical Analysis and Its Applications. NAA 2004. Lecture Notes in Computer Science, vol 3401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31852-1_51

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  • DOI: https://doi.org/10.1007/978-3-540-31852-1_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24937-5

  • Online ISBN: 978-3-540-31852-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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