Abstract
We analyze the computational complexity of the problem of interpolating real algebraic functions given by a black box for their evaluations, extending the results of [GKS 90b, GKS 91b] on interpolation of sparse rational functions.
Supported in part by Leibniz Center for Research in Computer Science, by the DFG, Grant KA 673/4–1 and by the SERC Grant GR-E 68297
Supported in part by NSF Grant DMS-9024624
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Grigoriev, D., Karpinski, M., Singer, M. (1993). Computational Complexity of Sparse Real Algebraic Function Interpolation. In: Eyssette, F., Galligo, A. (eds) Computational Algebraic Geometry. Progress in Mathematics, vol 109. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-2752-6_7
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DOI: https://doi.org/10.1007/978-1-4612-2752-6_7
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