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1.1. Notes and References
Traub, J. F., Wasilkowski, G. W., and Woźniakowski, H. (1988), Information-based complexity, Academic Press, New York.
2.6. Notes and References
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Wasilkowski, G. W. (1986b). Optimal algorithms for linear problems with Gaussian measures, Rocky Mountain J. Math. 16, 727–749.
Micchelli, C. A. (1984), Orthogonal projections are optimal algorithms, J. Approx. Theory 40, 101–110.
Wasilkowski, G. W., and Woźniakowski, H. (1984), Can adaption help on the average?, Numer. Math. 44, 169–190.
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Lee, D., and Wasilkowski, G. W. (1986), Approximation of linear functionals on a Banach space with a Gaussian measure, J. Complexity 2, 12–43.
Wasilkowski, G. W. (1986b). Optimal algorithms for linear problems with Gaussian measures, Rocky Mountain J. Math. 16, 727–749.
Wasilkowski, G. W., and Woźniakowski, H. (1984), Can adaption help on the average?, Numer. Math. 44, 169–190.
Wasilkowski, G. W., and Woźniakowski, H. (1984), Can adaption help on the average?, Numer. Math. 44, 169–190.
Munch, N. J. (1990), Orthogonally invariant measures and best approximation of linear operators, J. Approx. Theory 61, 158–177.
Wasilkowski, G. W. (1986a), Information of varying cardinality, J. Complexity 2, 204–228.
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3.1. Notes and References
Müller-Gronbach, T., and Ritter, K. (1998), Spatial adaption for predicting random functions, Ann. Statist. 26, 2264–2288.
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4.1. Notes and References
Graf, S., and Novak, E. (1990), The average error of quadrature formulas for functions of bounded variation, Rocky Mountain J. Math. 20, 707–716.
Novak, E. (1992), Quadrature formulas for monotone functions, Proc. Amer. Math. Soc. 115, 59–68.
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Ritter, K. (2000). Nonlinear methods for linear problems. In: Ritter, K. (eds) Average-Case Analysis of Numerical Problems. Lecture Notes in Mathematics, vol 1733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0103941
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DOI: https://doi.org/10.1007/BFb0103941
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