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1

Iske, Armin. Approximation Theory and Algorithms for Data Analysis. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05228-7.

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2

Motwani, Rajeev. Lecture notes on approximation algorithms. Stanford, CA: Dept. of Computer Science, Stanford University, 1992.

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3

C, Mason J., and Cox M. G, eds. Algorithms for approximation II: Based on the proceedings of the Second International Conference on Algorithms for Approximation, held at Royal Military College of Science, Shrivenham, July 1988. London: Chapman and Hall, 1990.

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4

Franke, Richard. Recent advances in the approximation of surfaces from scattered data. Monterey, Calif: Naval Postgraduate School, 1987.

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5

Ivanov, Viktor Vladimirovich. Metody vychisleniĭ na ĖVM: Spravochnoe posobie. Kiev: Nauk. dumka, 1986.

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6

Franke, Richard H. Least squares surface approximation to scattered data using multiquadric functions. Monterey, Calif: Naval Postgraduate School, 1993.

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7

Molchanov, I. N. Mashinnye metody reshenii͡a︡ prikladnykh zadach algebra, priblizhenie funkt͡s︡iĭ. Kiev: Nauk. dumka, 1987.

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8

K, Ray Bimal, ed. Polygonal approximation and scale-space analysis. Oakville, Ont: Apple Academic Press, 2013.

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9

C, Mason J., Cox M. G, and Institute of Mathematics and Its Applications., eds. Algorithms for approximation: Based on the proceedings of the IMA Conference on Algorithms for the Approximation of Functions and Data, held at the Royal Military College of Science, Shrivenham, July 1985. Oxford [Oxfordshire]: Clarendon Press, 1987.

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10

Eitan, Tadmor, Institute for Computer Applications in Science and Engineering., and Langley Research Center, eds. Recovering pointwise values of discontinuous data within spectral accuracy. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1985.

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11

Hromadka, Theodore V. The best approximation method: An introduction. Berlin: Springer-Verlag, 1987.

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12

Hromkovič, Juraj. Algorithmics for Hard Problems: Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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13

IMACS World Congress on Systems Simulation and Scientific Computation. (11th 1985 Oslo, Norway). Numerical mathematics and applications. Amsterdam: North-Holland, 1986.

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14

Hromadka, Theodore V. The best approximation method in computational mechanics. London: Springer-Verlag, 1993.

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15

Hromadka, Theodore V. The Best Approximation Method in Computational Mechanics. London: Springer London, 1993.

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16

1942-, Chong K. P., ed. Approximate solution methods in engineering mechanics. London: Elsevier Applied Science, 1991.

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17

Melby, Jeffrey A. Dolos design procedure based on Crescent City prototype data. [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1993.

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18

International Workshop on Approximation Algorithms for Combinatorial Optimization Problems (1998 Aalborg, Denmark). Approximation algorithms for combinatorial optimization: International workshop, APPROX '98, Aalborg, Denmark, July 18-19, 1998 : proceedings. Berlin: Springer, 1998.

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19

Workshop on Approximation Algorithms for Combinatorial Optimization Problems (3rd 2000 Saarbrücken, Germany). Approximation algorithms for combinatorial optimization: Third international workshop, APPROX 2000, Saarbrücken, Germany, September 5-8, 2000 : proceedings. Berlin: Springer, 2000.

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20

Troi͡an, V. N. Metody approksimat͡sii geofizicheskikh dannykh na ĖVM. Leningrad: Izd-vo Leningradskogo universiteta, 1989.

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21

Eremic, John C. Iterative methods for estimation of 2-D AR parameters using a data-adaptive Toeplitz approximation algorithm. Monterey, Calif: Naval Postgraduate School, 1991.

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22

Ghysels, Eric. Dynamic regression and filtered data series: A Laplace approximation to the effects of filtering in small samples. Bristol: Bristol University, Department of Economics, 1993.

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23

P, Dikshit H., and Micchelli Charles A, eds. Proceedings of the Conference on Advances in Computational Mathematics: New Delhi, India, January 5-9, 1993. Singapore: World Scientific, 1994.

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24

Lenda, Grzegorz. Rozwinięcie metod tworzenia funkcji sklejanych w aspekcie budowy modeli na podstawie danych dyskretnych: Development of the methods to spline functions in terms of building models based on discrete data. Kraków: Wydawnictwa AGH, 2012.

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25

Jansen, Klaus. Approximation and Online Algorithms: 8th International Workshop, WAOA 2010, Liverpool, UK, September 9-10, 2010. Revised Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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26

Evripidis, Bampis, Jansen Klaus, and Kenyon Claire, eds. Efficient approximation and online algorithms: Recent progress on classical combinatorical optimization problems and new applications. New York: Springer, 2006.

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27

Evripidis, Bampis, Jansen Klaus, and Kenyon Claire, eds. Efficient approximation and online algorithms: Recent progress on classical combinatorical optimization problems and new applications. New York: Springer, 2006.

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28

Hromkovič, Juraj. Algorithmics for hard problems: Introduction to combinatorial optimization, randomization, approximation, and heuristics, with 71 figures. 2nd ed. Berlin: Springer-Verlag, 2004.

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29

1963-, Kunoth Angela, and SpringerLink (Online service), eds. Multiscale, Nonlinear and Adaptive Approximation: Dedicated to Wolfgang Dahmen on the Occasion of his 60th Birthday. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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30

International Workshop on Approximation Algorithms for Combinatorial Optimization Problems (3rd 2000 Saarbrücken, Germany). Approximation algorithms for combinatorial optimization: Third international workshop, APPROX 2000, Saarbrucken, Germany, September 5-8, 2000 : proceedings. Berlin: Springer, 2000.

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31

David, Hutchison. Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques: 11th International Workshop, APPROX 2008, and 12th International Workshop, RANDOM 2008, Boston, MA, USA, August 25-27, 2008. Proceedings. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

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32

Wendland, Holger. Scattered Data Approximation. Cambridge University Press, 2000.

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33

Wendland, Holger. Scattered Data Approximation. Cambridge University Press, 2004.

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34

Wendland, Holger. Scattered Data Approximation. Cambridge University Press, 2010.

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35

Wendland, Holger. Scattered Data Approximation. Cambridge University Press, 2007.

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36

SCATTERED DATA APPROXIMATION. CAMBRIDGE: CAMBRIDGE UNIV PRESS, 2004.

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37

Mason, J. C., and M. G. Cox. Algorithms for Approximation 2 (Chapman & Hall Mathematics). Chapman & Hall, 1990.

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38

Vazirani, Vijay V. Approximation Algorithms. Springer London, Limited, 2013.

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39

Vazirani, Vijay V. Approximation Algorithms. Springer, 2010.

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40

Apprato, Dominique, Zoé Lambert, and Christian Gout. DATA APPROXIMATION: Mathematical Modelling and Numerical Simulations. EDP Sciences, 2019.

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41

Iske, Armin. Approximation Theory and Algorithms for Data Analysis. Springer, 2018.

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42

Schmälze, Stephan Andreas. New methods for nurbs surface approximation to scattered data. 2001.

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43

Meshfree approximation methods with MATLAB. Singapore: World Scientific, 2007.

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44

Wendland, Holger. Scattered Data Approximation (Cambridge Monographs on Applied and Computational Mathematics). Cambridge University Press, 2010.

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45

Yan, Xudong. A relative approximation algorithm for computing the path-width of outerplanar graphs. 1989.

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46

Wendland, Holger. Scattered Data Approximation (Cambridge Monographs on Applied and Computational Mathematics). Cambridge University Press, 2004.

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47

Fitting Smooth Functions to Data. American Mathematical Society, 2020.

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48

Mason, J. C., and M. G. Cox. Algorithms for Approximation (Institute of Mathematics and Its Applications Conference Series New Series). Oxford University Press, USA, 1987.

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49

Hromadka, Theodore V. Best Approximation Method an Introduction. Springer London, Limited, 2012.

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50

Trangenstein, John A. Scientific Computing: Vol. III - Approximation and Integration (Texts in Computational Science and Engineering). Springer, 2018.

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