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1

R, Hanebutte Ulf, and Langley Research Center, eds. A parallel adaptive mesh refinement algorithm. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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2

Birtles, B. The BRESTART self adaptive optimum start algorithm. Watford: Building Research Establishment, 1985.

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3

O'Toole, Gregory J. An investigation of the UTIAS adaptive washout algorithm. Ottawa: National Library of Canada, 1995.

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4

G, Hills Richard, and United States. National Aeronautics and Space Administration., eds. An adaptive grid algorithm for one-dimensional nonlinear equations. [Washington, DC: National Aeronautics and Space Administration, 1990.

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5

Shapiro, Richard A., ed. Adaptive Finite Element Solution Algorithm for the Euler Equations. Wiesbaden: Vieweg+Teubner Verlag, 1991. http://dx.doi.org/10.1007/978-3-322-87879-3.

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6

Ashby, Steven F. ChebyCode, a FORTRAN implementation of Manteuffel's adaptive Chebyshev algorithm. Urbana, IL (1304 W. Springfield Ave., Urbana 61801-2987): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1985.

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7

Shapiro, Richard A. Adaptive finite element solution algorithm for the Euler equations. Braunschweig: Vieweg, 1991.

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8

Zaharia, Ramona. Adaptive compression algorithm for full colour three dimensional integral images. Leicester: De Montfort University, 2001.

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9

Rogers, David. G/SPINES: A hybird of friedman's multivariate adaptive regression splines (MARS) algorithm with Holland's genetic algorithm. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1991.

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10

United States. National Aeronautics and Space Administration., ed. The minimal time detection algorithm. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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11

United States. National Aeronautics and Space Administration., ed. An adaptive numeric predictor-corrector guidance algorithm for atmospheric entry vehicles. Cambridge, Mass: The Charles Stark Draper Laboratories, Inc., 1987.

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12

S, Mehta R., and United States. National Aeronautics and Space Administration., eds. Adaptive control and noise suppression by a variable-gain gradient algorithm. [Washington, DC]: National Aeronautics and Space Administration, 1987.

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13

Hon, Herbert. An adaptive bandwidth enforcement and congestion control algorithm for broadband ISDN. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.

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14

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. On the estimation algorithm used in adaptive performance optimization of turbofan engines. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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15

Malygin, Andrei. Adaptive modulation and its control algorithm as a satellite communications fade measure. Portsmouth: University of Portsmouth, Dept. of Electrical and Electronic Engineering, 1998.

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16

Lang, Jens. Adaptive multilevel solution of nonlinear parabolic PDE systems: Theory, algorithm, and applications. Berlin: Springer, 2001.

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17

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program, ed. On the estimation algorithm used in adaptive performance optimization of turbofan engines. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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18

K, Kokula Krishna Hari, ed. Cancellation of Power Line Interference in ECG using Adaptive LMS Algorithm: ICIEMS 2014. India: Association of Scientists, Developers and Faculties, 2014.

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19

Mouratidis, Nikolaos. Design of a speech compressing integrated circuit using the adaptive pulse code modulation algorithm. Manchester: UMIST, 1994.

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20

Facility, Dryden Flight Research, ed. Formulation and implementation of nonstationary adaptive estimation algorithm with applications to air-data reconstruction. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

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21

Facility, Dryden Flight Research, ed. Formulation and implementation of nonstationary adaptive estimation algorithm with applications to air-data reconstruction. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

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22

Thareja, R. R. Applications of an adaptive unstructured solution algorithm to the analysis of high speed flows. Washington, D. C: American Institute of Aeronautics and Astronautics, 1990.

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23

Facility, Dryden Flight Research, ed. Formulation and implementation of nonstationary adaptive estimation algorithm with applications to air-data reconstruction. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

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24

Schreiber, Thomas. A voronoi diagram based adaptive k-means-type clustering algorithm for multidimensional weighted data. Kaiserslautern: Universität Kaiserslautern, 1991.

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25

K, Leaf G., Van Rosendale John R, and Institute for Computer Applications in Science and Engineering., eds. A dynamically adaptive multigrid algorithm for the incompressible Navier-Stokes equations: Validation and model problems. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1991.

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26

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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27

T, Batina John, Williams Marc H, and United States. National Aeronautics and Space Administration., eds. Temporal-adaptive Euler/Navier-Stokes algorithm for unsteady aerodynamic analysis of airfoils using unstructured dynamic meshes. [Washington, DC]: National Aeronautics and Space Administration, 1990.

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28

T, Batina John, Williams Marc H, and United States. National Aeronautics and Space Administration., eds. Temporal-adaptive Euler/Navier-Stokes algorithm for unsteady aerodynamic analysis of airfoils using unstructured dynamic meshes. [Washington, DC]: National Aeronautics and Space Administration, 1990.

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29

T, Batina John, Williams Marc H, and United States. National Aeronautics and Space Administration., eds. Temporal-adaptive Euler/Navier-Stokes algorithm for unsteady aerodynamic analysis of airfoils using unstructured dynamic meshes. [Washington, DC]: National Aeronautics and Space Administration, 1990.

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30

S, Schkolnik Gerard, and United States. National Aeronautics and Space Administration., eds. Flight characteristics of the onboard propulsion system model for the performance seeking control algorithm on an F-15 aircraft. [Washington, DC]: National Aeronautics and Space Administration, 1995.

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31

Tomassini, Marco. Adaptive and Natural Computing Algorithms: 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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32

Kaufman, Howard, Itzhak Barkana, and Kenneth Sobel. Direct Adaptive Control Algorithms. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-0657-6.

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33

Benveniste, Albert. Adaptive algorithms and stochastic approximations. Berlin: Springer-Verlag, 1990.

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34

Benveniste, Albert, Michel Métivier, and Pierre Priouret. Adaptive Algorithms and Stochastic Approximations. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75894-2.

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35

Beliczynski, Bartlomiej, Andrzej Dzielinski, Marcin Iwanowski, and Bernardete Ribeiro, eds. Adaptive and Natural Computing Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71618-1.

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36

Beliczynski, Bartlomiej, Andrzej Dzielinski, Marcin Iwanowski, and Bernardete Ribeiro, eds. Adaptive and Natural Computing Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71629-7.

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37

Dawid, Herbert. Adaptive Learning by Genetic Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-00211-7.

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38

Bern, Marshall W., Joseph E. Flaherty, and Mitchell Luskin, eds. Grid Generation and Adaptive Algorithms. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1556-1.

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39

Dobnikar, Andrej, Uroš Lotrič, and Branko Šter, eds. Adaptive and Natural Computing Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20267-4.

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40

Dobnikar, Andrej, Uroš Lotrič, and Branko Šter, eds. Adaptive and Natural Computing Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20282-7.

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41

Dawid, Herbert. Adaptive Learning by Genetic Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-18142-9.

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42

Ribeiro, Bernardete, Rudolf F. Albrecht, Andrej Dobnikar, David W. Pearson, and Nigel C. Steele, eds. Adaptive and Natural Computing Algorithms. Vienna: Springer Vienna, 2005. http://dx.doi.org/10.1007/b138998.

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43

Tomassini, Marco, Alberto Antonioni, Fabio Daolio, and Pierre Buesser, eds. Adaptive and Natural Computing Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37213-1.

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44

Kolehmainen, Mikko, Pekka Toivanen, and Bartlomiej Beliczynski, eds. Adaptive and Natural Computing Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04921-7.

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45

Armando M. P. de Jesus Sequeira. Adaptive two dimensional RLS algorithms. Monterey, Calif: Naval Postgraduate School, 1989.

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46

Benveniste, Albert. Adaptive algorithms and stochastic approximations. Berlin: Springer-Verlag, 1990.

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47

Wayne, Bern Marshall, Flaherty J. E. 1943-, and Luskin Mitchell Barry 1951-, eds. Grid generation and adaptive algorithms. New York: Springer, 1999.

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48

Benveniste, Albert. Adaptive Algorithms and Stochastic Approximations. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990.

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49

Bern, Marshall W. Grid Generation and Adaptive Algorithms. New York, NY: Springer New York, 1999.

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50

Bouchachia, Abdelhamid. Adaptive and Intelligent Systems: Second International Conference, ICAIS 2011, Klagenfurt, Austria, September 6-8, 2011. Proceedings. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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