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1

L, Meyer Gerard G., ed. A parallel algorithm synthesis procedure for high-performance computer architectures. New York: Kluwer Academic/Plenum Publishers, 2003.

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2

Dunn, Ian N. A Parallel Algorithm Synthesis Procedure for High-Performance Computer Architectures. Boston, MA: Springer US, 2003.

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3

Dunn, Ian N., and Gerard G. L. Meyer. A Parallel Algorithm Synthesis Procedure for High-Performance Computer Architectures. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-8650-4.

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4

Smart, John R. Performance evaluation of the NEXRAD Hail Algorithm applied to Colorado thunderstorms. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1985.

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5

Orme, John S. Flight assessment of the onboard propulsion system for the performance seeking control algorithm on an F-15 aircraft. Edwards, Calif: Dryden Flight Research Center, 1995.

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6

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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7

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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8

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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9

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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10

Goessens, Walter. Average case analysis of the performance of a modified next-fit binpacking-algorithm. Antwerpen: Universiteit Antwerpen, 1995.

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11

Sotiris, Nikoletseas, Orponen Pekka, and SpringerLink (Online service), eds. Algorithms for Sensor Systems: 7th International Symposium on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, ALGOSENSORS 2011, Saarbrücken, Germany, September 8-9, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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12

S, Müller Matthias, Nagel Wolfgang E, Resch Michael, and SpringerLink (Online service), eds. Tools for High Performance Computing 2011: Proceedings of the 5th International Workshop on Parallel Tools for High Performance Computing, September 2011, ZIH, Dresden. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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13

Wood, Derick. Data structures, algorithms and performance. Reading, Mass: Addison-Wesley, 1992.

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14

Data structures, algorithms, and performance. Reading, Mass: Addison-Wesley, 1993.

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15

Demeester, Piet. Wireless Sensor Networks: 10th European Conference, EWSN 2013, Ghent, Belgium, February 13-15, 2013. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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16

Federico, Massaioli, Müller Matthias S, Rorro Marco, and SpringerLink (Online service), eds. OpenMP in a Heterogeneous World: 8th International Workshop on OpenMP, IWOMP 2012, Rome, Italy, June 11-13, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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17

Pasqua, D'Ambra, Belloum Adam, Bosilca George, Cannataro Mario, Danelutto Marco, Martino Beniamino, Gerndt Michael, et al., eds. Euro-Par 2011: Parallel Processing Workshops: CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29 – September 2, 2011, Revised Selected Papers, Part I. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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18

Pasqua, D'Ambra, Belloum Adam, Bosilca George, Cannataro Mario, Danelutto Marco, Martino Beniamino, Gerndt Michael, et al., eds. Euro-Par 2011: Parallel Processing Workshops: CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29 – September 2, 2011, Revised Selected Papers, Part II. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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19

Klette, Reinhard. Performance Characterization in Computer Vision. Dordrecht: Springer Netherlands, 2000.

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20

Rong, Zheng, Jing Tao, Xing Kai, and SpringerLink (Online service), eds. Wireless Algorithms, Systems, and Applications: 7th International Conference, WASA 2012, Yellow Mountains, China, August 8-10, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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21

Aksu, Ibrahim. Performance analysis of image motion analysis algorithms. Monterey, Calif: Naval Postgraduate School, 1991.

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22

A, Gallivan Kyle, Gallopoulos Efstratios, Grama Ananth, Philippe Bernard, Saad Yousef, Saied Faisal, and SpringerLink (Online service), eds. High-Performance Scientific Computing: Algorithms and Applications. London: Springer London, 2012.

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23

Solo, Victor. Adaptive signal processing algorithms: Stability and performance. Englewood Cliffs, N.J: Prentice Hall, 1995.

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24

Probabilistic Analysis of Algorithms: On Computing Methodologies for Computer Algorithms Performance Evaluation. New York, NY: Springer New York, 1987.

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25

Probabilistic analysis of algorithms: On computing methodologies for computer algorithms performance evaluation. New York: Springer-Verlag, 1987.

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26

Daydé, Michel. High Performance Computing for Computational Science - VECPAR 2012: 10th International Conference, Kope, Japan, July 17-20, 2012, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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27

Osterhage, Wolfgang W. Mathematische Algorithmen und Computer-Performance kompakt. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-47448-8.

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28

Eekelen, M. C. J. D. van, Shkaravska Olha, and SpringerLink (Online service), eds. Foundational and Practical Aspects of Resource Analysis: Second International Workshop, FOPARA 2011, Madrid, Spain, May 19, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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29

Meisels, Amnon. Distributed search by constrained agents: Algorithms, performance, communication. London: Springer, 2008.

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30

Distributed search by constrained agents: Algorithms, performance, communication. London: Springer, 2008.

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31

Abts, Dennis. High performance datacenter networks: Architectures, algorithms, and opportunities. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.

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32

Di Pillo, Gianni, and Almerico Murli, eds. High Performance Algorithms and Software for Nonlinear Optimization. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4613-0241-4.

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33

De Leone, Renato, Almerico Murli, Panos M. Pardalos, and Gerardo Toraldo, eds. High Performance Algorithms and Software in Nonlinear Optimization. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4613-3279-4.

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34

Inference Algorithm Performance and Selection under Constrained Resources. Storming Media, 1996.

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35

H, Lambert Heather, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Preliminary flight evaluation of an engine performance optimization algorithm. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1991.

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36

Dunn, Ian N., and Gerard G. L. Meyer. A Parallel Algorithm Synthesis Procedure for High-Performance Computer Architectures. Springer, 2012.

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37

Dunn, Ian N., and Gerard G. L. Meyer. A Parallel Algorithm Synthesis Procedure for High-Performance Computer Architectures. Springer, 2012.

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38

Mixed Layer Height Estimates - A Statistical Analysis of Algorithm Performance. Storming Media, 2000.

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39

Reconstruction Algorithm Characterization and Performance Monitoring in Limited-Angle Chromotomography. Storming Media, 2003.

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40

Andre, Vien, ed. Evaluation of the performance of MOCCA (Multivariable Optimal Constrained Control Algorithm). Process Technology Division, Brenda Mines Ltd, 1990.

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41

A parallel-vector algorithm for rapid structural analysis on high-performance computers. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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42

A parallel-vector algorithm for rapid structural analysis on high-performance computers. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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43

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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44

Zaspel, Joachim C. Automating pilot function performance assesssment using fuzzy systems and a genetic algorithm. 1997.

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45

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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46

T, Nguyen Duc, Agarwal Tarun K, and Langley Research Center, eds. A parallel-vector algorithm for rapid structural analysis on high-performance computers. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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47

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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48

Bi, Xiaojun, Brian Smith, Tom Ouyang, and Shumin Zhai. Soft Keyboard Performance Optimization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0006.

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Optimization techniques have played a vital role in improving the performance (i.e., input speed and accuracy) of soft keyboards. This chapter introduces the challenges, methodologies, and results of keyboard performance optimization. Leveraging the robust human motor control phenomena manifested in text entry, we used the Metropolis random walk algorithm, and Pareto multi-objective optimization method to optimize the keyboard layout and a soft keyboard decoder. The optimization led to layouts that shorten finger travel distance and improve the input speed as well as accuracy over the Qwerty layout, and a soft keyboard decoder with improved correction and completion ability.
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49

United States. National Aeronautics and Space Administration., ed. Entry vehicle performance analysis and atmospheric guidance algorithm for precision landing on Mars. Cambridge, Mass: The Charles Stark Draper Laboratory, Inc., 1990.

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50

Dunn, Ian N., and Gerard G. L. Meyer. A Parallel Algorithm Synthesis Procedure for High-Performance Computer Architecture (Series in Computer Science). Springer, 2003.

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