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1

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. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1991.

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2

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

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3

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

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4

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

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5

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

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6

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

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7

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

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8

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. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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9

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

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10

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

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11

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

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12

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. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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13

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

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14

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

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15

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

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16

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. National Aeronautics and Space Administration, 1995.

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17

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Subsonic flight test evaluation of a performance seeking control algorithm on an F-15 airplane. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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18

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. Springer Berlin Heidelberg, 2012.

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19

Pasqua, D'Ambra, Belloum Adam, Bosilca George, 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. Springer Berlin Heidelberg, 2012.

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20

Pasqua, D'Ambra, Belloum Adam, Bosilca George, 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. Springer Berlin Heidelberg, 2012.

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21

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

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22

C, Brock John, and United States. National Aeronautics and Space Administration., eds. OCTS and SeaWiFS bio-optical algorithm and product validation and intercomparison in US coastal waters: Year end draft technical memorandum for period of performance July 21, 1997-July 20, 1998. National Aeronautics and Space Administration, 1998.

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23

C, Brock John, and United States. National Aeronautics and Space Administration., eds. OCTS and SeaWiFS bio-optical algorithm and product validation and intercomparison in US coastal waters: Year end draft technical memorandum for period of performance July 21, 1997-July 20, 1998. National Aeronautics and Space Administration, 1998.

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24

C, Brock John, and United States. National Aeronautics and Space Administration., eds. OCTS and SeaWiFS bio-optical algorithm and product validation and intercomparison in US coastal waters: Year end draft technical memorandum for period of performance July 21, 1997-July 20, 1998. National Aeronautics and Space Administration, 1998.

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25

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

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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. Springer Berlin Heidelberg, 2013.

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27

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. Springer Berlin Heidelberg, 2012.

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28

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

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29

Manninen, Pekka. Applied Parallel and Scientific Computing: 11th International Conference, PARA 2012, Helsinki, Finland, June 10-13, 2012, Revised Selected Papers. Springer Berlin Heidelberg, 2013.

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30

Daji, Qiao, and SpringerLink (Online service), eds. Quality, Reliability, Security and Robustness in Heterogeneous Networks: 7th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2010, and Dedicated Short Range Communications Workshop, DSRC 2010, Houston, TX, USA, November 17-19, 2010, Revised Selected Papers. Springer Berlin Heidelberg, 2012.

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31

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

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32

Solo, Victor. Adaptive signal processing algorithms: Stability and performance. Prentice Hall, 1995.

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33

A, Gallivan Kyle, Gallopoulos Efstratios, Grama Ananth, et al., eds. High-Performance Scientific Computing: Algorithms and Applications. Springer London, 2012.

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34

1953-, Arbenz Peter, ed. High performance algorithms for structured matrix problems. Nova Science, 1998.

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35

Balivada, Leela Kumari, and Koppireddi Padma Raju. Optimization Techniques of Viterbi Algorithm: Performance Analysis of Different Algorithms. LAP Lambert Academic Publishing, 2012.

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36

Lohani, Bhanu Prakash, Pradeep K. Kushwaha, and Abhijeet Ashri. Performance Study of Logically-Modified Heap Sort Algorithm. GRIN Verlag GmbH, 2014.

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37

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

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38

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

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39

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

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40

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

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41

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

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42

Andre, Vien, ed. Evaluation of the performance of MOCCA (Multivariable Optimal Constrained Control Algorithm). 1990.

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43

On the estimation algorithm used in adaptive performance optimization of turbofan engines. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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44

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

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45

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

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46

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

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47

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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Annotation:
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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48

Performance Analysis of a Dynamic Bandwidth Allocation Algorithm in a Circuit-Switched Communications Network. Storming Media, 2002.

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49

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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50

Flight characteristics of the onboard propulsion system model for the performance seeking control algorithm on an F-15 aircraft. National Aeronautics and Space Administration, 1995.

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