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Published: 4 June 2021
Last updated: 4 February 2022

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1

Falkenhainer, Brian. The structure-mapping engine: Algorithm and examples. Urbana, Ill. (1304 W. Springfield Ave., Urbana 61801): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1987.

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2

Menemenlis, Dimitris. Adaptation of a fast optimal interpolation algorithm to the mapping of oceanographic data. [Washington, D.C: National Aeronautics and Space Administration, 1997.

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3

Anderson, Jay Martin. Algorithms for computer cartography. Lancaster, Pa: Franklin and Marshall College, 1998.

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4

Beyond mapping: Concepts, algorithms, and issues in GIS. Ft. Collins, Colo., USA: GIS World, Inc., 1993.

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5

Lee, P. Mapping nested loop algorithms into multi-dimensional systolic arrays. New York: Courant Institute of Mathematical Sciences, New York University, 1988.

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6

Sokol'skaya, Elena, and Boris Kochurov. Geoecology of the city: models of environmental quality. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1205961.

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The monograph examines the features of studying the geoecological state of urbanized territories, reveals the use of integrated assessment and mapping in urban diagnostics, and finds a solution to geoecological problems on the example of world cities that are leading in the rating for quality of life. The components of an information and analytical model of the urban environment for assessing the geoecological situation are described; an algorithm for a comprehensive study of the geoecological state aimed at an adequate assessment of the quality of the urban environment. Special attention is paid to the methodology of geoecological assessment of the quality of the urban environment based on multifactor modeling, which allows making recommendations for improving the comfort of living of the population. It is intended for a wide range of specialists in the field of geoecology of the city, and can also be used as a textbook for students of environmental, natural-geographical, engineering specialties.
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7

Comparative gene finding: Models, algorithms, and implementation. London: Springer, 2010.

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8

V, Kalashnikov V., ed. Optimization with multivalued mappings: Theory, applications, and algorithms. New York: Springer, 2006.

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9

Benkeser, Christian. Power efficiency and the mapping of communication algorithms into VLSI. Konstanz: Hartung-Gorre, 2010.

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10

Morovič, Ján. To develop a universal gamut mapping algorithmte measuring machines. [Derby: University of Derby], 1998.

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11

Mester, D. Discrete optimization for TSP-like genome mapping problems. New York: Nova Science Publishers, 2010.

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12

United States. Forest Service. Southern Research Station., ed. New methods, algorithms, and software for rapid mapping of tree positions in coordinate forest plots. Ashville, NC: U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 2000.

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13

Korolʹ, A. B. Recombination variability and evolution: Algorithms of estimation and population-genetic models. London: Chapman & Hall, 1994.

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14

McCauley, Joseph L. Chaos, dynamics and fractals: An algorithmic approach todeterministic chaos. Cambridge: Cambridge University Press, 1993.

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15

Saunak, Sen, and SpringerLink (Online service), eds. A Guide to QTL Mapping with R/qtl. New York, NY: Springer-Verlag New York, 2009.

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16

McCauley, Joseph L. Chaos, dynamics, and fractals: An algorithmic approach to deterministic chaos. Cambridge: Cambridge University Press, 1993.

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17

Kühnau, Reiner. Ein Algorithmus für quasikonforme Spiegelung an einem Polygonzug bei möglichst kleiner Dilatation. Giessen: Selbstverlag des Mathematischen Instituts, 1987.

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18

Tianming, Liu, Shen Dinggang, Westin Carl-Fredrik, Shen Li, and SpringerLink (Online service), eds. Multimodal Brain Image Analysis: Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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19

R, Mielke Roland, United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., and Old Dominion University. Research Foundation., eds. Algorithm to Architecture Mapping Model (ATAMM) multicomputer operating system functional specification. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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20

Adaptation of a fast optimal interpolation algorithm to the mapping of oceanographic data. [Washington, D.C: National Aeronautics and Space Administration, 1997.

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21

R, Patel Rakesh, and Langley Research Center, eds. Resource utilization model for the algorithm to architecture mapping model: Progress report for the period ended June 30, 1993. Norfolk, VA: Dept. of Electrical & Computer Engineering, College of Engineering & Technology, Old Dominion University, 1993.

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22

Pfoser, Dieter, Mahmuda Ahmed, Sophia Karagiorgou, and Carola Wenk. Map Construction Algorithms. Springer, 2019.

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23

Erickson, Kristin. Performing Algorithms. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.32.

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The chapter considers algorithmic music as the ‘sonification’ of algorithms, a term coined by Carla Scaletti to describe the mapping of numerically represented relations in some domain to relations in an acoustic domain. The chapter looks at the range of ways this concept has been used by the author in composing her works. The chapter identifies isomorphic relationships between algorithms and collaboration, music, and performance, and extends the boundary of the computer to include systems of people and sound. The definition of music and performance is extended to include process, rules, machines, and execution. Examples discussed include performing a bubble sort, pandemic performances (using principles of complex adaptive systems), Mandelbrot music, and M.T.Brain/Telebrain, which send complex algorithmic instructions to multiple performers in real time.
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24

Michel, Christoph M., and Bin He. EEG Mapping and Source Imaging. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0045.

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This chapter describes methods to analyze the scalp electric field recorded with multichannel electroencephalography (EEG). With advances in high-density EEG, systems now allow fast and easy recording from 64 to 256 channels simultaneously. Pattern-recognition algorithms can characterize the topography of scalp electric fields and detect changes in topography over time and between experimental or clinical conditions. Methods for estimating the sources underlying the recorded scalp potential maps have increased the spatial resolution of EEG. The use of anatomical information in EEG source reconstruction has increased the precision of EEG source localization. Algorithms of functional connectivity applied to the source space allow determination of communication between large-scale brain networks in certain frequencies and identification of the directionality of this information flow and detection of crucial drivers in these networks. These methods have boosted the use of EEG as a functional neuroimaging method in experimental and clinical applications.
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25

Senkoro, Leila. Texture mapping algorithms for displays in virtual reality. 2004.

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26

Kim, Daegyu. Mapping based constraint handling methods for evolutionary algorithms. 2000.

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27

Berry, Joseph K. Beyond Mapping: Concepts, Algorithms, and Issues in Gis. GIS World Books, 1996.

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28

Zheng, Yue-Peng. Mapping of recursive algorithms onto multi-rate arrays. 1994.

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29

Berry, Joseph K. Beyond Mapping: Concepts, Algorithms, and Issues in GIS. Wiley & Sons, Incorporated, John, 2007.

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30

Berry, Joseph K. Beyond Mapping: Concepts, Algorithms, and Issues in GIS. Wiley, 1996.

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31

Berry, Joseph K. Beyond Mapping: Concepts, Algorithms and Issues in GIS. GeoInformation International, 1995.

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32

Sun, Jian-Qiao, Oliver Schütze, Fu-Rui Xiong, and Carlos Hernández. Cell Mapping Methods: Algorithmic Approaches and Applications. Springer, 2018.

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33

Sun, Jian-Qiao, Oliver Schütze, Fu-Rui Xiong, and Carlos Hernández. Cell Mapping Methods: Algorithmic Approaches and Applications. Springer, 2018.

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34

Center, Langley Research, ed. A parallel algorithms for mapping pipelined and parallel computations. Hampton, VA: NASA Langley Research Center, 1988.

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35

Axelson-Fisk, Marina. Comparative Gene Finding: Models, Algorithms and Implementation. Springer, 2016.

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36

Comparative Gene Finding: Models, Algorithms and Implementation. Springer, 2015.

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37

Axelson-Fisk, Marina. Comparative Gene Finding: Models, Algorithms and Implementation. Springer, 2015.

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38

Optimization with multivalued mappings: Theory, applications and algorithms. New York, NY: Springer, 2006.

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39

Center, Langley Research, ed. Efficient algorithms for dilated mappings of binary trees. [Hampton, Va.]: National Aeronautics and Space Administration, Langley Research Center, 1990.

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40

Dempe, Stephan, and Vyacheslav Kalashnikov. Optimization with Multivalued Mappings: Theory, Applications and Algorithms. Springer, 2010.

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41

Jensen, Henrik Wann. Realistic Image Synthesis Using Photon Mapping. AK Peters, Ltd., 2001.

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42

Gunnels, John A. A comparison of simulated annealing and genetic algorithms for the genome mapping problems. 1993.

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43

Berry and Joseph K. Berry. Beyond Mapping: Concepts, Algorithms, and Issues in GIS and tMap, Version 3.2 Set. John Wiley & Sons, 1996.

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44

Berry, Joseph K. Beyond Mapping: Concepts, Algorithms, and Issues in GIS and gCon, Version 1.1 Set. Halsted Press, 1996.

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45

D, Mester, ed. Discrete optimization for TSP-like genome mapping problems. Hauppauge, N.Y: Nova Science Publishers, 2010.

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46

Berry and Joseph K. Berry. Spatial Reasoning for Effective GIS and Beyond Mapping: Concepts, Algorithms, and Issues in GIS. John Wiley & Sons, 1996.

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47

Sheehan, Daniel Dean. Interpolating a regular grid of elevations from random points using three algorithms: Kriging, splines, and polynomial surfaces. 1987.

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48

(Editor), Stephan Dempe, and Vyacheslav Kalashnikov (Editor), eds. Optimization with Multivalued Mappings: Theory, Applications and Algorithms (Springer Optimization and Its Applications). Springer, 2006.

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49

Berry, Joseph K. Beyond Mapping: Concepts, Algorithms, and Issues in GIS, gConTM, Version 1.1, and tMapTM, Version 3.2 Set. John Wiley & Sons Inc, 1996.

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50

Adaptive Sampling With Mobile Wsn Simultaneous Robot Localisation And Mapping Of Paramagnetic Spatiotemporal Fields. Institution of Engineering & Technology (IET), 2011.

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