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1

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

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2

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

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3

Fiat, Amos, and Gerhard J. Woeginger, eds. Online Algorithms. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0029561.

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4

WAOA 2008 (2008 Karlesruhe, Germany). Approximation and online algorithms: 6th international workshop, WAOA 2008, Karlsruhe, Germany, September 18-19, 2008 : revised papers. Springer, 2009.

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5

Kaklamanis, Christos, and Asaf Levin, eds. Approximation and Online Algorithms. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80879-2.

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6

Koenemann, Jochen, and Britta Peis, eds. Approximation and Online Algorithms. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92702-8.

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7

Chalermsook, Parinya, and Bundit Laekhanukit, eds. Approximation and Online Algorithms. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18367-6.

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8

Bampis, Evripidis, and Ola Svensson, eds. Approximation and Online Algorithms. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18263-6.

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9

Sanità, Laura, and Martin Skutella, eds. Approximation and Online Algorithms. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28684-6.

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10

Erlebach, Thomas, and Giuseppe Persiano, eds. Approximation and Online Algorithms. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38016-7.

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11

Solis-Oba, Roberto, and Giuseppe Persiano, eds. Approximation and Online Algorithms. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29116-6.

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12

Jansen, Klaus, and Monaldo Mastrolilli, eds. Approximation and Online Algorithms. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51741-4.

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13

Solis-Oba, Roberto, and Rudolf Fleischer, eds. Approximation and Online Algorithms. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89441-6.

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14

Kaklamanis, Christos, and Kirk Pruhs, eds. Approximation and Online Algorithms. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08001-7.

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15

Epstein, Leah, and Thomas Erlebach, eds. Approximation and Online Algorithms. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04693-4.

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16

Bampis, Evripidis, and Nicole Megow, eds. Approximation and Online Algorithms. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39479-0.

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17

Erlebach, Thomas, and Christos Kaklamanis, eds. Approximation and Online Algorithms. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/11970125.

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18

Jansen, Klaus, and Roberto Solis-Oba, eds. Approximation and Online Algorithms. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18318-8.

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19

Bampis, Evripidis, and Martin Skutella, eds. Approximation and Online Algorithms. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-93980-1.

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20

Kaklamanis, Christos, and Martin Skutella, eds. Approximation and Online Algorithms. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77918-6.

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21

Persiano, Giuseppe, and Roberto Solis-Oba, eds. Approximation and Online Algorithms. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b106130.

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22

Solis-Oba, Roberto, and Klaus Jansen, eds. Approximation and Online Algorithms. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b95598.

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23

Erlebach, Thomas, and Giuseppe Persinao, eds. Approximation and Online Algorithms. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11671411.

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24

Bampis, Evripidis, and Klaus Jansen, eds. Approximation and Online Algorithms. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12450-1.

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25

Byrka, Jarosław, and Andreas Wiese, eds. Approximation and Online Algorithms. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-49815-2.

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26

Bieńkowski, Marcin, and Matthias Englert, eds. Approximation and Online Algorithms. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81396-2.

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27

Bampis, Evripidis, Klaus Jansen, and Claire Kenyon, eds. Efficient Approximation and Online Algorithms. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11671541.

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28

Cole, Richard. Online algorithms for finger searching. Courant Institute of Mathematical Sciences, New York University, 1991.

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29

Dochow, Robert. Online Algorithms for the Portfolio Selection Problem. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-13528-7.

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30

Amos, Fiat, and Woeginger Gerhard, eds. Online algorithms: The state of the art. Springer, 1998.

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31

Wang, Xinshang. Online Algorithms for Dynamic Resource Allocation Problems. [publisher not identified], 2017.

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32

WAOA 2009 (2009 Copenhagen, Denmark). Approximation and online algorithms: 7th international workshop, WAOA 2009, Copenhagen, Denmark, September 10-11, 2009 ; revised papers. Springer, 2010.

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33

Borodin, Allan. Online computation and competitive analysis. Cambridge University Press, 1998.

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34

Hentenryck, Pascal Van. Online stochastic combinatorial optimization. MIT Press, 2009.

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35

Wang, Yu, Shiwen Mao, and R. Mark Nelms. Online Algorithms for Optimal Energy Distribution in Microgrids. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17133-3.

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36

Kong, Xiangyu, and Dazheng Feng. Efficient Online Learning Algorithms for Total Least Square Problems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1765-1.

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37

Ertekin, Şeyda. Algorithms for efficient learning systems: Online and active learning approaches. VDM Verlag Dr. Müller, 2009.

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38

Angelopoulos, spyros. Efficient online algorithms for multicasting with bandwidth and dealy guarantees. National Library of Canada, 1999.

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39

Bucher, Taina. Affective Landscapes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190493028.003.0005.

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Given the centrality of algorithms in the media landscape, how do they affect people’s everyday lives? Drawing on 35 interviews with social media users about their encounters with algorithms online, the chapter considers the barely perceived transitions in power that occur when algorithms and people meet. When do people encounter algorithms, and what responses and imaginations do these encounters generate? Analyzing specific situations in which users notice algorithmic mechanisms at work and start reflecting and talking about them, the chapter shows how the algorithmic output of social media becomes culturally meaningful, as seen in the ways that people form opinions about specific systems and act strategically around them. The notion of the algorithmic imaginary is put forward to suggest that it might not always matter what the algorithm is but rather how and when people imagine and perceive algorithms as this is what shapes their orientations toward platforms.
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40

Algoridŭm kwa chŏnŏllijŭm. K'ŏmyunik'eisyŏn Puksŭ, 2021.

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41

Online Algorithms. Cambridge University Press, 2023.

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42

Online Algorithms. Cambridge University Press, 2022.

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43

Giuseppe, Persiano Thomas Erlebach. Approximation and Online Algorithms. Springer, 2008.

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44

Solis-Oba, Klaus Jansen Roberto. Approximation and Online Algorithms. Springer, 2011.

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45

Persiano, Roberto Solis-Oba Giuseppe. Approximation and Online Algorithms. Springer, 2008.

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46

Kaklamanis, Thomas Erlebach Christos. Approximation and Online Algorithms. Springer, 2008.

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47

Skutella, Christos Kaklamanis Martin. Approximation and Online Algorithms. Springer, 2008.

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48

Bucher, Taina. Life at the Top. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190493028.003.0004.

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Algorithms play a fundamental role in governing the conditions of the intelligible and the sensible online. If users provide the data, the techniques, and procedures to make sense of it, to navigate, assemble, and make meaningful connections among individual pieces of data is increasingly being delegated to various forms of algorithms. In the case of the world’s biggest and most used social media platform, Facebook, algorithmic mechanisms shape the concerted distribution of people, information, actions, and ways of seeing and being seen. The chapter investigates how this kind of algorithmic intervention into people’s information-sharing practices takes place and what are the principles and logics of Facebook’s algorithmic governance. Through an analysis of the algorithmic logics structuring the flow of information and communication on Facebook’s news feed, the argument is made that the regime of visibility constructed imposes a perceived threat of invisibility on the part of the participatory subject.
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49

Klaus, Jansen Evripidis Bampis Claire Kenyon. Efficient Approximation and Online Algorithms. Springer, 2008.

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50

Raghunathan, Arvind, and Richard Cole. Online Algorithms for Finger Searching. Creative Media Partners, LLC, 2018.

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