Books on the topic 'Discrete location'

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1

B, Mirchandani Pitu, and Francis R. L, eds. Discrete location theory. New York: Wiley, 1990.

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2

Daskin, Mark S. Network and Discrete Location. Hoboken, NJ, USA: John Wiley & Sons, Inc., 1995. http://dx.doi.org/10.1002/9781118032343.

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3

Karakitsiou, Athanasia. Modeling Discrete Competitive Facility Location. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21341-5.

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4

Barros, Ana Isabel. Discrete and Fractional Programming Techniques for Location Models. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-4072-4.

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5

Daskin, Mark S. Network and discrete location: Models, algorithms, and applications. New York: Wiley, 1995.

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6

Barros, Ana Isabel. Discrete and fractional programming techniques for location models. Dordrecht: Kluwer Academic Publishers, 1998.

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7

Daskin, Mark S., ed. Network and Discrete Location: Models, Algorithms, and Applications, Second Edition. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118537015.

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8

Domínguez-Marín, Patricia. The discrete ordered median problem: Models and solution methods : dissertation. Norwell, Mass: Kluwer Academic Publishers, 2003.

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9

Turkey, Adnan A. Practical statistical algorithm for sensor validation in discrete dynamic systems. Budapest: Computer and Automation Institute, Hungarian Academy of Sciences, 1989.

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10

Markusen, J. R. Discrete plant-location decisions in an applied general-equilibrium model of trade liberalization. [London]: Trade Policy Research Centre, 1993.

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11

Markusen, James R. Discrete plant-location decisions in an applied general-equilibrium model of trade liberalization. Cambridge, MA: National Bureau of Economic Research, 1993.

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12

Andrew, Henley, and University of Kent at Canterbury., eds. Location choice and labour market perceptions: A discreet choice study. Canterbury: University of Kent at Canterbury, 1989.

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13

Karakitsiou, Athanasia. Modeling Discrete Competitive Facility Location. Springer, 2015.

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14

Karakitsiou, Athanasia. Modeling Discrete Competitive Facility Location. Springer London, Limited, 2015.

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15

Daskin, Mark S. Network and Discrete Location: Models, Algorithms, and Applications. Wiley & Sons, Limited, John, 2013.

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16

Daskin, Mark S. Network and Discrete Location: Models, Algorithms, and Applications. Wiley & Sons, Incorporated, John, 2013.

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17

Daskin, Mark S. Network and Discrete Location: Models, Algorithms, and Applications. Wiley & Sons, Incorporated, John, 2013.

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18

Daskin, Mark S. Network and Discrete Location: Models, Algorithms, and Applications. Wiley & Sons, Incorporated, John, 2011.

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19

Daskin, Mark S. Network and Discrete Location: Models, Algorithms, and Applications. Wiley & Sons, Incorporated, John, 2013.

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20

Martins, Ana Isabel. Discrete and Fractional Programming Techniques for Location Models. Thesis Pub, 1996.

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21

Daskin, Mark S. Network and Discrete Location: Models, Algorithms, and Applications. Wiley & Sons, Incorporated, John, 2013.

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22

Daskin, Mark S. Network and Discrete Location: Models, Algorithms, and Applications. Wiley & Sons, Incorporated, John, 2013.

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23

Barros, Ana Isabel. Discrete and Fractional Programming Techniques for Location Models. Springer, 2013.

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24

Barros, A. I. Discrete and Fractional Programming Techniques for Location Models. Springer London, Limited, 2013.

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25

Ruiter, Stijn. Crime Location Choice. Edited by Wim Bernasco, Jean-Louis van Gelder, and Henk Elffers. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199338801.013.20.

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Crime is unevenly distributed in space. This chapter discusses the uneven spatial patterns in crime from an offender decision-making perspective. It describes the main theoretical perspectives in environmental criminology (the rational choice perspective, routine activity approach, and crime pattern theory) and reviews the empirical research with an emphasis on studies that have used a discrete spatial choice framework for analyzing individual crime location choices. The strength of the discrete spatial choice framework, several of its assumptions, and its link with random utility maximization theory are discussed. The chapter concludes with several challenges for future crime location choice research, including challenges regarding temporal aspects of criminal decision making, planned versus opportunistic crimes, and solved versus unsolved crimes.
26

Klamroth, Kathrin. Single-Facility Location Problems with Barriers. Springer New York, 2006.

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27

Klamroth, Kathrin. Single-Facility Location Problems with Barriers. Springer New York, 2010.

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28

Klamroth, Kathrin. Single Facility Location Problems with Barriers. Springer, 2002.

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29

Using Discrete Event Simulation to Assess Obstacle Location Accuracy in the REMUS Unmanned Underwater Vehicle. Storming Media, 2004.

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30

Zeppetella, Giovambattista. Clarifying the concept of breakthrough pain. Edited by Paul Farquhar-Smith, Pierre Beaulieu, and Sian Jagger. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198834359.003.0054.

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The 1990 publication ‘Breakthrough pain: Definition, prevalence and characteristics’ was the first to study to describe breakthrough pain as a discrete pain state. Using the definition that ‘breakthrough pain is a transient increase in the intensity of moderate or severe pain, occurring in the presence of well-established baseline pain’ the authors interviewed 90 cancer pain patients and identified 51 types of breakthrough pain; these varied widely with respect to severity, location, temporal characteristics, relationship to scheduled analgesia, precipitating events, predictability, pathophysiology, aetiology, and palliative factors. As a result of Portenoy and Hagen’s survey, breakthrough pain has been studied as a discrete pain state for almost 30 years, and recognized as an important clinical problem in its own right. An increasing number of published studies exist, with ongoing debate about the breakthrough pain definition, pain assessment, and pain management.
31

Stark, David, ed. The Performance Complex. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198861669.001.0001.

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What’s valuable? Market competition provides one kind of answer. Competitions offer another. On one side, competition is an ongoing and seemingly endless process of pricings; on the other, competitions are discrete and bounded in time and location, with entry rules, judges, scores, and prizes. This book examines what happens when ever more activities in domains of everyday life are evaluated and experienced in terms of performance metrics. Unlike organized competitions, such systems are ceaseless and without formal entry. Instead of producing resolutions, their scorings create addictions. To understand these developments, this book explores discrete contests (architectural competitions, international music competitions, and world press photo competitions); shows how the continuous updating of rankings is both a device for navigating the social world and an engine of anxiety; and examines the production of such anxiety in settings ranging from the pedagogy of performance in business schools to struggling musicians coping with new performance metrics in online platforms. In the performance society, networks of observation—in which all are performing and keeping score—are entangled with a system of emotionally charged preoccupations with one’s positioning within the rankings. From the bedroom to the boardroom, pharmaceutical companies and management consultants promise enhanced performance. This assemblage of metrics, networks, and their attendant emotional pathologies is herein regarded as the performance complex.
32

Schiller, Dan. Network Connectivity and Labor Systems. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038761.003.0001.

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This chapter discusses the impact of network connectivity on labor systems, arguing that the response to the recession of the 1970s was a profound one and eventually led to the crash of 2008. It explains how the early to mid-1970s brought forward information and communications technology (ICT) as the heart of capitalist development and situates this shift into networks within trends in production, finance, and U.S. military activity. It also examines what Kim Moody calls the “great transformation,” when a basement-to-attic redesign touched everything from the content of specific jobs to the technical division of labor within companies and entire industries, to the location of discrete and now increasingly isolable production systems. This “Great Transformation” is analyzed from two vantage points. The first concerns the labor process, the second, the wider commodity chains within which labor has been mobilized.
33

Silberstein, Michael, W. M. Stuckey, and Timothy McDevitt. Relational Blockworld Approach to Unification and Quantum Gravity. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198807087.003.0007.

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The main thread of chapter 6 prompts the need for quantum gravity (QG) and introduces the RBW approach to QG, unification in particle physics, dark matter, and dark energy. The details of RBW’s modified Regge calculus and modified lattice gauge theory approaches are conveyed conceptually in the main thread. The RBW fits of galactic rotation curves, galactic cluster mass profiles, the angular power spectrum of the cosmic microwave background, and the Union2.1 supernova data associated with dark matter and dark energy are in Foundational Physics for Chapter 6. In Philosophy of Physics for Chapter 6, RBW’s taxonomic location with respect to other discrete approaches to QG is detailed and it is argued that the search for QG is stymied by the dynamical paradigm across the board. Further, it is maintained that an adynamical global constraint as the basis for QG in the block universe provides a self-vindicating unification of physics.
34

Oklopcic, Zoran. Nephos, Scopos, Algorithm. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799092.003.0005.

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Chapter 5 moves beyond the two most politically consequential understandings of the right to self-determination: attributed to Demos and Ethnos respectively. While normative theorists are not sure how to evoke these figures, this chapter treats them as ensembles that are extracted from Nephos; an even fuzzier and more granular political ‘aerosol’. Against it as a backdrop, the discrete locations of territorial rights will also appear more fuzzified—not as identifiable locations, but rather as Scopos; visual effects of concealed, but nevertheless contestable scopic regimes. Once its holders and objects appear in that light, otherwise incommensurable accounts of the right to self-determination will reveal a denominator they secretly share: a Kelsenian ‘tendency’—an aspiration to increase the degree of constituent attachments across the entirety of the spacetime of a constitutional order whose legitimacy is put in question by a demand for ‘self-determination’.
35

Bense, Judith A. Presidios of Spanish West Florida. University Press of Florida, 2022. http://dx.doi.org/10.5744/florida/9781683402558.001.0001.

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Presidios of Spanish West Florida provides the first comprehensive synthesis of historical and archaeological investigations conducted at the fortified settlements built by Spain in the Florida panhandle from 1698 to 1763. Combining intensive research by author Judith Bense, a lifelong specialist on the Spanish West Florida period, with a century’s worth of additional data, this landmark study brings to light four presidio locations that have long been overshadowed by the presidio at St. Augustine to the east, revealing the rest of the story of early Spanish Florida. Bense details a history fraught with catastrophe—hurricanes, war against France and England, and treaties that forced the Spanish base in West Florida to be uprooted and rebuilt four times. Examining each presidio, including associated military outposts, a shipwreck, and refugee mission villages of the Apalachee and Yamasee Indians, this book provides four discrete, sequential windows into the Spanish presence in the region. Bense compares the population to that of Presidio San Agustln, established 133 years earlier, revealing very different communities, people, and local customs. Interwoven with these historical findings is an account of how the general public has participated in investigations in the region, providing readers with an understanding of eighteenth-century West Florida and the development of public archaeology in the state from the person who initiated and directed much of the research.
36

Hentschell, Roze. St Paul's Cathedral Precinct in Early Modern Literature and Culture. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198848813.001.0001.

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St Paul’s Cathedral Precinct in Early Modern Literature and Culture: Spatial Practices is a study of London’s cathedral, its immediate surroundings, and its everyday users in early modern literary and historical documents and images, with a special emphasis on the late sixteenth and early seventeenth centuries. Hentschell discusses representations of several of the seemingly discrete spaces of the precinct to reveal how these spaces overlap with and inform one another spatially. She argues that specific locations—including the Paul’s nave (also known as Paul’s Walk), Paul’s Cross pulpit, the bookshops of Paul’s Churchyard, the College of the Minor Canons, Paul’s School, the performance space for the Children of Paul’s, and the fabric of the cathedral itself—should be seen as mutually constitutive and in a dynamic, ever-evolving state. To support this argument, she attends closely to the varied uses of the precinct, including the embodied spatial practices of early modern Londoners and visitors, who moved through the precinct, paused to visit its sacred and secular spaces, and/or resided there. This includes the walkers in the nave, sermon-goers, those who shopped for books, the residents of the precinct, the choristers—who were also schoolboys and actors—and those who were devoted to church repairs and renovations. By attending to the interactions between place and people and to the multiple stories these interactions tell—Hentschell attempts to animate St Paul’s and deepen our understanding of the cathedral and precinct in the early modern period.
37

Noakes, Lucy, Claire Langhamer, and Claudia Siebrecht, eds. Total War. British Academy, 2020. http://dx.doi.org/10.5871/bacad/9780197266663.001.0001.

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War is often lived through and remembered as a time of heightened emotional intensity. This edited collection places the emotions of war centre stage. It explores emotional responses in particular wartime locations, maps national and transnational emotional cultures, and proposes new ways of deploying emotion as an analytical device. Whilst grief and fear are among the emotions most immediately associated with the rhetoric, experience, and memory of war, this collection suggests that feelings such as love, shame, pride, jealousy, anger, and resentment also merit attention. This book explores the status and uses of emotion as a category of historical and contemporaneous analysis. It goes beyond the cataloguing of discrete feelings to consider the use of emotion to understand the past. It considers the emotional agency of historical actors and the contexts, modes, and time frames in which they communicated their feelings. Wartime provides a dynamic context for thinking through the possibilities and limitations of the emotional approach. This collection provides case studies that explain how emotional registers respond to world events. These range from First World War Germany, interwar France, and Second World War Britain to the Greek Civil War and to the post-war world. Several chapters trace the emotional legacy of war across different conflicts and to the present day: they show how past, present, and possible futures intersect in the emotions of a moment. They also reveal links between the intimate, the national, and the international, between interiority and sociality, and between conflict and its aftermath.
38

Wikle, Christopher K. Spatial Statistics. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.710.

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The climate system consists of interactions between physical, biological, chemical, and human processes across a wide range of spatial and temporal scales. Characterizing the behavior of components of this system is crucial for scientists and decision makers. There is substantial uncertainty associated with observations of this system as well as our understanding of various system components and their interaction. Thus, inference and prediction in climate science should accommodate uncertainty in order to facilitate the decision-making process. Statistical science is designed to provide the tools to perform inference and prediction in the presence of uncertainty. In particular, the field of spatial statistics considers inference and prediction for uncertain processes that exhibit dependence in space and/or time. Traditionally, this is done descriptively through the characterization of the first two moments of the process, one expressing the mean structure and one accounting for dependence through covariability.Historically, there are three primary areas of methodological development in spatial statistics: geostatistics, which considers processes that vary continuously over space; areal or lattice processes, which considers processes that are defined on a countable discrete domain (e.g., political units); and, spatial point patterns (or point processes), which consider the locations of events in space to be a random process. All of these methods have been used in the climate sciences, but the most prominent has been the geostatistical methodology. This methodology was simultaneously discovered in geology and in meteorology and provides a way to do optimal prediction (interpolation) in space and can facilitate parameter inference for spatial data. These methods rely strongly on Gaussian process theory, which is increasingly of interest in machine learning. These methods are common in the spatial statistics literature, but much development is still being done in the area to accommodate more complex processes and “big data” applications. Newer approaches are based on restricting models to neighbor-based representations or reformulating the random spatial process in terms of a basis expansion. There are many computational and flexibility advantages to these approaches, depending on the specific implementation. Complexity is also increasingly being accommodated through the use of the hierarchical modeling paradigm, which provides a probabilistically consistent way to decompose the data, process, and parameters corresponding to the spatial or spatio-temporal process.Perhaps the biggest challenge in modern applications of spatial and spatio-temporal statistics is to develop methods that are flexible yet can account for the complex dependencies between and across processes, account for uncertainty in all aspects of the problem, and still be computationally tractable. These are daunting challenges, yet it is a very active area of research, and new solutions are constantly being developed. New methods are also being rapidly developed in the machine learning community, and these methods are increasingly more applicable to dependent processes. The interaction and cross-fertilization between the machine learning and spatial statistics community is growing, which will likely lead to a new generation of spatial statistical methods that are applicable to climate science.

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