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Books on the topic 'Branch and bound algorithm'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Rocktäschel, Stefan. A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-29149-5.

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2

Moursli, Omar. Scheduling the hybrid flowshop: Branch and bound algorithms. Louvain-la-Neuve: CIACO, 1999.

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3

Kedia, Pradeep. Optimal solution of set covering problems using dual heuristics. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1987.

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4

Stephanie, Stahl, ed. Branch-and-bound applications in combinatorial data analysis. New York: Springer, 2005.

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5

1950-, Bushnell Michael L., ed. Efficient branch and bound search with application to computer-aided design. Boston: Kluwer Academic Publishers, 1996.

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6

Chen, Xinghao. Efficient Branch and Bound Search with Application to Computer-Aided Design. Boston, MA: Springer US, 1996.

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7

Hajian, Mozafar Taghi. Design, implementation and testing of an integrated branch and bound algorithm for piecewise linear and discrete programming problems within an LP framework. Uxbridge: Brunel University, Department of Mathematics and Statistics, 1992.

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8

Automatic verification of sequential infinite-state processes. Berlin: Springer, 1997.

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9

Automatic verification of sequential infinite-state processes. Berlin: Springer, 1997.

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10

Turpin, Heather Jane. The branch-and-bound paradigm. Norwich: University of East Anglia, 1990.

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11

Brusco, Michael. Branch-and-bound applications in combinatorial data analysis. New York, NY: Springer, 2004.

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12

Rush, S. A. Implementation of parallel branch-and-bound on a network of transputers. Norwich: University of East Anglia, 1992.

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13

Chen, Xinghao, and Michael L. Bushnell. Efficient Branch and Bound Search with Application to Computer-Aided Design. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1329-8.

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14

Eagle, James N. An optimal branch-and-bound procedure for the constrained path, moving target search problem. Monterey, Calif: Naval Postgraduate School, 1987.

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15

Rocktäschel, Stefan. A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization. Springer, 2020.

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16

Bolouri, Maryam. Network models with generalized upper bound side constraints. 1989.

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17

Crainic, Teodor Gabriel, and Catherine Roucairol. Parallel Branch and Bound. John Wiley & Sons Inc, 2007.

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18

Branch-and-Bound Applications in Combinatorial Data Analysis. New York: Springer-Verlag, 2005. http://dx.doi.org/10.1007/0-387-28810-4.

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19

Network Interdiction by Lagrandian Relaxation and Branch-and-Bound. Storming Media, 2002.

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20

Scholz, Daniel. Deterministic Global Optimization: Geometric Branch-and-bound Methods and their Applications. Springer, 2011.

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21

Branch-and-Bound Applications in Combinatorial Data Analysis (Statistics and Computing). Springer New York, 2006.

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22

Separable Optimierung Durch Innere-Punkte-Methoden: Ein Ansatz Auf Der Grundlage Des Branch-And-Bound Prinzips (Europaische Hochschulschriften). Peter Lang Publishing, 2002.

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23

Gregory, Richard, Sir British Science Guild. A catalogue of British scientific and technical books, covering every branch of science and technology carefully classified and indexed 1921 [Leather Bound]. Generic, 2019.

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24

Robert F, Williams. Part III Structure of State Government, 10 The State Judicial Branch. Oxford University Press, 2009. http://dx.doi.org/10.1093/acprof:oso/9780195343083.003.0010.

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This chapter discusses the differences between the federal and state judiciary. Many state judges are elected through a variety of mechanisms. The workload of state supreme courts has evolved over the years from a private-law orientation to more constitutional law and public policy kinds of cases. In addition, state courts exercise a number of nonadjudicatory powers such as rulemaking on practice and procedure before the courts and regulation of lawyers. Some state courts have the authority to issue advisory opinions and answer certified questions, and some of them have asserted certain inherent powers such as to require adequate funding levels. State courts also retain the power to develop common law doctrine, as well as to resolve disputes among state and local government officials and agencies in ways that rarely involve the federal judiciary. State courts are also not bound by the rigid federal doctrines of standing, mootness, and ripeness.

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25

Compston, Alastair. A short history of clinical neurology. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198569381.003.0014.

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More than any other branch of medicine, the practice of neurology depends on the classical methods of intuitive conversation, structured examination, and selective investigation. We teach the importance of eliciting an accurate neurological history. The key symptoms at onset are identified and their subsequent course defined. For the experienced clinician, this process becomes routine, efficient, and quick. The competent neurologist is the one who instinctively senses relevant components of the history, appreciates the most likely underlying disease mechanisms, reliably elicits the relevant physical signs, knows which investigations are necessary and assesses their relevance in the clinical context, provides a sensible clinical formulation, and communicates the situation accurately and sensitively to the patient and relatives. Rather than slavishly collecting an encyclopaedia of facts, in which the key issues may be lost in a surfeit of redundant information, the critical components are sifted and the subsequent conversation steered down an algorithm that seeks anatomical, physiological, and pathological explanations for what the patient describes.

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26

Davidson, Donald. The Perils and Pleasures of Interpretation. Edited by Ernest Lepore and Barry C. Smith. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199552238.003.0041.

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There is a contrast between the difficulties that stand in the way of explaining in detail how we manage to find out what is in other people's minds and the relative ease with which we do it in practice. The first part of the article explores the obstacles that thwart theory, the second part describes features of our minds that work in our favor when it comes to practice. At the end it is suggested that the project of fully naturalizing our understanding of other minds — a project philosophers are bound to find enticing — is doomed. We understand others, but we cannot reduce this understanding to a branch of the natural sciences.

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27

Koenderink, Jan. Visual Illusions? Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0008.

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The very definition of “illusion” is elusive. Various distinct ontologies are considered. The concept is tightly bound to the understanding of reality, awareness, “God’s eye,” objectivity, subjectivity, emphatic relations, and several others. Here the distinctions between “illusion,” “ambiguity, “delusion,” and “deception,” are clarified. The very notion of illusion is closely tied to conceptual approaches to mind. Especially the dichotomy between a top-down “controlled hallucination” and a bottom-up “inverse physics” approach accounts for much confusion in the literature. It is suggested that a thoroughly biological approach might be preferable. In such an approach, experimental psychobiology would be a special sub-branch—devoted to the genus homo—of ethology. Does this help to impose a formal structure, such as a partial order, on the zoo of illusions as we know them? Unfortunately, not really. At this moment in history, we are still far from such a reasoned inventory.

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