Bibliografie tematiche / Data structures

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Letteratura scientifica selezionata sul tema "Data structures"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Data structures"

1

Tamassia, Roberto. "Data structures." ACM Computing Surveys 28, no. 1 (1996): 23–26. http://dx.doi.org/10.1145/234313.234323.

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Jarc, Duane J. "Data structures." ACM SIGCSE Bulletin 26, no. 2 (1994): 2–4. http://dx.doi.org/10.1145/181648.181651.

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Biswas, Ranjit. "Data structures for big data." International Journal of Computing and Optimization 1 (2014): 73–93. http://dx.doi.org/10.12988/ijco.2014.4813.

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Basch, Julien, Leonidas J. Guibas, and John Hershberger. "Data Structures for Mobile Data." Journal of Algorithms 31, no. 1 (1999): 1–28. http://dx.doi.org/10.1006/jagm.1998.0988.

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Yarosh, Svetlana, and Mark Guzdial. "Narrating data structures." Journal on Educational Resources in Computing 7, no. 4 (2008): 1–20. http://dx.doi.org/10.1145/1316450.1316456.

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RUUS, H. "Lexical Data Structures." Literary and Linguistic Computing 3, no. 3 (1988): 169–76. http://dx.doi.org/10.1093/llc/3.3.169.

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Giles, D. "Editorial - Data Structures." Computer Journal 34, no. 5 (1991): 385. http://dx.doi.org/10.1093/comjnl/34.5.385.

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Demaine, Erik D., John Iacono, and Stefan Langerman. "Retroactive data structures." ACM Transactions on Algorithms 3, no. 2 (2007): 13. http://dx.doi.org/10.1145/1240233.1240236.

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Louchard, G., Claire Kenyon, and R. Schott. "Data Structures' Maxima." SIAM Journal on Computing 26, no. 4 (1997): 1006–42. http://dx.doi.org/10.1137/s0097539791196603.

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Nair, Achuth Sankar S., and T. Mahalakshmi. "Conceptualizing data structures." ACM SIGCSE Bulletin 36, no. 4 (2004): 97–100. http://dx.doi.org/10.1145/1041624.1041668.

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Tesi sul tema "Data structures"

1

Jarvis, Kimberley James. "Transactional data structures." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/transactional-data-structures(7060eaec-7dbd-4d5a-be1a-a753d9aa32d5).html.

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Abstract (sommario):
Concurrent programming is difficult and the effort is rarely rewarded by faster execution. The concurrency problem arises because information cannot pass instantly between processors resulting in temporal uncertainty. This thesis explores the idea that immutable data and distributed concurrency control can be combined to allow scalable concurrent execution and make concurrent programming easier. A concurrent system that does not impose a global ordering on events lends itself to a scalable distributed implementation. A concurrent programming environment in which the ordering of events affectin
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Eastep, Jonathan M. (Jonathan Michael). "Smart data structures : an online machine learning approach to multicore data structures." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65967.

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Abstract (sommario):
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student submitted PDF version of thesis.<br>Includes bibliographical references (p. 175-180).<br>As multicores become prevalent, the complexity of programming is skyrocketing. One major difficulty is eciently orchestrating collaboration among threads through shared data structures. Unfortunately, choosing and hand-
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Ohashi, Darin. "Cache Oblivious Data Structures." Thesis, University of Waterloo, 2001. http://hdl.handle.net/10012/1060.

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This thesis discusses cache oblivious data structures. These are structures which have good caching characteristics without knowing Z, the size of the cache, or L, the length of a cache line. Since the structures do not require these details for good performance they are portable across caching systems. Another advantage of such structures isthat the caching results hold for every level of cache within a multilevel cache. Two simple data structures are studied; the array used for binary search and the linear list. As well as being cache oblivious, the structures presented in this
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Chaudhary, Amitabh. "Applied spatial data structures for large data sets." Available to US Hopkins community, 2002. http://wwwlib.umi.com/dissertations/dlnow/3068131.

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Miner, andrew S. "Data structures for the analysis of large structured Markov models." W&M ScholarWorks, 2000. https://scholarworks.wm.edu/etd/1539623985.

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High-level modeling formalisms are increasingly popular tools for studying complex systems. Given a high-level model, we can automatically verify certain system properties or compute performance measures about the system. In the general case, measures must be computed using discrete-event simulations. In certain cases, exact numerical analysis is possible by constructing and analyzing the underlying stochastic process of the system, which is a continuous-time Markov chain (CTMC) in our case. Unfortunately, the number of states in the underlying CTMC can be extremely large, even if the high-lev
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Jürgens, Marcus. "Index structures for data warehouses." [S.l. : s.n.], 1999. http://www.diss.fu-berlin.de/2000/93/index.html.

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Jürgens, Marcus. "Index structures for data warehouses." Berlin ; Heidelberg : Springer, 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=96554155X.

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Colbrook, Adrian. "The engineering of data structures." Thesis, University of Surrey, 1990. http://epubs.surrey.ac.uk/843605/.

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Abstract (sommario):
Abstraction in computer programming provides a means of reducing complexity by emphasising the significant information (program behaviour) whilst suppressing the immaterial (program implementation). This aids program construction, improves reliability and maintainability, and eases the application of formal correctness proofs. The importance of data abstraction in the specification, design and implementation of large systems raises the question as to whether such methods may be applied in the context of programming languages designed before the widespread use of abstraction techniques. The pro
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Jürgens, Marcus. "Index structures for data warehouses /." Berlin [u.a.] : Springer, 2002. http://www.loc.gov/catdir/enhancements/fy0817/2002021075-d.html.

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Goulet, Jean 1939. "Data structures for chess programs." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65427.

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Libri sul tema "Data structures"

1

David, Giles, ed. Data structures. Cambridge University Press, for the British Computer Society., 1991.

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2

Keogh, James Edward. Data structures demystified. McGraw-Hill/Osborne, 2004.

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3

Yedidyah, Langsam, and Augenstein Moshe J, eds. Data structures usingC. Prentice Hall, 1990.

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4

Lubiw, Anna, and Mohammad Salavatipour, eds. Algorithms and Data Structures. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83508-8.

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Friggstad, Zachary, Jörg-Rüdiger Sack, and Mohammad R. Salavatipour, eds. Algorithms and Data Structures. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24766-9.

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Akl, Selim G., Frank Dehne, Jörg-Rüdiger Sack, and Nicola Santoro, eds. Algorithms and Data Structures. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60220-8.

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Dehne, Frank, Roberto Solis-Oba, and Jörg-Rüdiger Sack, eds. Algorithms and Data Structures. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40104-6.

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Dehne, Frank, Marina Gavrilova, Jörg-Rüdiger Sack, and Csaba D. Tóth, eds. Algorithms and Data Structures. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03367-4.

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Dehne, Frank, Jörg-Rüdiger Sack, and Roberto Tamassia, eds. Algorithms and Data Structures. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44634-6.

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Dehne, Frank, Alejandro López-Ortiz, and Jörg-Rüdiger Sack, eds. Algorithms and Data Structures. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11534273.

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Capitoli di libri sul tema "Data structures"

1

Jay, Barry. "Data Structures." In Pattern Calculus. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89185-7_3.

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Angell, Ian O., and Dimitrios Tsoubelis. "Data structures." In Advanced Graphics on VGA and XGA Cards Using Borland C++. Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-22336-7_3.

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King, M. J., and J. P. Pardoe. "Data Structures." In Program Design Using JSP. Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-22081-6_2.

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Dudman, Kay. "Data structures." In JSP for Practical Program Design. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-2537-7_2.

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Hunt, John. "Data Structures." In Java for Practitioners. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0843-6_14.

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Taylor, Graham. "Data Structures." In Making Sense of Information Technology. Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-10649-3_9.

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Hodges, Jason Lee. "Data Structures." In Software Engineering from Scratch. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5206-2_12.

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Manelli, Luciano. "Data Structures." In Introducing Algorithms in C. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5623-7_1.

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Betounes, David, and Mylan Redfern. "Data Structures." In Mathematical Computing. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0067-0_6.

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Johansson, Anna-Lena, Agneta Eriksson-Granskog, and Anneli Edman. "Data Structures." In Prolog Versus You. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-71922-6_3.

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Atti di convegni sul tema "Data structures"

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Weissenböck, Renate, Timo Carl, Agnes Weilandt, and Roger Loho. "Kerf Canopy: Exploring the aesthetics and structural performance of kerf-bent timber structures." In eCAADe 2024: Data-Driven Intelligence. eCAADe, 2024. http://dx.doi.org/10.52842/conf.ecaade.2024.1.401.

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Pinto, Domenick J. "Data structures." In the 1988 ACM sixteenth annual conference. ACM Press, 1988. http://dx.doi.org/10.1145/322609.323146.

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Patrascu, Mihai. "(Data) STRUCTURES." In 2008 IEEE 49th Annual IEEE Symposium on Foundations of Computer Science (FOCS). IEEE, 2008. http://dx.doi.org/10.1109/focs.2008.69.

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Rogowitz, Bernice E., and Lloyd A. Treinish. "Data structures and perceptual structures." In IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, edited by Jan P. Allebach and Bernice E. Rogowitz. SPIE, 1993. http://dx.doi.org/10.1117/12.152734.

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RUSH, T., P. SCHRANTZ, and B. AGRAWAL. "Analysis of Intelsat V flight data." In 28th Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-784.

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Campbell, Mark, and Mark Campbell. "Uncertainty effects in model-data correlation." In 38th Structures, Structural Dynamics, and Materials Conference. American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-1030.

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SMITH, SUZANNE, and CHRISTOPHER BEATTIE. "Optimal identification using inconsistent modal data." In 32nd Structures, Structural Dynamics, and Materials Conference. American Institute of Aeronautics and Astronautics, 1991. http://dx.doi.org/10.2514/6.1991-948.

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KUNZ, D., and A. HOPKINS. "Structured data in structural analysis software." In 26th Structures, Structural Dynamics, and Materials Conference. American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-742.

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Micciancio, Daniele. "Oblivious data structures." In the twenty-ninth annual ACM symposium. ACM Press, 1997. http://dx.doi.org/10.1145/258533.258638.

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Balakrishnan, Darshana, Lukasz Ziarek, and Oliver Kennedy. "Fluid data structures." In the 17th ACM SIGPLAN International Symposium. ACM Press, 2019. http://dx.doi.org/10.1145/3315507.3330197.

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Rapporti di organizzazioni sul tema "Data structures"

1

Mix, Scott, Mark Rice, Siddharth Sridhar, et al. Universal Utility Data Exchange (UUDEV) - Data Structures. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1778856.

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Kahan, Simon. Data Structures for Extreme Scale Computing. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1395134.

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Liblit, Ben, and Alexander Aiken. Type Systems for Distributed Data Structures. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada603881.

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Bowman, Keith, and Xiaoping Qian. Uncovering Topological Structures in Unstructured Data. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada619112.

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Currie, A., and B. Ady. GEOSIS project: knowledge representation and data structures for geoscience data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128053.

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Portier, Rebecca W., Richard D. Peacock, and Paule A. Reneke. Data structures for the fire data management system, FDMS 2.0. National Institute of Standards and Technology, 1997. http://dx.doi.org/10.6028/nist.ir.6088.

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Tamassia, Roberto. Dynamic Data Structures for Two-Dimensional Searching. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada201173.

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Lofstead II, Gerald F. Integrated IO Services for Trilinos Data Structures. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1504109.

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Ravichandran, A., and K. Kant. Analysis and Synthesis of Robust Data Structures. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada224568.

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Giglio, Stefano, Bryan Kelly, and Serhiy Kozak. Equity Term Structures without Dividend Strips Data. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31119.

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