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Добірка наукової літератури з теми "Data structures (Computer science)"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 31 липня 2024

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Статті в журналах з теми "Data structures (Computer science)"

Manjula, V. "Graph Applications to Data Structures." Advanced Materials Research 433-440 (January 2012): 3297–301. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3297.

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This paper presents a topic on Graph theory and its application to data Structures which I consider basic and useful to students in APPLIED MATHEMATICS and ENGINEERING.This paper gives an elementary introduction of Graph theory and its application to data structures. Elements of Graph theory are indispensable in almost all computer Science areas .It can be used in Some areas such as syntactic analysis, fault detection, diagnosis in computers and minimal path problems. The computer representation and manipulation of graph are also discussed so that certain algorithms can be included .A major th

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Chen, Yaozhang. "Analysis of the Development of Computer Science and its Future Trend." Applied and Computational Engineering 8, no. 1 (August 1, 2023): 341–45. http://dx.doi.org/10.54254/2755-2721/8/20230180.

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Computer science is one of the most influential innovations of the last century, including data structures, computer and network design, modeling data and information processes, and artificial intelligence. With the development of computer science, more and more people begin to pay attention to the importance of computers. This paper tells the history of computer science, and introduces some frontier technology of computer science. Computers have greatly improved people's work and lifestyle, developed modern society, and become an indispensable part of people's lives. Computers have entered th

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Tiwari, Adarsh, Pradeep Kanyal, Himanshu Panchal, and Manjot Kaur Bhatia. "Computer Science and High Dimensional Data Modelling." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 517–20. http://dx.doi.org/10.22214/ijraset.2022.47922.

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Abstract: The need to grasp large database structures is a very important issue in biological and life science. This review paper is aimed toward quantitative medical researchers searching for guidance in modeling large numbers of variables in medical research, how this relates to straightforward linear models and therefore the geometry that underlies their analysis. Issues reviewed include LASSO-related approaches, principal-component based analysis, and problems with model stability and interpretation. Model misspecification issues associated with potential nonlinearities are examined, as is

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Munro, Ian. "Succinct Data Structures." Electronic Notes in Theoretical Computer Science 91 (February 2004): 3. http://dx.doi.org/10.1016/j.entcs.2003.12.002.

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Almanza-Cortés, Daniel Felipe, Manuel Felipe Del Toro-Salazar, Ricardo Andrés Urrego-Arias, Pedro Guillermo Feijóo-García, and Fernando De la Rosa-Rosero. "Scaffolded Block-based Instructional Tool for Linear Data Structures: A Constructivist Design to Ease Data Structures’ Understanding." International Journal of Emerging Technologies in Learning (iJET) 14, no. 10 (May 30, 2019): 161. http://dx.doi.org/10.3991/ijet.v14i10.10051.

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Data Structures courses commonly introduce topics involving high levels of abstraction and complexity, requiring significant effort from instructors and apprentices to achieve positive outcomes from the teaching-learning process. Despite the multiple studies that have occurred within the Computer Science Education (CSE) community to understand the experiences novice programmers may have when learning how to program, there is still a lack of exploration and research on understanding these experiences in scenarios different from first-year Computer Science (CS) courses. Looking further from CS i

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Giles, D. "Editorial - Data Structures." Computer Journal 34, no. 5 (May 1, 1991): 385. http://dx.doi.org/10.1093/comjnl/34.5.385.

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Smaragdakis, Yannis. "High-level data structures." Communications of the ACM 55, no. 12 (December 2012): 90. http://dx.doi.org/10.1145/2380656.2380676.

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

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Panangaden, Prakash, and Clark Verbrugge. "Generating irregular partitionable data structures." Theoretical Computer Science 238, no. 1-2 (May 2000): 31–80. http://dx.doi.org/10.1016/s0304-3975(98)00226-6.

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Elmasry, Amr, Meng He, J. Ian Munro, and Patrick K. Nicholson. "Dynamic range majority data structures." Theoretical Computer Science 647 (September 2016): 59–73. http://dx.doi.org/10.1016/j.tcs.2016.07.039.

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Дисертації з теми "Data structures (Computer science)"

Obiedat, Mohammad. "Incrementally Sorted Lattice Data Structures." Thesis, The George Washington University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3732474.

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Data structures are vital entities that strongly impact the efficiency of several software applications. Compactness, predictable memory access patterns, and good temporal and spacial locality of the structure's operations are increasingly becoming essential factors in the selection of a data structure for a specific application. In general, the less data we store and move the better for efficiency and power consumption, especially in infrastructure software and applications for hand-held devices like smartphones. In this dissertation, we extensively study a data structure named latt

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Kabiri, Chimeh Mozhgan. "Data structures for SIMD logic simulation." Thesis, University of Glasgow, 2016. http://theses.gla.ac.uk/7521/.

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Due to the growth of design size and complexity, design verification is an important aspect of the Logic Circuit development process. The purpose of verification is to validate that the design meets the system requirements and specification. This is done by either functional or formal verification. The most popular approach to functional verification is the use of simulation based techniques. Using models to replicate the behaviour of an actual system is called simulation. In this thesis, a software/data structure architecture without explicit locks is proposed to accelerate logic gate circuit

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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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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student submitted PDF version of thesis. Includes bibliographical references (p. 175-180). 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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Butts, Robert O. "Heterogeneous construction of spatial data structures." Thesis, University of Colorado at Denver, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1588178.

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Linear spatial trees are typically constructed in two discrete, consecutive stages: calculating location codes, and sorting the spatial data according to the codes. Additionally, a GPU R-tree construction algorithm exists which likewise consists of sorting the spatial data and calculating nodes' bounding boxes. Current GPUs are approximately three orders of magnitude faster than CPUs for perfectly vectorizable problems. However, the best known GPU sorting algorithms only achieve 10-20 times speedup over sequential CPU algorithms. Both calculating location codes and bounding boxes are perfe

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Toussaint, Richard. "Data structures and operations for geographical information." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23945.

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The topic of this thesis revolves around the organization of geographical information in permanent memory. Our premise is that a recognized and fully documented direct access storage technique called Multidimensional Paging or Multipaging would provide a well balanced storing structure for this category of data. Since multipaging uses a multidimensional perspective on the information to allocate it to pages in secondary storage then spatial data, which is fundamentally multidimensional by nature, would surely offer a suitable profile. First, we attempt to evaluate the efficiency of multipag

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Eid, Ashraf. "Efficient associative data structures for bitemporal databases." Thesis, University of Ottawa (Canada), 2002. http://hdl.handle.net/10393/6226.

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Most applications require storing multiple versions of data and involve a lot of temporal semantics in their schema. This requires maintenance and querying of temporal relations. A Bitemporal DBMS will simplify the development and maintenance of such applications by moving temporal support from the application into the DBMS engine. The success of such Bitemporal DBMSs relies mainly on the availability of high performance indices that handle update and search operations efficiently. A successful associative data structure (index) is the one that can efficiently partition the space of the attrib

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Zhu, Yingchun 1968. "Optimizing parallel programs with dynamic data structures." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=36745.

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Distributed memory parallel architectures support a memory model where some memory accesses are local, and thus inexpensive, while other memory accesses are remote, and potentially quite expensive. In order to achieve efficiency on such architectures, we need to reduce remote accesses. This is particularly challenging for applications that use dynamic data structures. In this thesis, I present two compiler techniques to reduce the overhead of remote memory accesses for dynamic data structure based applications: locality techniques and communication optimizations. Locality techniques include

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Karras, Panagiotis. "Data structures and algorithms for data representation in constrained environments." Thesis, Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38897647.

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Jain, Jhilmil Cross James H. "User experience design and experimental evaluation of extensible and dynamic viewers for data structures." Auburn, Ala., 2007. http://repo.lib.auburn.edu/2006%20Fall/Dissertations/JAIN_JHILMIL_3.pdf.

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Pǎtraşcu, Mihai. "Lower bound techniques for data structures." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45866.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008. Includes bibliographical references (p. 135-143). We describe new techniques for proving lower bounds on data-structure problems, with the following broad consequences: * the first [omega](lg n) lower bound for any dynamic problem, improving on a bound that had been standing since 1989; * for static data structures, the first separation between linear and polynomial space. Specifically, for some problems that have constant query time when polynomial space is allowed, we can

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Книги з теми "Data structures (Computer science)"

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

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Yedidyah, Langsam, and Augenstein Moshe J, eds. Data structures usingC. Englewood Cliffs, N.J: Prentice Hall, 1990.

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C, Walsh Brian, ed. Computer users' data book. Oxford [Oxfordshire]: Blackwell Scientific Publications, 1986.

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Lewis, Harry R. Data structures & their algorithms. New York, NY: HarperCollins Publishers, 1991.

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Feldman, Michael B. Data structures with Ada. Reading, Mass: Addison-Wesley Pub. Co., 1993.

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Tenenbaum, Aaron M. Data structures using PASCAL. 2nd ed. Englewood Cliffs,NJ: Prentice-Hall International, 1986.

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R, Hubbard J. Data structures with Java. Upper Saddle River, N.J: Pearson Prentice Hall, 2004.

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Dale, Nell B. C++ plus data structures. 2nd ed. Sudbury, Mass: Jones and Bartlett Publishers, 2001.

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Singh, Bhagat. Introduction to data structures. St. Paul: West Pub. Co., 1985.

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1967-, Zachmann Gabriel, ed. Geometric data structures for computer graphics. Wellesley, MA: A K Peters, 2005.

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Частини книг з теми "Data structures (Computer science)"

Dawe, M. S., and C. M. Dawe. "Data Structures." In PROLOG for Computer Science, 81–115. London: Springer London, 1994. http://dx.doi.org/10.1007/978-1-4471-2031-5_8.

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Skiena, Steven S. "Data Structures." In Texts in Computer Science, 439–63. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54256-6_15.

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Skiena, Steven S. "Data Structures." In Texts in Computer Science, 69–108. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54256-6_3.

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Grillmeyer, Oliver. "Data Structures." In Exploring Computer Science with Scheme, 169–97. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2937-5_7.

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Laaksonen, Antti. "Data Structures." In Undergraduate Topics in Computer Science, 51–62. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72547-5_5.

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Laaksonen, Antti. "Data Structures." In Undergraduate Topics in Computer Science, 57–68. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39357-1_5.

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Cormode, Graham. "Summary Data Structures for Massive Data." In Lecture Notes in Computer Science, 78–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39053-1_9.

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Raman, Rajeev, Venkatesh Raman, and S. Srinivasa Rao. "Succinct Dynamic Data Structures." In Lecture Notes in Computer Science, 426–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44634-6_39.

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Carlsson, Svante, and Jingsen Chen. "Searching rigid data structures." In Lecture Notes in Computer Science, 446–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0030864.

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Nielsen, Frank. "Object-Oriented Data-Structures." In Undergraduate Topics in Computer Science, 1–22. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-339-6_8.

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Тези доповідей конференцій з теми "Data structures (Computer science)"

Beckwith, Brandon, and Dewan Ahmed. "Gamification of Undergraduate Computer Science Data Structures." In 2018 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2018. http://dx.doi.org/10.1109/csci46756.2018.00129.

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Narman, Husnu S., Cameron Berry, Alex Canfield, Logan Carpenter, Jeremy Giese, Neil Loftus, and Isabella Schrader. "Augmented Reality for Teaching Data Structures in Computer Science." In 2020 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2020. http://dx.doi.org/10.1109/ghtc46280.2020.9342932.

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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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Hubbard, Aleata. "Linear Data Structures." In SIGCSE '19: The 50th ACM Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3287324.3293796.

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Weiss, Mark Allen. "Data Structures Courses." In SIGCSE '15: The 46th ACM Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2676723.2694801.

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Kortsarts, Yana. "Session details: Algorithms and data structures." In SIGCSE05: Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2005. http://dx.doi.org/10.1145/3259446.

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Coffey, John W. "Integrating theoretical and empirical computer science in a data structures course." In Proceeding of the 44th ACM technical symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2445196.2445211.

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McVey, Bonita. "Session details: Algorithms and data structures." In SIGCSE04: Technical Symposium on Computer Science Education 2004. New York, NY, USA: ACM, 2004. http://dx.doi.org/10.1145/3244203.

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Haiming Lai, Ming Xu, Jian Xu, Yizhi Ren, and Ning Zheng. "Evaluating data storage structures of MapReduce." In 2013 8th International Conference on Computer Science & Education (ICCSE). IEEE, 2013. http://dx.doi.org/10.1109/iccse.2013.6554067.

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VanDeGrift, Tammy. "POGIL Activities in Data Structures." In SIGCSE '17: The 48th ACM Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3017680.3017697.

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Звіти організацій з теми "Data structures (Computer science)"

Rudd, Ian. Leveraging Artificial Intelligence and Robotics to Improve Mental Health. Intellectual Archive, July 2022. http://dx.doi.org/10.32370/iaj.2710.

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Artificial Intelligence (AI) is one of the oldest fields of computer science used in building structures that look like human beings in terms of thinking, learning, solving problems, and decision making (Jovanovic et al., 2021). AI technologies and techniques have been in application in various aspects to aid in solving problems and performing tasks more reliably, efficiently, and effectively than what would happen without their use. These technologies have also been reshaping the health sector's field, particularly digital tools and medical robotics (Dantas & Nogaroli, 2021). The new real

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Fateman, Richard J., and Carl G. Ponder. Speed and Data Structures in Computer Algebra Systems. Fort Belvoir, VA: Defense Technical Information Center, August 1987. http://dx.doi.org/10.21236/ada197131.

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Nechaev, V., Володимир Миколайович Соловйов, and A. Nagibas. Complex economic systems structural organization modelling. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1118.

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One of the well-known results of the theory of management is the fact, that multi-stage hierarchical organization of management is unstable. Hence, the ideas expressed in a number of works by Don Tapscott on advantages of network organization of businesses over vertically integrated ones is clear. While studying the basic tendencies of business organization in the conditions of globalization, computerization and internetization of the society and the results of the ﬁnancial activities of the well-known companies, the authors arrive at the conclusion, that such companies, as IBM, Boeing, Merced

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Oleksiuk, Vasyl P., and Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4404.

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The article analyzes the phenomenon of augmented reality (AR) in education. AR is a new technology that complements the real world with the help of computer data. Such content is tied to specific locations or activities. Over the last few years, AR applications have become available on mobile devices. AR becomes available in the media (news, entertainment, sports). It is starting to enter other areas of life (such as e-commerce, travel, marketing). But education has the biggest impact on AR. Based on the analysis of scientific publications, the authors explored the possibilities of using augme

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Wachen, John, Steven McGee, Don Yanek, and Valerie Curry. Coaching Teachers of Exploring Computer Science: A Report on Four Years of Implementation. The Learning Partnership, January 2021. http://dx.doi.org/10.51420/report.2021.1.

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In this technical report, we examine the implementation of a coaching model for teachers of the Exploring Computer Science course in Chicago Public Schools over a period of four academic years (from 2016-2017 to 2019-2020). We first provide a description of the coaching model and how it evolved over time. Next, we present findings from a descriptive analysis of data collected through logs of coaching interactions and surveys of ECS teacher coaches during the 2019-2020 school year. Coaching logs and survey data were also collected during the 2018-2019 school year and, where appropriate, we comp

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Wachen, John, Mark Johnson, Steven McGee, Faythe Brannon, and Dennis Brylow. Computer Science Teachers as Change Agents for Broadening Participation: Exploring Perceptions of Equity. The Learning Partnership, April 2021. http://dx.doi.org/10.51420/conf.2021.2.

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In this paper, the authors share findings from a qualitative analysis of computer science teachers’ perspectives about equity within the context of an equity-focused professional development program. Drawing upon a framework emphasizing educator belief systems in perpetuating inequities in computer science education and the importance of equity-focused teacher professional development, we explored how computer science teachers understand the issue of equity in the classroom. We analyzed survey data from a sample of participants in a computer science professional development program, which reve

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Goncharenko, Tatiana, Nataliia Yermakova-Cherchenko, and Yelyzaveta Anedchenko. Experience in the Use of Mobile Technologies as a Physics Learning Method. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4468.

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Swift changes in society, related to sciences technicians’ development, technologies, by the increase of general volume of information, pull out new requirements for maintenance, structure, and quality of education. It requires teachers to diversify a tool in the direction of the increase in possibilities of the use of mobile technologies and computer systems. Lately in the world, more attention spared to the use of mobile learning, which in obedience to «Recommendations of UNESCO on the questions of a policy in the area of mobile learning» foresees the use of mobile technology, both separate

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Johnson, Mark, John Wachen, and Steven McGee. Entrepreneurship, Federalism, and Chicago: Setting the Computer Science Agenda at the Local and National Levels. The Learning Partnership, April 2020. http://dx.doi.org/10.51420/conf.2020.1.

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From 2012-13 to 2018-19, the number of Chicago Public Schools (CPS) high school students taking an introductory computer science course rose from three thousand per year to twelve thousand per year. Our analysis examines the policy entrepreneurship that helped drive the rapid expansion of computer science education in CPS, within the broader context of the development of computer science at the national level. We describe how actions at the national level (e.g., federal policy action and advocacy work by national organizations) created opportunities in Chicago and, likewise, how actions at the

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Chamberlain, C. A., and K. Lochhead. Data modeling as applied to surveying and mapping data. Natural Resources Canada/CMSS/Information Management, 1988. http://dx.doi.org/10.4095/331263.

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The Geodetic Survey Division of the Canada Centre for Surveying is replacing the National Geodetic Data Base (NGDB) with the National Geodetic Information System (NGIS). For the NGIS to be successful, it was recognized that a sound, well engineered data mode was essential. The methodology chosen to design the data mode! was Nijssen's Information Analysis Methodology (NIAM), a binary modeling technique that is supported by a Computer Aided Software Engineering (CASE) tool, PC-IAST. An NGIS prototype has also been developed using Digital Equipment of Canada's Relational Database (Rdb) management

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Tucker Blackmon, Angelicque. Formative External Evaluation and Data Analysis Report Year Three: Building Opportunities for STEM Success. Innovative Learning Center, LLC, August 2020. http://dx.doi.org/10.52012/mlfk2041.

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