Academic literature on the topic 'Computing Mathematics'

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Journal articles on the topic "Computing Mathematics"

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Bitter, Gary G., and Mary M. Hatfield. "COMPUTING AND MATHEMATICS." Journal of Reading, Writing, and Learning Disabilities International 5, no. 1 (1989): 1–21. http://dx.doi.org/10.1080/0748763890050102.

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Saiedian, Hossein. "Mathematics of Computing." Computer Science Education 3, no. 3 (1992): 203–21. http://dx.doi.org/10.1080/0899340920030302.

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Gordon, Neil. "Mathematics and Computing." MSOR Connections 4, no. 2 (2004): 10–13. http://dx.doi.org/10.11120/msor.2004.04020010.

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Lax, Peter D. "Mathematics and computing." Journal of Statistical Physics 43, no. 5-6 (1986): 749–56. http://dx.doi.org/10.1007/bf02628302.

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Hatfield, Larry L. "Instructional Computing." Arithmetic Teacher 32, no. 6 (1985): 27–30. http://dx.doi.org/10.5951/at.32.6.0027.

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One of the most important goals of mathematics education is the development of students' abilities to think and reason in numerical and spatial situations. How might we use computers as tools for stimulating and guiding the construction of the child's mathematical thinking? The approaches taken by two elementary school teacher are briefly described. Although the uses of the computer by the teacher differ, both adopt a problematic approach to teaching to emphasize the child's mathematical thinking.
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Taylor, John, John E. Munro, and Chapman and Hall. "Discrete Mathematics for Computing." Mathematical Gazette 77, no. 480 (1993): 383. http://dx.doi.org/10.2307/3619796.

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Ho, Diem. "Financial mathematics and computing." Applied Stochastic Models and Data Analysis 8, no. 3 (1992): 135–36. http://dx.doi.org/10.1002/asm.3150080303.

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MASCARI, G. F. "TOWARDS NONCOMMUTATIVE COMPUTING." International Journal of Modern Physics B 14, no. 22n23 (2000): 2451–54. http://dx.doi.org/10.1142/s0217979200001965.

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This paper presents first steps of an approach to quantum information processing in the framework of higher category theory from a noncommutative mathematics perspective. The aim is to provide a unifying theory for the structure and dynamics of composite quantum information processing systems, such that states, evolution, entanglement, decoherence are modeled by abstract categorical constructions and vice versa new mathematical structures arising from higher dimensional algebra could be "tested" as computational schemes and possibly realized by physical experiments.
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Iserles, A., and J. C. Diaz. "Mathematics for Large Scale Computing." Mathematical Gazette 74, no. 469 (1990): 324. http://dx.doi.org/10.2307/3619869.

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Rowell, Eric C., and Zhenghan Wang. "Mathematics of topological quantum computing." Bulletin of the American Mathematical Society 55, no. 2 (2018): 183–238. http://dx.doi.org/10.1090/bull/1605.

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Dissertations / Theses on the topic "Computing Mathematics"

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Rush, David B. Ph D. Massachusetts Institute of Technology. "Computing the Lusztig-Vogan bijection." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113549.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 129-130).<br>Let G be a connected complex reductive algebraic group with Lie algebra g. The Lusztig-Vogan bijection relates two bases for the bounded derived category of G-equivariant coherent sheaves on the nilpotent cone 11 of g. One basis is indexed by ..., the set of dominant weights of G, and the other by [Omega], the set of pairs ... consisting of a nilpotent orbit ... and an irreducible G-equivariant vector bundle
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Fasoulakis, Michail. "Computing approximate Nash equilibria." Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/91306/.

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The problem of finding equilibria in non-cooperative games and understanding their properties is a central problem in modern game theory. After John Nash proved that every finite game has at least one equilibrium (so-called Nash equilibrium), the natural question arose whether we can compute one efficiently. After several years of extensive research, we now know that the problem of finding a Nash equilibrium is PPAD-complete even for two-player normal-form games, making the task of finding approximate Nash equilibria one of the central questions in the area of equilibrium computation. In this
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Nivens, Ryan Andrew. "Computing in STEM." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/239.

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Belleville, Patrice. "Computing two-covers of simple polygons." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=60490.

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A set ${ cal P} = P sb1,P sb2, ...,P sb{k}$ of polygons is called a k-cover of a simple polygon P if $P = cup sbsp{i=1}{k} P sb{i}$. It has been shown that finding k-covers of polygons by subpolygons of a given class is almost always NP-hard, whenever k is allowed to vary. Shermer (She91a) gave a linear time algorithm to determine if P has a two-cover by convex polygons, and to find one if it exists. A polygon P is star-shaped if it has a point which sees all the others, and $L sb{k}$-convex if every pair of points can be joined by a polygonal path of at most k links contained in P. In this th
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Saias, Alain Isaac. "Randomness versus non-determinism in distributed computing." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/37022.

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Wong, Yee Lok Ph D. Massachusetts Institute of Technology. "High-performance computing with PetaBricks and Julia." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67818.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 163-170).<br>We present two recent parallel programming languages, PetaBricks and Julia, and demonstrate how we can use these two languages to re-examine classic numerical algorithms in new approaches for high-performance computing. PetaBricks is an implicitly parallel language that allows programmers to naturally express algorithmic choice explicitly at the language level. The PetaBricks compiler and autotuner is not only able
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Shannon, Erica Hilary. "Computing invariant forms for Lie algebras using heaps." Thesis, University of Colorado at Boulder, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10150997.

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<p>In this thesis, I present a combinatorial formula for a symmetric invariant quartic form on a spin module for the simple Lie algebra <b>d</b><sub> 6</sub>. This formula relies on a description of this spin module as a vector space with weights, and weight vectors, indexed by ideals of a particular heap. I describe a new statistic, the profile, on pairs of heap ideals. The profile efficiently encodes the shape of the symmetric difference between the two ideals and demonstrates the available actions of the Weyl group and Lie algebra on any given pair. From the profile, I identify a property c
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Leong, Chi Keong. "Computing for pricing compound options." Thesis, University of Macau, 2006. http://umaclib3.umac.mo/record=b1636812.

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Holm, Marcus. "Scientific computing on hybrid architectures." Licentiate thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-200242.

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Modern computer architectures, with multicore CPUs and GPUs or other accelerators, make stronger demands than ever on writers of scientific code. As a rule of thumb, the fastest, most efficient program consists of labor-intensive code written by expert programmers for a certain application on a particular computer. This thesis deals with several algorithmic and technical approaches towards effectively satisfying the demand for high-performance parallel programming without incurring such a high cost in expert programmer time. Effective programming is accomplished by writing performance-portable
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Long, Nguyen Hoang. "Authentication protocols in pervasive computing." Thesis, University of Oxford, 2009. https://ora.ox.ac.uk/objects/uuid:d21c0ce6-5dd6-43ef-b6c6-01346d02031b.

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The popularity of personal computing devices (e.g. smart cards) exposes users to risks, notably identity theft, and creates new requirements for secure communication. A recently proposed approach to creating secure communication is to use human trust and human interactions. These approaches potentially eliminate the need for passwords as in Bluetooth, shared secrets or trusted parties, which are often too complex and expensive to use in portable devices. In this new technology, handheld devices exchange data (e.g. payment, heart rates or public keys) over some medium (e.g. WiFi) and then displ
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Books on the topic "Computing Mathematics"

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Ghosh, Debdas, Debasis Giri, Ram N. Mohapatra, Kouichi Sakurai, Ekrem Savas, and Tanmoy Som, eds. Mathematics and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2095-8.

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Giri, Debasis, Ram N. Mohapatra, Heinrich Begehr, and Mohammad S. Obaidat, eds. Mathematics and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4642-1.

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O’Regan, Gerard. Mathematics in Computing. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4534-9.

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Mohapatra, Ram N., Dipanwita Roy Chowdhury, and Debasis Giri, eds. Mathematics and Computing. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2452-5.

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O’Regan, Gerard. Mathematics in Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34209-8.

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Ghosh, Debdas, Debasis Giri, Ram N. Mohapatra, Ekrem Savas, Kouichi Sakurai, and L. P. Singh, eds. Mathematics and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0023-3.

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Whitehead, C. A. Mathematics for computing. 2nd ed. External Advisory Service, University of London, 1993.

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A, Vince. Discrete mathematics for computing. E. Horwood, 1990.

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Discrete mathematics for computing. Chapman & Hall, 1992.

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Haggarty, Rod. Discrete mathematics for computing. Addison-Wesley, 2002.

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Book chapters on the topic "Computing Mathematics"

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Hämmerlin, Günther, and Karl-Heinz Hoffman. "Computing." In Numerical Mathematics. Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-4442-4_1.

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Hougardy, Stefan, and Jens Vygen. "Computing with Integers." In Algorithmic Mathematics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39558-6_3.

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Hougardy, Stefan, and Jens Vygen. "Computing with Errors." In Algorithmic Mathematics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39558-6_5.

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Rosenberg, Arnold L., and Denis Trystram. "“Doing” Mathematics: A Toolkit for Mathematical Reasoning." In Understand Mathematics, Understand Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58376-7_2.

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Kommadi, Bhagvan. "Mathematics Behind Quantum Computing." In Quantum Computing Solutions. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6516-1_2.

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O’Regan, Gerard. "Overview Mathematics in Computing." In World of Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75844-2_4.

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Buell, Duncan. "Mathematics, Computing, and Arithmetic." In Undergraduate Topics in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73492-3_8.

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Stein, William. "Computing periods." In Graduate Studies in Mathematics. American Mathematical Society, 2007. http://dx.doi.org/10.1090/gsm/079/10.

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Kempf, George R. "Computing invariants." In Lecture Notes in Mathematics. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/bfb0078808.

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Risset, Jean-Claude. "Computing Musical Sound." In Mathematics and Music. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04927-3_13.

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Conference papers on the topic "Computing Mathematics"

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Szabo, P., V. Moucha, and M. Ferencova. "Cloud Computing and Numerical Mathematics." In 2018 16th International Conference on Emerging eLearning Technologies and Applications (ICETA). IEEE, 2018. http://dx.doi.org/10.1109/iceta.2018.8572039.

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Watt, Stephen M. "On the Mathematics of Mathematical Handwriting Recognition." In 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2010). IEEE, 2010. http://dx.doi.org/10.1109/synasc.2010.93.

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Li Liu, Yi Yang, and Lian Li. "Mathematics Computing Environment on the Web." In Second International Conference on Semantics, Knowledge, and Grid (SKG 2006). IEEE, 2006. http://dx.doi.org/10.1109/skg.2006.61.

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Bailey, D. H., D. Broadhurst, Y. Hida, Xiaoye S. Li, and B. Thompson. "High Performance Computing Meets Experimental Mathematics." In ACM/IEEE SC 2002 Conference. IEEE, 2002. http://dx.doi.org/10.1109/sc.2002.10060.

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Betteridge, Jack, James H. Davenport, Melina Freitag, et al. "Teaching of Computing to Mathematics Students." In CEP '19: Computing Education Practice. ACM, 2019. http://dx.doi.org/10.1145/3294016.3294022.

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Stiefs, Dirk, Thilo Gross, Ezio Venturino, and Ulrike Feudel. "Computing 3D Bifurcation Diagrams." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2991095.

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Middleton, W. "Undergraduate engineering mathematics - an aspect of computing?" In IEE International Symposium Engineering Education: Innovations in Teaching, Learning and Assessment. IEE, 2001. http://dx.doi.org/10.1049/ic:20010033.

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Hildenbrand, Dietmar. "Foundations of Geometric Algebra computing." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756054.

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Jones, Sharon, Renada Poteat, and Beth Frierson. "Gaming and mathematics." In the 7th Workshop in Primary and Secondary Computing Education. ACM Press, 2012. http://dx.doi.org/10.1145/2481449.2481488.

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Meng, HuiFang, and Fangjian Fu. "The Infiltration of Mathematical Modeling Thought in Advanced Mathematics Teaching." In 2017 4th International Conference on Education, Management and Computing Technology (ICEMCT 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/icemct-17.2017.114.

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Reports on the topic "Computing Mathematics"

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Dongarra, J., J. Hittinger, J. Bell, et al. Applied Mathematics Research for Exascale Computing. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1149042.

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Grossberg, Stephen. Instrumentation for Scientific Computing in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada189981.

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Lennon, Elizabeth B. Computer Systems Laboratory Computing and Applied Mathematics Laboratory, technical accomplishments October 1994 through March 1996. National Institute of Standards and Technology, 1996. http://dx.doi.org/10.6028/nist.ir.5854.

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Megginson, Robert, and Hugo Rossi. Quantum Computing Program at the Mathematical Sciences Research Institute. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada417275.

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Pieper, Gail, Karen Devine, Esmond Ng, Leonid Oliker, and Robert Ross. Two new SciDAC institutes promote mathematical tools and software technology for high-performance computing. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1688571.

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Department of Energy Mathematical, Information, and Computational Sciences Division: High Performance Computing and Communications Program. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/392846.

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Department of Energy: MICS (Mathematical Information, and Computational Sciences Division). High performance computing and communications program. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/239336.

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