Academic literature on the topic 'Other theoretical computer science and computational mathematics'
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Journal articles on the topic "Other theoretical computer science and computational mathematics"
Kumar, Rakesh. "FUTURE FOR SCIENTIFIC COMPUTING USING PYTHON." International Journal of Engineering Technologies and Management Research 2, no. 1 (January 29, 2020): 30–41. http://dx.doi.org/10.29121/ijetmr.v2.i1.2015.28.
Full textGadanidis, George. "Artificial intelligence, computational thinking, and mathematics education." International Journal of Information and Learning Technology 34, no. 2 (March 6, 2017): 133–39. http://dx.doi.org/10.1108/ijilt-09-2016-0048.
Full textArmoni, Michal, Judith Gal-Ezer, and Dina Tirosh. "Solving Problems Reductively." Journal of Educational Computing Research 32, no. 2 (March 2005): 113–29. http://dx.doi.org/10.2190/6pcm-447v-wf7b-qeuf.
Full textLandsberg, J. M. "Algebraic geometry and representation theory in the study of matrix multiplication complexity and other problems in theoretical computer science." Differential Geometry and its Applications 82 (June 2022): 101888. http://dx.doi.org/10.1016/j.difgeo.2022.101888.
Full textPop, Nicolae, Marin Marin, and Sorin Vlase. "Mathematics in Finite Element Modeling of Computational Friction Contact Mechanics 2021–2022." Mathematics 11, no. 1 (January 3, 2023): 255. http://dx.doi.org/10.3390/math11010255.
Full textRodis, Panteleimon. "On defining and modeling context-awareness." International Journal of Pervasive Computing and Communications 14, no. 2 (June 4, 2018): 111–23. http://dx.doi.org/10.1108/ijpcc-d-18-00003.
Full textALT, HELMUT, and LUDMILA SCHARF. "COMPUTING THE HAUSDORFF DISTANCE BETWEEN CURVED OBJECTS." International Journal of Computational Geometry & Applications 18, no. 04 (August 2008): 307–20. http://dx.doi.org/10.1142/s0218195908002647.
Full textLütgehetmann, Daniel, Dejan Govc, Jason P. Smith, and Ran Levi. "Computing Persistent Homology of Directed Flag Complexes." Algorithms 13, no. 1 (January 7, 2020): 19. http://dx.doi.org/10.3390/a13010019.
Full textMitrović, Melanija, Mahouton Norbert Hounkonnou, and Marian Alexandru Baroni. "Theory of Constructive Semigroups with Apartness – Foundations, Development and Practice." Fundamenta Informaticae 184, no. 3 (February 15, 2022): 233–71. http://dx.doi.org/10.3233/fi-2021-2098.
Full textSOLGHAR, ALIREZA ARAB, and S. A. GANDJALIKHAN NASSAB. "THE INVESTIGATION OF THERMOHYDRODYNAMIC CHARACTERISTIC OF SINGLE AXIAL GROOVE JOURNAL BEARINGS WITH FINITE LENGTH BY USING CFD TECHNIQUES." International Journal of Computational Methods 10, no. 05 (May 2013): 1350031. http://dx.doi.org/10.1142/s021987621350031x.
Full textDissertations / Theses on the topic "Other theoretical computer science and computational mathematics"
Williamson, Alexander James. "Methods, rules and limits of successful self-assembly." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:9eb549f9-3372-4a38-9370-a9b0e58ca26b.
Full textBlakey, Edward William. "A model-independent theory of computational complexity : from patience to precision and beyond." Thesis, University of Oxford, 2010. http://ora.ox.ac.uk/objects/uuid:5db40e2c-4a22-470d-9283-3b59b99793dc.
Full textDunn, Sara-Jane Nicole. "Towards a computational model of the colonic crypt with a realistic, deformable geometry." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:c3c9440a-52ac-4a3d-8e1c-5dc276b8eb6c.
Full textLeonard, Katherine H. L. "Mathematical and computational modelling of tissue engineered bone in a hydrostatic bioreactor." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:05845740-1a74-4e19-95ea-6b5229d1af27.
Full textDutta, Sara. "A multi-scale computational investigation of cardiac electrophysiology and arrhythmias in acute ischaemia." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:f5f68d8b-7a60-4109-91c8-6b1d80c7ee5b.
Full textKay, Sophie Kate. "Cell fate mechanisms in colorectal cancer." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:f19bf73d-0c0e-4fff-9589-bf43f9ff12f0.
Full textBjörck, Olof. "Creating Interactive Visualizations for Twitter Datasets using D3." Thesis, Uppsala universitet, Matematiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-351802.
Full textProject Meme Evolution Programme
Wredh, Simon, Anton Kroner, and Tomas Berg. "A Comparison of Three Time-stepping Methods for the LLG Equation in Dynamic Micromagnetics." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-323537.
Full textUeda, Maria. "Programmering i matematik ur elevernas perspektiv : En fallstudie i en niondeklass." Thesis, KTH, Lärande, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291255.
Full textDecision makers in Sweden and internationally have come to the conclusion that teaching programming is important. In Sweden, programming was thus introduced in the Swedish curriculum in 2018, where parts of the programming education will be conducted in the subject of mathematics. Many mathematics teachers, however, feel uncertain about how this teaching should be carried out. The purpose of this work is to study programming in the subject of mathematics from the perspective of students in year 7-9, and especially in terms of mathematical learning and how to think when programming (computational thinking). This is done as a case study in a class in ninth grade that was taught programming during 6 lessons on 5 occasions. The study consists of classroom observations, short questionnaires and interviews with students. The conclusion of the case study is that the students are predominantly positive about programming in mathematics and see it as something new and different. They see programming as compared to other math lessons and appreciate the direct response the computers give. However, they have difficulty seeing direct learning in mathematics, except that the use of variables. It is not enough that the programming tasks contain mathematics for the students to experience that they learn mathematics when they program. What signs of computational thinking appear after the programming lessons depends on how computational thinking is defined. In this work, computational thinking is divided into six main concepts: abstraction, algorithmic thinking, automation, decomposition, troubleshooting and generalization, of which the students in this work show signs of algorithmic thinking, express that they appreciate automation and learn to work through troubleshooting. In addition, they describe that they collaborate and communicate more in the programming lessons than in other mathematics lessons and appreciate being able to create their own programming tasks and work with open problems.
Xi, Jiahe. "Cardiac mechanical model personalisation and its clinical applications." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:0db4cf52-4f64-4ee0-8933-3fb49d64aee6.
Full textBooks on the topic "Other theoretical computer science and computational mathematics"
S, Hofer Thomas, and Kugler Michael D, eds. The basics of theoretical and computational chemistry. Weinheim: Wiley-VCH, 2007.
Find full textNo, Jong-Seon. Mathematical Properties of Sequences and Other Combinatorial Structures. Boston, MA: Springer US, 2003.
Find full text1952-, Calude Cristian, Dinneen M. J. 1957-, and Vajnovszki Vincent, eds. Discrete mathematics and theoretical computer science: 4th international conference, DMTCS 2003, Dijon, France, July 2003, proceedings. Berlin: Springer, 2003.
Find full textCangiani, Andrea. Numerical Mathematics and Advanced Applications 2011: Proceedings of ENUMATH 2011, the 9th European Conference on Numerical Mathematics and Advanced Applications, Leicester, September 2011. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Find full textComputational chemistry: A practical guide for applying techniques to real world problems. New York: Wiley, 2001.
Find full textHui, Wai-How. Computational Fluid Dynamics Based on the Unified Coordinates. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Find full textSirca, Simon. Computational Methods for Physicists: Compendium for Students. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Find full textWu, Xinyuan. Structure-Preserving Algorithms for Oscillatory Differential Equations. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Find full textDietmar, Kröner, Resch Michael, and SpringerLink (Online service), eds. High Performance Computing in Science and Engineering '11: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2011. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Find full textGriebel, Michael. Meshfree Methods for Partial Differential Equations VI. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Find full textBook chapters on the topic "Other theoretical computer science and computational mathematics"
Rajeswari, S., M. Indhumathy, A. Somasundaram, Neeru Sood, and S. Arumugam. "Identification of Salinity Stress Tolerant Proteins in Sorghum Bicolor Computational Approach." In Theoretical Computer Science and Discrete Mathematics, 318–25. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64419-6_41.
Full textCooperman, Gene, and Larry Finkelstein. "Combinatorial tools for computational group theory." In DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 53–86. Providence, Rhode Island: American Mathematical Society, 1993. http://dx.doi.org/10.1090/dimacs/011/05.
Full textHavas, George, and Edmund Robertson. "Application of computational tools for finitely presented groups." In DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 29–39. Providence, Rhode Island: American Mathematical Society, 1994. http://dx.doi.org/10.1090/dimacs/015/03.
Full textFarley, Jonathan. "Chain decomposition theorems for ordered sets and other musings." In DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 3–13. Providence, Rhode Island: American Mathematical Society, 1997. http://dx.doi.org/10.1090/dimacs/034/01.
Full textWinfree, Erik. "On the computational power of DNA annealing and ligation." In DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 199–221. Providence, Rhode Island: American Mathematical Society, 1996. http://dx.doi.org/10.1090/dimacs/027/09.
Full textAnderson, Richard, and Joao Setubal. "Goldberg’s algorithm for maximum flow in perspective: a computational study." In DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 1–18. Providence, Rhode Island: American Mathematical Society, 1993. http://dx.doi.org/10.1090/dimacs/012/01.
Full textArora, Sanjeev. "Nearly linear time approximation schemes for Euclidean TSP and other geometric problems." In DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 1–2. Providence, Rhode Island: American Mathematical Society, 1998. http://dx.doi.org/10.1090/dimacs/040/01.
Full textMcShine, Lisa, and Prasad Tetali. "On the mixing time of the triangulation walk and other Catalan structures." In DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 147–60. Providence, Rhode Island: American Mathematical Society, 1998. http://dx.doi.org/10.1090/dimacs/043/09.
Full textO’Donnell, Michael J. "Introduction: Logic and Logic Programming Languages." In Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780198537922.003.0004.
Full textKalai, Gil, and Shmuel Safra. "Threshold Phenomena and Influence: Perspectives from Mathematics, Computer Science, and Economics." In Computational Complexity and Statistical Physics. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195177374.003.0008.
Full textConference papers on the topic "Other theoretical computer science and computational mathematics"
"Impact of Mathematics on the Theoretical Computer Science Course Units in the General Degree Program in Computer Science at Sri Lankan State Universities." In InSITE 2018: Informing Science + IT Education Conferences: La Verne California. Informing Science Institute, 2018. http://dx.doi.org/10.28945/4057.
Full textHerta, Christian, Benjamin Voigt, Patrick Baumann, Klaus Strohmenger, Christoph Jansen, Oliver Fischer, Gefei Zhang, and Peter Hufnagel. "Deep Teaching: Materials for Teaching Machine and Deep Learning." In Fifth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/head19.2019.9177.
Full textCarrano, Dominic, Ilya Chugunov, Jonathan Lee, and Babak Ayazifar. "Self-Contained Jupyter Notebook Labs Promote Scalable Signal Processing Education." In Sixth International Conference on Higher Education Advances. Valencia: Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/head20.2020.11308.
Full textChen, Cheng, Xiaobo Zhong, Jun Xiao, Yong Zhu, and Jiao Jiang. "Performance Monitoring of Regenerative System Based on Dominant Factor Method." In ASME 2017 Power Conference Joint With ICOPE-17 collocated with the ASME 2017 11th International Conference on Energy Sustainability, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/power-icope2017-3534.
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