Relevant bibliographies by topics / Numerical

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Numerical'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Numerical"

1

Gniazdowski, Zenon. "New Approach to Clustering Random Attributes." Zeszyty Naukowe WWSI 18, no. 31 (2024): 41–90. https://doi.org/10.26348/znwwsi.31.41.

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This paper proposes a new method for similarity analysis and, consequently, a new algorithm for clustering different types of random attributes, both numerical and nominal. However, in order for nominal attributes to be clustered, their values must be properly encoded. In the encoding process, nominal attributes obtain a new representation in numerical form. Only the numeric attributes can be subjected to factor analysis, which allows them to be clustered in terms of their similarity to factors.  The proposed method was tested for several sample datasets. It was found that the proposed me
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Tsujimoto, Koichi, Toshihiko Shakouchi, Shuji Sasazaki, and Toshitake Ando. "Direct Numerical Simulation of Jet Mixing Control Using Combined Jets(Numerical Simulation)." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2005 (2005): 725–30. http://dx.doi.org/10.1299/jsmeicjwsf.2005.725.

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Lima Júnior, Édio Pereira, Wendel Rodrigues Miranda, André Luiz Tenório Rezende, and Arnaldo Ferreira. "Numerical Simulation of Impact." International Journal of Innovative Research in Engineering & Management 5, no. 1 (2018): 24–29. http://dx.doi.org/10.21276/ijirem.2018.5.1.6.

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Umrzoqova, Kommuna Xursanovna. "Numerical Technologies In Economy." American Journal of Interdisciplinary Innovations and Research 03, no. 05 (2021): 100–104. http://dx.doi.org/10.37547/tajiir/volume03issue05-18.

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This article deals with the several key technologies of the numerical economy, such as BIMPLM,loT, SRM, BIG DATA.. Analyzed the advantages and the risks of the implementation of numerical technologies in economy and the role of numerical technologies in the development of economy.
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Tabsum, B. "Python for Numerical Integration." International Journal of Science and Research (IJSR) 12, no. 5 (2023): 1801–5. http://dx.doi.org/10.21275/mr23521182224.

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Akat, M., R. Kosker, and A. Sirma. "On the numerical schemes for Langevin-type equations." BULLETIN OF THE KARAGANDA UNIVERSITY-MATHEMATICS 99, no. 3 (2020): 62–74. http://dx.doi.org/10.31489/2020m3/62-74.

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In this paper, a numerical approach is proposed based on the variation-of-constants formula for the numerical discretization Langevin-type equations. Linear and non-linear cases are treated separately. The proofs of convergence have been provided for the linear case, and the numerical implementation has been executed for the non-linear case. The order one convergence for the numerical scheme has been shown both theoretically and numerically. The stability of the numerical scheme has been shown numerically and depicted graphically.
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Ward, Jennifer A. "Catalogo Numerico Ricordi (Ricordi Online Numerical Catalogue)." Music Reference Services Quarterly 18, no. 2 (2015): 115–19. http://dx.doi.org/10.1080/10588167.2015.1029810.

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Denis, Christophe, and Sethy Montan. "Numerical Verification of Industrial Numerical Codes." ESAIM: Proceedings 35 (March 2012): 107–13. http://dx.doi.org/10.1051/proc/201235006.

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Li, Chi-Kwong. "C-numerical ranges andC-numerical radii." Linear and Multilinear Algebra 37, no. 1-3 (1994): 51–82. http://dx.doi.org/10.1080/03081089408818312.

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OKAWA, HIROTADA. "INITIAL CONDITIONS FOR NUMERICAL RELATIVITY: INTRODUCTION TO NUMERICAL METHODS FOR SOLVING ELLIPTIC PDEs." International Journal of Modern Physics A 28, no. 22n23 (2013): 1340016. http://dx.doi.org/10.1142/s0217751x13400162.

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Numerical relativity became a powerful tool to investigate the dynamics of binary problems with black holes or neutron stars as well as the very structure of General Relativity. Although public numerical relativity codes are available to evolve such systems, a proper understanding of the methods involved is quite important. Here, we focus on the numerical solution of elliptic partial differential equations. Such equations arise when preparing initial data for numerical relativity, but also for monitoring the evolution of black holes. Because such elliptic equations play an important role in ma
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Dissertations / Theses on the topic "Numerical"

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Miletto, Petrazzini Maria Elena. "At the root of numerical cognition: fish as a model species to study pre - verbal numerical abilities." Doctoral thesis, Università degli studi di Padova, 2014. http://hdl.handle.net/11577/3423820.

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Although only our species has achieved high level of mathematical reasoning, numerical abilities are not a human prerogative and in last decades comparative research showed that several animal species display rudimentary numerical capacities (Agrillo & Beran, 2013). The ability to discriminate between quantities provide multiple benefits in different ecological contexts. For instance, numerical abilities can be useful to select the larger amount of food (Hunt et al., 2008), to reduce the probability of being spotted by predators by getting protection within the largest group of social compani
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Gooch, Kerry A. "Numerical electrochemistry." Thesis, University of Bath, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425881.

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Branco, Manuel Baptista. "Numerical semigroups." Doctoral thesis, Universidade de Évora, 2002. http://hdl.handle.net/10174/23098.

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Munro, Peter Robert Thomas. "Application of numerical methods to high numerical aperture imaging." Thesis, Imperial College London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427816.

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Reddinger, Kaitlin Sue. "Numerical Stability & Numerical Smoothness of Ordinary Differential Equations." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1431597407.

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Piffer, Laura. "L'ontogenesi e la filogenesi delle abilità numeriche." Doctoral thesis, Università degli studi di Padova, 2012. http://hdl.handle.net/11577/3422124.

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In the last decades several studies have demonstrated that some numerical abilities are not strictly related to symbolic language and they are not a human prerogative. Recently the ability to discriminate between two quantities has been demonstrated also in fish. The aim of this project was to study the mechanisms underlying the non verbal numerical abilities in vertebrates. I investigated whether fish possess two independent numerical systems for the representation of small (<4) and large (>4) number or they possess a unique system that operates on the whole numerical scale. Both spontaneous
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文偉業 and Wai-yip Man. "Some properties of C-numerical ranges and C-numerical radii." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1992. http://hub.hku.hk/bib/B31210491.

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Lam, Tsz-mang, and 林梓萌. "The joint numerical range and the joint essential numerical range." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B49858853.

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Let B(H) denote the algebra of bounded linear operators on a complex Hilbert space H. The (classical) numerical range of T ∈ B(H) is the set W(T) = {〈T x; x〉: x ∈ H; ‖x‖ = 1} Writing T= T_1 + iT_2 for self-adjoint T_1, T_2 ∈ B(H), W(T) can be identified with the set {(〈T_1 x, x〉,〈T_2 x, x〉) : x ∈ H, ‖x‖ = 1}. This leads to the notion of the joint numerical range of T= 〖(T〗_1, T_2, …, T_n) ∈ 〖B(H)〗^n. It is defined by W(T) = {(〈T_1 x, x〉,〈T_2 x, x〉, …, 〈T_n x, x〉) : x ∈ H, ‖x‖ = 1}. The joint numerical range has been studied extensively in order to understand the joint beha
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Wu, Wenwei. "Chemical reactions in turbulence : numerical studies through direct numerical simulations." Thesis, Littoral, 2021. http://www.theses.fr/2021DUNK0577.

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Le présent travail se concentre sur les propriétés statistiques des scalaires réactifs subissant des réactions chimiques réversibles en turbulence incompressible. Une analyse théorique des propriétés statistiques des scalaires à différents ordres de moments a été réalisée sur la base d'approximations et de modèles convenablement proposés. Les résultats théoriquement dérivés ont ensuite été comparés aux résultats numériques obtenus par simulation numérique directe (DNS). Dans la simulation numérique directe, les dérivés spatiales ont été principalement approximées en utilisant une méthode pseud
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Man, Wai-yip. "Some properties of C-numerical ranges and C-numerical radii /." [Hong Kong] : University of Hong Kong, 1992. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13215024.

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Books on the topic "Numerical"

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Kress, Rainer. Numerical analysis. Springer, 1998.

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Karniadakis, George Em, ed. Numerical Methods. De Gruyter, 2019. http://dx.doi.org/10.1515/9783110571684.

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Iyengar, S. R. K. Numerical methods. New Age International (P) Ltd., Publishers, 2009.

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Shevchenko, Alesya. Numerical methods. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/996207.

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The textbook describes the basics of numerical methods for solving problems of mathematical analysis, linear algebra and ordinary differential equations. Considerable attention is paid to the issues of algorithmization of methods. It can be used when performing laboratory, course, final qualification and research works. Each topic contains a theoretical justification and a large number of examples of solving practical problems using the Maple mathematical package.&#x0D; Meets the requirements of the federal state educational standards of higher education of the latest generation.&#x0D; It is i
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Pagès, Gilles. Numerical Probability. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90276-0.

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Joyce, Philip. Numerical C. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5064-8.

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

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Kress, Rainer. Numerical Analysis. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-0599-9.

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Hennart, Jean-Pierre, ed. Numerical Analysis. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/bfb0072666.

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Tanguy, Jean-Michel, ed. Numerical Methods. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9781118557877.

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Book chapters on the topic "Numerical"

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Weik, Martin H. "numerical." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_12615.

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Harris, John W., and Horst Stocker. "Numerical Computation (arithmetics and numerics)." In Handbook of Mathematics and Computational Science. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-5317-4_1.

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Ueberhuber, Christoph W. "Numerical Data and Numerical Operations." In Numerical Computation 1. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59118-1_4.

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Joyce, Philip. "Numerical Integration." In Numerical C. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5064-8_3.

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Gustafson, Karl E., and Duggirala K. M. Rao. "Numerical Range." In Numerical Range. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4613-8498-4_1.

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Gustafson, Karl E., and Duggirala K. M. Rao. "Numerical Analysis." In Numerical Range. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4613-8498-4_4.

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Rajasekar, Shanmuganathan. "Numerical Integration." In Numerical Methods. CRC Press, 2024. http://dx.doi.org/10.1201/9781032649931-10.

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Rajasekar, Shanmuganathan. "Numerical Differentiation." In Numerical Methods. CRC Press, 2024. http://dx.doi.org/10.1201/9781032649931-8.

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Turner, Peter R. "Numerical Differentiation." In Numerical Analysis. Macmillan Education UK, 1994. http://dx.doi.org/10.1007/978-1-349-13108-2_10.

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Turner, Peter R. "Numerical Integration." In Numerical Analysis. Macmillan Education UK, 1994. http://dx.doi.org/10.1007/978-1-349-13108-2_11.

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Conference papers on the topic "Numerical"

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Zhi, Lihong. "Numerical optimization in hybrid symbolic-numeric computation." In ISSAC07: International Symposium on Symbolic and Algebraic Computation. ACM, 2007. http://dx.doi.org/10.1145/1277500.1277507.

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L. Farmer, C. "Numerical Rocks." In ECMOR I - 1st European Conference on the Mathematics of Oil Recovery. European Association of Geoscientists & Engineers, 1989. http://dx.doi.org/10.3997/2214-4609.201411323.

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Le Vacon, Philippe, Thomas Buisson, and Fabien Albert. "Numerical Template." In SAE 2015 AeroTech Congress & Exhibition. SAE International, 2015. http://dx.doi.org/10.4271/2015-01-2489.

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de Comite, Francesco, and Laurent Grisoni. "Numerical anamorphosis." In SA'15: SIGGRAPH Asia 2015. ACM, 2015. http://dx.doi.org/10.1145/2835641.2835642.

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Shi, Zhong-Ci, and Teruo Ushijima. "NUMERICAL MATHEMATICS." In First China-Japan Joint Seminar. WORLD SCIENTIFIC, 1993. http://dx.doi.org/10.1142/9789812798169.

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"Numerical Concepts." In Proceedings of the Conference “Kadanoff-Baym Equations: Progress and Perspectives for Many-Body Physics”. WORLD SCIENTIFIC, 2000. http://dx.doi.org/10.1142/9789812793812_others08.

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Manteuffel, D. "Numerical dosimetry." In Technical Seminar on Antenna Measurements and SAR (AMS 2004). IEE, 2004. http://dx.doi.org/10.1049/ic:20040077.

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"Numerical Techniques." In 2023 IEEE XXVIII International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED). IEEE, 2023. http://dx.doi.org/10.1109/diped59408.2023.10269475.

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"Numerical Techniques." In 2024 IEEE 29th International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED). IEEE, 2024. http://dx.doi.org/10.1109/diped63529.2024.10706040.

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Koppitz, Michael. "Numerical Results From Numerical Binary Black Hole Evolutions." In LASER INTERFEROMETER SPACE ANTENNA: 6th International LISA Symposium. AIP, 2006. http://dx.doi.org/10.1063/1.2405028.

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Reports on the topic "Numerical"

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Giraldo, Francis X. Advanced Numerical Methods for Numerical Weather Prediction. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada609966.

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Giraldo, Francis X. Advanced Numerical Methods for Numerical Weather Prediction. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada625715.

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Zirilli, Francesco, and Luciano Misici. Numerical Optimization. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada198586.

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Parter, S. Numerical Analysis. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada160207.

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Parter, Seymour V. Numerical Analysis. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada174936.

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Parter, Seymour V. Numerical Analysis. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada221982.

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Giraldo, Francis X. Advanced Numerical Methods for Numerical Weather Prediction (NWP). Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada627348.

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Kilian, Patrick Frank Heiner. Numerical Plasma Physics. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1623410.

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Dai, William. Numerical Diffusion (Mixing) of Material in Numerical Simulations of Hydrodynamics. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1778735.

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Jeon, Youngjoon, and Khalid Mosalam. Experimental and Numerical Investigation of Ballistic Impact Response of Polymethylmetacrylate. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2024. http://dx.doi.org/10.55461/vphp1004.

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For understanding characteristics of Polymethylmetacrylate (PMMA) under impact, the damage behavior of PMMA plates with various thicknesses (1.5 to 6.0 mm) subjected to ballistic impacts with various velocities (63 to 180 m/s) is experimentally investigated using a specialized testing apparatus. Moreover, numerical simulations using the Finite Element Method (FEM) are conducted for the corresponding experimentally studied cases. Ductile response and brittle tensile failure behavior are considered in the FEM to describe the nonlinear response and the failure mode of the PMMA plates. The numeric
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