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Journal articles on the topic 'Numerical'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

BRUZZO, UGO, and BEATRIZ GRAÑA OTERO. "NUMERICALLY FLAT HIGGS VECTOR BUNDLES." Communications in Contemporary Mathematics 09, no. 04 (2007): 437–46. http://dx.doi.org/10.1142/s0219199707002526.

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After providing a suitable definition of numerical effectiveness for Higgs bundles, and a related notion of numerical flatness, in this paper we prove, together with some side results, that all Chern classes of a Higgs-numerically flat Higgs bundle vanish, and that a Higgs bundle is Higgs-numerically flat if and only if it is has a filtration whose quotients are flat stable Higgs bundles. We also study the relation between these numerical properties of Higgs bundles and (semi)stability.

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12

D’Anna, M., and F. Strazzanti. "The numerical duplication of a numerical semigroup." Semigroup Forum 87, no. 1 (2012): 149–60. http://dx.doi.org/10.1007/s00233-012-9451-x.

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13

Qin, Hongyu, Xiaoli Chen, and Boya Zhou. "A Family of Transformed Difference Schemes for Nonlinear Time-Fractional Equations." Fractal and Fractional 7, no. 1 (2023): 96. http://dx.doi.org/10.3390/fractalfract7010096.

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In this paper, we present a class of finite difference methods for numerically solving fractional differential equations. Such numerical schemes are developed based on the change in variable and piecewise interpolations. Error analysis of the numerical schemes is obtained by using a Grönwall-type inequality. Numerical examples are given to confirm the theoretical results.

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14

Matušů, Josef, Gejza Dohnal, and Martin Matušů. "On one method of numerical integration." Applications of Mathematics 36, no. 4 (1991): 241–63. http://dx.doi.org/10.21136/am.1991.104464.

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15

Botta, Nicola, and Rolf Jeltsch. "A numerical method for unsteady flows." Applications of Mathematics 40, no. 3 (1995): 175–201. http://dx.doi.org/10.21136/am.1995.134290.

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16

H, Girija Bai. "Numerical Analysis of Aneurysm in Artery." International Journal of Psychosocial Rehabilitation 24, no. 4 (2020): 4975–81. http://dx.doi.org/10.37200/ijpr/v24i4/pr201597.

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17

ROTARU, Constantin. "NUMERICAL SOLUTIONS FOR COMBUSTION WAVE VELOCITY." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 21, no. 1 (2019): 184–93. http://dx.doi.org/10.19062/2247-3173.2019.21.25.

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18

Song, Daegene. "Numerical Analysis in Entanglement Swapping Protocols." NeuroQuantology 20, no. 2 (2022): 153–57. http://dx.doi.org/10.14704/nq.2022.20.2.nq22083.

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Entanglement has recently been one of the most essential elements in the development of various quantum technologies. In fact, a swapping protocol was introduced to create a long-distance entanglement from multiple shorter ones. Extending the previous work, this paper provides a more detailed numerical analysis to help create long-distance entanglement out of the two non-maximal three-level states. Specifically, it shows that while the protocol does not always yield optimal results, namely, the weaker link, there is a substantial number of states that yield an optimal result. Moreover, we disc

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19

Bieżanek, BMJC. "The Unified theory of Numerical Polarity." Advances in Theoretical & Computational Physics 8, no. 2 (2024): 01–07. https://doi.org/10.33140/atcp.08.02.03.

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The author of this article started his career as a self-taught, selfemployed C&I engineer, metamorphosing himself in about 2007 into a self-taught, self-employed quantum physicist. This selfteaching of quantum physics has led him into changing his career once again into becoming a teacher of the superior arithmetical logic required in quantum physics. We need this superior arithmetical logic in order to obtain a grip upon Quantum-Relativity. Except with the subject of Quantum Relativity, our arithmetical concepts can remain rather sloppy, for Quantum-Relativity we must rid our arithmetical

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20

Benim, Ali Cemal, Aydin Cicek, and Arif Mert Eker. "A numerical analysis of the thermohydraulics of an EGS project in Turkey." MATEC Web of Conferences 240 (2018): 05001. http://dx.doi.org/10.1051/matecconf/201824005001.

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A numerical study of the thermohydraulics of an enhanced geothermal system project in Turkey is presented. The solid structures are modelled as porous media, using the numerically determined hydraulic fracturing data of other authors. The influence of several numerical modelling aspects such as the domain size, grid resolution, temporal resolution as well as the discretization scheme are investigated and assessed to obtain highly accurate numerical solutions under the applied modelling assumptions. Using the suggested mathematical and numerical model, different production scenarios are investi

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21

Kozelkov, Andrey, Andrey Kurkin, Vadim Kurulin, Kseniya Plygunova, and Olga Krutyakova. "Validation of the LOGOS Software Package Methods for the Numerical Simulation of Cavitational Flows." Fluids 8, no. 3 (2023): 104. http://dx.doi.org/10.3390/fluids8030104.

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Verification problems and numeric simulation of cavitation processes with the help of LOGOS computational fluid dynamics software are presented in this article. The Volume of Fluid method realized within LOGOS allowing numerical simulation of double-phase problems with a free surface is used for numeric simulation. Cavitation is resolved by updating the method with the account for interphase mass exchange; its condensation and evaporation parameters are calculated with the use of the Schnerr–Sauer and Zwart–Gerber–Belamri cavitation models. Numerical simulation results of most actual test prob

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22

Hsu, Shih Tsung. "Numerical Simulation of Driven Piles in Alluvial Soil." Applied Mechanics and Materials 105-107 (September 2011): 1415–19. http://dx.doi.org/10.4028/www.scientific.net/amm.105-107.1415.

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This study developed a numerical method to establish a comprehensive load-settlement curve for a driven pile. Analysis results shown that the residual forces caused by the driving of the pile can be simulated using the numerical method that proposed herein. The load was applied to the tested piles, while the incremental displacement was subjected to numerical piles. Although these two processes are distinctive, the load-settlement behaviors of various piles calculated numerically are consistent with those measured from field tests. Moreover, the proposed numerical method highlighted the post-p

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23

LIU, ZHI-FENG, and XIAO-HONG WANG. "FLUID PERMEABILITY IN TWO-DIMENSIONAL PERCOLATION POROUS MEDIA." International Journal of Modern Physics B 18, no. 17n19 (2004): 2523–28. http://dx.doi.org/10.1142/s0217979204025609.

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The scaling relations for the fluid permeability in percolation structures are numerically studied using both of the coarse numerical grid and the refined numerical grid. We suggest that the permeability for viscous fluid flows in two-dimensional lattice percolation porous media be equivalent to the conductivity problem in percolation theory, independent of the simulation refinements. The refined numerical grid does not lead to the new universality.

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24

Higdon, Robert L. "Numerical modelling of ocean circulation." Acta Numerica 15 (May 2006): 385–470. http://dx.doi.org/10.1017/s0962492906250013.

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Computational simulations of ocean circulation rely on the numerical solution of partial differential equations of fluid dynamics, as applied to a relatively thin layer of stratified fluid on a rotating globe. This paper describes some of the physical and mathematical properties of the solutions being sought, some of the issues that are encountered when the governing equations are solved numerically, and some of the numerical methods that are being used in this area.

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25

ÜNAL, Osman, and Nuri AKKAŞ. "An Innovative Approach for Numerical Solution of the Unsteady Convection-Dominated Flow Problems." Karadeniz Fen Bilimleri Dergisi 12, no. 2 (2022): 1069–80. http://dx.doi.org/10.31466/kfbd.1165640.

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In this study, convection-diffusion equation is solved numerically using four different space discretization methods namely first-order upwinding, second-order central difference, cubic (partially upwinded) and cubic-TVD (Total Variation Diminishing) techniques. All methods are compared with the analytical solution. The first-order method is not close to the analytical solution due to the numerical dispersion. The higher-order techniques reduce numerical dispersion. However, they cause another numerical error, unphysical oscillation. This study proposes an innovative approach on cubic-TVD meth

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26

Dufour, M.-A., G. Pinon, E. Rivoalen, and G. Germain. "Influence of wakes interaction and upstream turbulence on three tidal turbines behaviour." Journal of Physics: Conference Series 2767, no. 5 (2024): 052017. http://dx.doi.org/10.1088/1742-6596/2767/5/052017.

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Abstract The current study presents numerical results on three tidal turbine models (two in front, one downstream) interacting in a turbulent upstream flow. The numerical results come from a lifting-line (LL) embedded in a Lagrangian vortex particle (VP) solver: Dorothy LL-VP. The objective is to assess the extent to which this numerical tool is suited to reproduce accurately wakes interaction as well as fluctuating loads perceived by the downstream turbine. To this aim, the numerical set-up reproduces an experimental campaign led at IFREMER’s wave and current flume tank. The downstream turbin

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27

RADULESCU, MATEI I., GARY J. SHARPE, CHUNG K. LAW, and JOHN H. S. LEE. "The hydrodynamic structure of unstable cellular detonations." Journal of Fluid Mechanics 580 (May 21, 2007): 31–81. http://dx.doi.org/10.1017/s0022112007005046.

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The study analyses the cellular reaction zone structure of unstable methane–oxygen detonations, which are characterized by large hydrodynamic fluctuations and unreacted pockets with a fine structure. Complementary series of experiments and numerical simulations are presented, which illustrate the important role of hydrodynamic instabilities and diffusive phenomena in dictating the global reaction rate in detonations. The quantitative comparison between experiment and numerics also permits identification of the current limitations of numerical simulations in capturing these effects. Simulations

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28

Bourgeron, Patrick, Pierre Legendre, and Louis Legendre. "Numerical Ecology." Arctic, Antarctic, and Alpine Research 32, no. 2 (2000): 218. http://dx.doi.org/10.2307/1552458.

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29

Buxton, William. "Numerical Controversy." Computer Music Journal 12, no. 3 (1988): 8. http://dx.doi.org/10.2307/3680331.

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30

Ellerby, F. B., I. Jacques, and C. Judd. "Numerical Analysis." Mathematical Gazette 72, no. 460 (1988): 156. http://dx.doi.org/10.2307/3618958.

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31

Jackson, I. R. H., and Bill Dalton. "Numerical Analysis." Mathematical Gazette 76, no. 476 (1992): 307. http://dx.doi.org/10.2307/3619167.

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32

Mudge, Michael Richard, and Peter R. Turner. "Numerical Analysis." Mathematical Gazette 81, no. 491 (1997): 342. http://dx.doi.org/10.2307/3619249.

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33

Iserles, A., G. Hammerlin, and K. H. Hoffmann. "Numerical Mathematics." Mathematical Gazette 78, no. 481 (1994): 91. http://dx.doi.org/10.2307/3619466.

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34

G., W., Gunther Hammerlin, Karl-Heinz Hoffmann, and Larry Schumaker. "Numerical Mathematics." Mathematics of Computation 58, no. 198 (1992): 855. http://dx.doi.org/10.2307/2153223.

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35

Chen, Justin, and Joe Kileel. "Numerical implicitization." Journal of Software for Algebra and Geometry 9, no. 1 (2019): 55–63. http://dx.doi.org/10.2140/jsag.2019.9.55.

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36

Siegler, Robert S., and David W. Braithwaite. "Numerical Development." Annual Review of Psychology 68, no. 1 (2017): 187–213. http://dx.doi.org/10.1146/annurev-psych-010416-044101.

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37

Strawderman, William E., and Rainer Kress. "Numerical Analysis." Journal of the American Statistical Association 95, no. 449 (2000): 348. http://dx.doi.org/10.2307/2669585.

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38

Murakami, Akira, Akihiko Wakai, and Kazunori Fujisawa. "Numerical Methods." Soils and Foundations 50, no. 6 (2010): 877–92. http://dx.doi.org/10.3208/sandf.50.877.

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39

Keppens, R. "Numerical Magnetohydrodynamics." Fusion Science and Technology 53, no. 2T (2008): 135–43. http://dx.doi.org/10.13182/fst08-a1699.

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40

Seidel, Edward, and Wai-Mo Suen. "NUMERICAL RELATIVITY." International Journal of Modern Physics C 05, no. 02 (1994): 181–87. http://dx.doi.org/10.1142/s012918319400012x.

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The present status of numerical relativity is reviewed. There are five closely interconnected aspects of numerical relativity: (1) Formulation. The general covariant Einstein equations are reformulated in a way suitable for numerical study by separating the 4-dimensional spacetime into a 3-dimensional space evolving in time. (2) Techniques. A set of tools is developed for determining gauge choices, setting boundary and initial conditions, handling spacetime singularities, etc. As required by the special physical and mathematical properties of general relativity, such techniques are indispensab

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41

Gray, Jeremy. "Numerical concoctions." Nature 402, no. 6763 (1999): 724–25. http://dx.doi.org/10.1038/45378.

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42

Dubois, Paul F., Konrad Hinsen, and James Hugunin. "Numerical Python." Computers in Physics 10, no. 3 (1996): 262. http://dx.doi.org/10.1063/1.4822400.

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43

Burton, Ann. "Numerical value." Practical Pre-School 2007, no. 72 (2007): 5–6. http://dx.doi.org/10.12968/prps.2007.1.72.38615.

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44

Baker, Joanne. "Numerical reading." Nature 460, no. 7259 (2009): 1083. http://dx.doi.org/10.1038/4601083b.

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45

Price, Thomas McMurray. "Numerical cohomology." Algebraic Geometry 4, no. 2 (2017): 136–59. http://dx.doi.org/10.14231/ag-2017-007.

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46

Tribbey, Will. "Numerical Recipes." ACM SIGSOFT Software Engineering Notes 35, no. 6 (2010): 30–31. http://dx.doi.org/10.1145/1874391.187410.

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47

Hull, T. E., A. Abrham, M. S. Cohen, et al. "Numerical Turing." ACM SIGNUM Newsletter 20, no. 3 (1985): 26–34. http://dx.doi.org/10.1145/1057947.1057949.

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48

Pile, David. "Numerical solution." Nature Photonics 9, no. 1 (2014): 5–6. http://dx.doi.org/10.1038/nphoton.2014.305.

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49

Hubbuck, J. R. "Numerical Forms." Journal of the London Mathematical Society 55, no. 1 (1997): 65–75. http://dx.doi.org/10.1112/s0024610796004395.

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50

Rodi, W. "Numerical methods." Journal of Wind Engineering and Industrial Aerodynamics 69-71 (July 1997): 131–32. http://dx.doi.org/10.1016/s0167-6105(97)00227-4.

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