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Articoli di riviste sul tema "Numerical analysis"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 12 ottobre 2024

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1

H, Girija Bai. "Numerical Analysis of Aneurysm in Artery". International Journal of Psychosocial Rehabilitation 24, n. 4 (28 febbraio 2020): 4975–81. http://dx.doi.org/10.37200/ijpr/v24i4/pr201597.

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2

Song, Daegene. "Numerical Analysis in Entanglement Swapping Protocols". NeuroQuantology 20, n. 2 (1 aprile 2022): 153–57. http://dx.doi.org/10.14704/nq.2022.20.2.nq22083.

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Abstract (sommario):

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 discuss the numerical approach in showing the existence of states that provide a result close to the optimal outcome, which may be useful in realizing the long-distance entanglement used in quantum technology.

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3

Rannacher, Rolf. "Numerical analysis of the Navier-Stokes equations". Applications of Mathematics 38, n. 4 (1993): 361–80. http://dx.doi.org/10.21136/am.1993.104560.

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4

Perumal, Logah, C. P. Tso e Lim Thong Leng. "Novel Polyhedral Finite Elements for Numerical Analysis". International Journal of Computer and Electrical Engineering 9, n. 2 (2017): 492–501. http://dx.doi.org/10.17706/ijcee.2017.9.2.492-501.

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5

Ellerby, F. B., I. Jacques e C. Judd. "Numerical Analysis". Mathematical Gazette 72, n. 460 (giugno 1988): 156. http://dx.doi.org/10.2307/3618958.

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6

Jackson, I. R. H., e Bill Dalton. "Numerical Analysis". Mathematical Gazette 76, n. 476 (luglio 1992): 307. http://dx.doi.org/10.2307/3619167.

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7

Mudge, Michael Richard, e Peter R. Turner. "Numerical Analysis". Mathematical Gazette 81, n. 491 (luglio 1997): 342. http://dx.doi.org/10.2307/3619249.

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8

Strawderman, William E., e Rainer Kress. "Numerical Analysis". Journal of the American Statistical Association 95, n. 449 (marzo 2000): 348. http://dx.doi.org/10.2307/2669585.

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9

Brezinski, C. "Numerical analysis". Mathematics and Computers in Simulation 31, n. 6 (febbraio 1990): 596. http://dx.doi.org/10.1016/0378-4754(90)90072-q.

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10

Clarke, G. M., R. L. Burden e J. D. Faires. "Numerical Analysis." Statistician 41, n. 1 (1992): 128. http://dx.doi.org/10.2307/2348648.

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11

G., W., e David F. Griffiths. "Numerical Analysis." Mathematics of Computation 46, n. 174 (aprile 1986): 767. http://dx.doi.org/10.2307/2008021.

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12

G., W., e David F. Griffiths. "Numerical Analysis." Mathematics of Computation 45, n. 171 (luglio 1985): 274. http://dx.doi.org/10.2307/2008070.

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13

G., W., D. F. Griffiths e G. A. Watson. "Numerical Analysis." Mathematics of Computation 49, n. 179 (luglio 1987): 307. http://dx.doi.org/10.2307/2008271.

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14

Atkinson, Kendall. "Numerical analysis". Scholarpedia 2, n. 8 (2007): 3163. http://dx.doi.org/10.4249/scholarpedia.3163.

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15

Brandimarte, Paolo. "Numerical analysis". Wiley Interdisciplinary Reviews: Computational Statistics 3, n. 5 (18 aprile 2011): 434–49. http://dx.doi.org/10.1002/wics.172.

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16

Marek, Ivo. "International Symposium on Numerical Analysis ISNA'92. Preface". Applications of Mathematics 38, n. 4 (1993): 241–42. http://dx.doi.org/10.21136/am.1993.104551.

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17

Shah, Mr Ronak S., e Prof D. A. Warke. "Numerical Analysis of Friction Stir Welding for AA6061 by Finite Element Analysis". International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (28 febbraio 2018): 408–17. http://dx.doi.org/10.31142/ijtsrd9430.

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18

I., E., Curtis F. Gerald e Patrick O. Wheatley. "Applied Numerical Analysis." Mathematics of Computation 44, n. 169 (gennaio 1985): 279. http://dx.doi.org/10.2307/2007813.

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19

Mudge, Michael Richard, e Gwynne A. Evans. "Practical Numerical Analysis". Mathematical Gazette 81, n. 491 (luglio 1997): 343. http://dx.doi.org/10.2307/3619250.

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20

G., W., e Kendall Atkinson. "Elementary Numerical Analysis." Mathematics of Computation 62, n. 205 (gennaio 1994): 434. http://dx.doi.org/10.2307/2153423.

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21

Watson, Layne T., Michael Bartholomew-Biggs e John Ford. "Numerical Analysis 2000". Journal of Computational and Applied Mathematics 124, n. 1-2 (dicembre 2000): ix—x. http://dx.doi.org/10.1016/s0377-0427(00)00416-7.

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22

Baker, Christopher, Manchester, Giovanni Monegato, Turin, John Pryce, Shrivenham, Guido Vanden Berghe e Gent. "Numerical Analysis 2000". Journal of Computational and Applied Mathematics 125, n. 1-2 (dicembre 2000): xi—xviii. http://dx.doi.org/10.1016/s0377-0427(00)00454-4.

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23

Charafi, A. "Applied numerical analysis". Engineering Analysis with Boundary Elements 10, n. 1 (gennaio 1992): 89–90. http://dx.doi.org/10.1016/0955-7997(92)90089-p.

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24

W., L. B., e Colin W. Crye. "Numerical Functional Analysis." Mathematics of Computation 45, n. 171 (luglio 1985): 270. http://dx.doi.org/10.2307/2008066.

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25

Minkoff, M., e Kendall Atkinson. "Elementary Numerical Analysis." Mathematics of Computation 47, n. 176 (ottobre 1986): 749. http://dx.doi.org/10.2307/2008188.

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26

Adomaitis, Raymond A., e Ali Çinar. "Numerical singularity analysis". Chemical Engineering Science 46, n. 4 (1991): 1055–62. http://dx.doi.org/10.1016/0009-2509(91)85098-i.

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27

Vieru, Dumitru, Constantin Fetecau, Nehad Ali Shah e Jae Dong Chung. "Numerical Approaches of the Generalized Time-Fractional Burgers’ Equation with Time-Variable Coefficients". Journal of Function Spaces 2021 (8 dicembre 2021): 1–14. http://dx.doi.org/10.1155/2021/8803182.

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Abstract (sommario):

The generalized time-fractional, one-dimensional, nonlinear Burgers equation with time-variable coefficients is numerically investigated. The classical Burgers equation is generalized by considering the generalized Atangana-Baleanu time-fractional derivative. The studied model contains as particular cases the Burgers equation with Atangana-Baleanu, Caputo-Fabrizio, and Caputo time-fractional derivatives. A numerical scheme, based on the finite-difference approximations and some integral representations of the two-parameter Mittag-Leffler functions, has been developed. Numerical solutions of a particular problem with initial and boundary values are determined by employing the proposed method. The numerical results are plotted to compare solutions corresponding to the problems with time-fractional derivatives with different kernels.

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28

Ouyanga, Kwan, Reui-Kuo Lina, Sheng-Ju Wu e Wen-Hann Sheu. "The Numerical Analysis of Flow Field on Warship Deck". International Journal of Engineering Research 4, n. 3 (1 marzo 2015): 118–22. http://dx.doi.org/10.17950/ijer/v4s3/307.

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29

C N, Jayapragasan, e Dr K. Janardhan Reddy. "Numerical Analysis and Experimental Verification of an Industrial Cleaner". International Journal of Engineering Research 4, n. 4 (1 aprile 2015): 216–21. http://dx.doi.org/10.17950/ijer/v4s4/411.

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30

M.L., Pavan Kishore. "Numerical Study Free Vibration Analysis of Thin Rectangular Plates". Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (30 luglio 2020): 351–60. http://dx.doi.org/10.5373/jardcs/v12sp8/20202533.

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31

JITARAȘU, Octavian. "HYBRID COMPOSITE MATERIALS FOR BALLISTIC PROTECTION. A NUMERICAL ANALYSIS". Review of the Air Force Academy 17, n. 2 (16 dicembre 2019): 47–56. http://dx.doi.org/10.19062/1842-9238.2019.17.2.6.

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32

Song, Daegene. "Data Analysis in an Entanglement Network Using Numerical Methods". NeuroQuantology 20, n. 2 (1 aprile 2022): 158–64. http://dx.doi.org/10.14704/nq.2022.20.2.nq22084.

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Abstract (sommario):

While the foundation of quantum theory has been debated, its pragmatism has made it enormously productive. Establishing secret keys over long distances has been realized in the real world. Once considered only a hype, quantum computers have also been implemented in laboratories and are performing computations that are superior to their classical counterparts. In this paper, building on previous work, three 2-level entangled states are studied. In particular, the extensive range of states that yield the near-optimal result when entanglement swapping is applied at joints is numerically examined. This result is useful in establishing long-distance maximally entangled states, which are often preferred to short, non-maximal ones when used in applications. The precise nature of physical reality has been debated ever since the birth of quantum theory about a century ago. In this paper, reality is described not only in its physical aspects, but also as it pertains to consciousness. This physical reality in the context of mind is discussed using various examples, including entanglement and the Chinese room argument.

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33

Jalaluddin e Akio Miyara. "A214 Numerical analysis of GHE Performance in Different Conditions". Proceedings of the Thermal Engineering Conference 2012 (2012): 331–32. http://dx.doi.org/10.1299/jsmeted.2012.331.

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34

Panday, K. M., P. L. Choudhury e N. P. Kumar. "Numerical Unsteady Analysis of Thin Film Lubricated Journal Bearing". International Journal of Engineering and Technology 4, n. 2 (2012): 185–91. http://dx.doi.org/10.7763/ijet.2012.v4.346.

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35

Alomari, Mohammad W., Satyajit Sahoo e Mojtaba Bakherad. "Further numerical radius inequalities". Journal of Mathematical Inequalities, n. 1 (2022): 307–26. http://dx.doi.org/10.7153/jmi-2022-16-22.

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36

Wang, Yinkun, Jianshu Luo e Xiangling Chen. "Analysis of Numerical Measure and Numerical Integration Based on Measure". Abstract and Applied Analysis 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/474089.

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Abstract (sommario):

We present a convergence analysis for a general numerical method to estimate measure function. By combining Lagrange interpolation, we propose a specific method for approximating the measure function and analyze the convergence order. Further, we analyze the error bound of numerical measure integration and prove that the numerical measure integration can decrease the singularity for singular integrals. Numerical examples are presented to confirm the theoretical results.

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37

Alessa, Nazek. "Transformation Magnetohydrodynamics in Presence of a Channel Filled with Porous Medium and Heat Transfer of Non-Newtonian Fluid by Using Lie Group Transformations". Journal of Function Spaces 2020 (22 ottobre 2020): 1–6. http://dx.doi.org/10.1155/2020/8840287.

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In this paper, the numerical results are presented by using Lie group transformations, to be more efficient and sophisticated. To solve various fluid dynamic problems numerically, we present the numerical results in a field of velocity and distribution of temperature for different parameters regarding the problem of radiative heat, a magnetohydrodynamics, and non-Newtonian viscoelasticity for the unstable flow of optically thin fluid inside a channel filled with nonuniform wall temperature and saturated porous medium, including Hartmann number, porous medium and frequency parameter, and radiation parameter, with a comparison of the corresponding flow problems for a Newtonian fluid. Moreover, the effects of the pertinent parameters on the friction coefficient of skin and local Nusselt number were discussed numerically and also illustrate that graphically.

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38

Bo, Yu, Dan Tian, Xiao Liu e Yuanfeng Jin. "Discrete Maximum Principle and Energy Stability of the Compact Difference Scheme for Two-Dimensional Allen-Cahn Equation". Journal of Function Spaces 2022 (10 febbraio 2022): 1–15. http://dx.doi.org/10.1155/2022/8522231.

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The Allen-Cahn model is discussed mainly in the phase field simulation. The compact difference method will be used to numerically approximate the two-dimensional nonlinear Allen-Cahn equation with initial and boundary value conditions, and then, a fully discrete compact difference scheme with second-order accuracy in time and fourth-order in space is established. And its numerical solution satisfies the discrete maximum principle under the constraints of reasonable space and time steps. On this basis, the energy stability of the scheme is investigated. Finally, numerical examples are given to illustrate the theoretical results.

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39

Kadir Aziz, A., Donald A. French, Soren Jensen e R. Bruce Kellogg. "Origins, analysis, numerical analysis, and numerical approximation of a forward-backward parabolic problem". ESAIM: Mathematical Modelling and Numerical Analysis 33, n. 5 (settembre 1999): 895–922. http://dx.doi.org/10.1051/m2an:1999125.

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40

Mudge, Michael R., e Gilbert W. Stewart. "Afternotes on Numerical Analysis". Mathematical Gazette 81, n. 490 (marzo 1997): 188. http://dx.doi.org/10.2307/3618833.

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41

Mudge, Michael R., e Walter Gautschi. "Numerical Analysis: An Introduction". Mathematical Gazette 83, n. 497 (luglio 1999): 372. http://dx.doi.org/10.2307/3619117.

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42

S., F., Lars Elden e Linde Wittmeyer-Koch. "Numerical Analysis: An Introduction." Mathematics of Computation 57, n. 196 (ottobre 1991): 870. http://dx.doi.org/10.2307/2938725.

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43

Buhmann, Martin, J. Stoer e R. Bulirsch. "Introduction to Numerical Analysis". Mathematical Gazette 79, n. 484 (marzo 1995): 243. http://dx.doi.org/10.2307/3620125.

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44

I., E., James L. Buchanan e Peter R. Turner. "Numerical Methods and Analysis." Mathematics of Computation 60, n. 202 (aprile 1993): 848. http://dx.doi.org/10.2307/2153126.

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45

Froberg, Carl-Erik, J. Stoer, R. Bulirsch, R. Bartels, W. Gautschi e C. Witzgall. "Introduction to Numerical Analysis." Mathematics of Computation 63, n. 207 (luglio 1994): 421. http://dx.doi.org/10.2307/2153586.

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46

Lenth, Russell V., e G. W. Stewart. "Afternotes on Numerical Analysis". Journal of the American Statistical Association 94, n. 446 (giugno 1999): 656. http://dx.doi.org/10.2307/2670199.

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47

Albrecht, Andreas, Robert H. Brandenberger e Richard A. Matzner. "Numerical analysis of inflation". Physical Review D 32, n. 6 (15 settembre 1985): 1280–89. http://dx.doi.org/10.1103/physrevd.32.1280.

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48

Sullivan, F. "Is Numerical Analysis Boring?" Computing in Science & Engineering 8, n. 6 (2006): 104. http://dx.doi.org/10.1109/mcse.2006.114.

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49

Zelterman, Daniel. "Numerical Analysis for Statisticians". Technometrics 42, n. 3 (agosto 2000): 322. http://dx.doi.org/10.1080/00401706.2000.10486074.

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50

Puls, R. J., e K. W. Heizer. "Pulse wave numerical analysis". Medical Hypotheses 46, n. 3 (marzo 1996): 276–80. http://dx.doi.org/10.1016/s0306-9877(96)90255-8.

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