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Journal articles on the topic 'Numerical techniques'

To see the other types of publications on this topic, follow the link: Numerical techniques.

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Guralnik, G. S., J. Doll, R. Easther, P. Emirdaga, D. D. Ferrante, S. Hahn, D. Petrov, and D. Sabo. "Alternative numerical techniques." Nuclear Physics B - Proceedings Supplements 119 (May 2003): 950–52. http://dx.doi.org/10.1016/s0920-5632(03)01728-6.

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2

Caligaris, Marta Graciela. "Apps for Solving Engineering Problems Using Numerical Techniques." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 3 (October 15, 2017): 211–18. http://dx.doi.org/10.18844/prosoc.v4i3.2642.

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3

G, Srinivasa. "Algebraic Interpolating Polynomials of Theobromine Using Numerical Techniques." International Journal of Psychosocial Rehabilitation 24, no. 5 (May 25, 2020): 6926–29. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020691.

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4

Roll, Richard, and Simon Benninga. "Numerical Techniques in Finance." Journal of Finance 45, no. 4 (September 1990): 1347. http://dx.doi.org/10.2307/2328732.

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5

Davidson, Ian, and Simon Benninga. "Numerical Techniques in Finance." Economic Journal 101, no. 408 (September 1991): 1325. http://dx.doi.org/10.2307/2234463.

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6

Mehtre, Vishal V. "Interpolation Techniques in Numerical Computation." International Journal for Research in Applied Science and Engineering Technology 7, no. 11 (November 30, 2019): 672–74. http://dx.doi.org/10.22214/ijraset.2019.11108.

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7

Klonias, V. K., and Nash G. Stephen. "Numerical techniques in nonparametric estimation†." Journal of Statistical Computation and Simulation 28, no. 2 (August 1987): 97–126. http://dx.doi.org/10.1080/00949658708811020.

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8

Menken, M. J. J. "Numerical literary techniques in John." Novum Testamentum 27, no. 1 (1985): ii. http://dx.doi.org/10.1163/156853685x00409.

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9

Fenggan, Zhuang. "On numerical techniques in CFD." Acta Mechanica Sinica 16, no. 3 (August 2000): 193–216. http://dx.doi.org/10.1007/bf02487662.

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10

Nawaz, Yasir, and Muhammad Arif. "A new class of a-stable numerical techniques for odes: Application to boundary layer flow." Thermal Science, no. 00 (2020): 97. http://dx.doi.org/10.2298/tsci190926097n.

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The present attempt is made to propose a new class of numerical techniques for finding numerical solutions of ODEs. The proposed numerical techniques are based on interpolation of a polynomial. Currently constructed numerical techniques use the additional information(s) of derivative(s) on particular grid point(s). The advantage of the presently proposed numerical techniques is that these techniques are implemented in one step and can provide highly accurate solution and can be constructed on fewer amounts of grid points but has the disadvantage of finding derivative(s). It is to be noted that the high order techniques can be constructed using just two grid points. Presently proposed fourth-order technique is A-stable but not L-stable. The order and maximum absolute error are found for a fourth-order technique. The fourth-order technique is employed to solve the Darcy-Forchheimer fluid flow problem which is transformed further to a third-order nonlinear boundary value problem on the semi-infinite domain.

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11

Huang, Jun Qing, Wei Zhang, Xue Hui Yang, and Wen Yue Wang. "Techniques of Fragment Numerical Simulation of Armour-Piercing Warhead Penetrating Target Process Base on AUTODYN." Advanced Materials Research 466-467 (February 2012): 834–38. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.834.

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Needing to analyse fragment’s destructive effect for military researching purpose, it is produced after armour-piercing warhead penetrate target. How to reduce physical test expense and acquire believable researching result at the same time have been puzzled problems that must be solved as soon as possible. Discussing techniques of fragment produced in armour-piercing warhead penetration process with the way of numerical simulation based on AUTODYN, it is a program that analyses dynamics in this paper. Techniques mainly include the Lagrange, the SPH, the Lagrange combining with the SPH and the Lagrange combining with restriction invalidation, at the same time, analysed different technique’s merit and demerit by establishing the numeric simulation model of armour-piercing warhead destroying target and obtaining simulation result. By researching the technique of making numeric fragment, establishing favorable base for researching armour-piercing warhead destroying mechanism.

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12

Brown, Richard. "Numerical techniques for dynamic resistive networks." ANZIAM Journal 54 (May 21, 2013): 171. http://dx.doi.org/10.21914/anziamj.v54i0.6338.

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13

Sabtan, Abdullah. "Numerical techniques in reservoir capacity evaluation." Quarterly Journal of Engineering Geology and Hydrogeology 26, no. 3 (August 1993): 217–25. http://dx.doi.org/10.1144/gsl.qjegh.1993.026.003.07.

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14

Etter, Paul C. "Numerical modeling techniques in underwater acoustics." Journal of the Acoustical Society of America 82, S1 (November 1987): S102. http://dx.doi.org/10.1121/1.2024528.

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15

Walther, A. "Numerical techniques in eikonal function theory." Journal of the Optical Society of America A 5, no. 4 (April 1, 1988): 511. http://dx.doi.org/10.1364/josaa.5.000511.

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16

Durst, Franz. "Experimental and Numerical Techniques in Fluids." Journal of Pressure Vessel Technology 130, no. 1 (2008): 011304. http://dx.doi.org/10.1115/1.2826406.

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17

Eastman, Ronald G., and Philip A. Pinto. "Spectrum formation in supernovae - Numerical techniques." Astrophysical Journal 412 (August 1993): 731. http://dx.doi.org/10.1086/172957.

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18

Chenot, J. L., and F. Bay. "An overview of numerical modelling techniques." Journal of Materials Processing Technology 80-81 (August 1998): 8–15. http://dx.doi.org/10.1016/s0924-0136(98)00205-2.

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19

Chandraker, Vinay, Ashish Awasthi, and Simon Jayaraj. "Implicit numerical techniques for Fisher equation." Journal of Information and Optimization Sciences 39, no. 1 (November 10, 2017): 1–13. http://dx.doi.org/10.1080/02522667.2017.1374722.

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20

MATSUMOTO, Toshiro. "SOME NOVEL NUMERICAL TECHNIQUES USING RBF." Proceedings of The Computational Mechanics Conference 2002.15 (2002): 803–4. http://dx.doi.org/10.1299/jsmecmd.2002.15.803.

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21

Lory, Peter. "Simulation of integrated circuits: Numerical techniques." Mathematical and Computer Modelling 11 (1988): 858–63. http://dx.doi.org/10.1016/0895-7177(88)90615-2.

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22

Morel, P. "The Evolutionary Code Cesam: Numerical Techniques." International Astronomical Union Colloquium 137 (1993): 445–47. http://dx.doi.org/10.1017/s0252921100018200.

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AbstractCESAM is a consistent set of programs and routines designed for the calculations of stellar evolution. Untill now it allows the computation of the evolution from PMS or ZAMS to helium flash for stellar masses of some solar mass. It is constructed in such a way that all the physics works as external routines. The numerical techniques are based on the B-spline formalism. This formalism used both for the integration of the differential equations and for 1D and 2D interpolation schemes of various tables of physical data.

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23

Coleman, Tom. "Numerical Optimization Techniques (Yurij G. Evtushenko)." SIAM Review 29, no. 2 (June 1987): 309–10. http://dx.doi.org/10.1137/1029056.

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24

Kulhánek, P., and M. Smetana. "Visualization techniques in plasma numerical simulations." Czechoslovak Journal of Physics 54, S3 (March 2004): C123—C128. http://dx.doi.org/10.1007/bf03166390.

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25

Mukundan, Vijitha, and Ashish Awasthi. "Efficient numerical techniques for Burgers’ equation." Applied Mathematics and Computation 262 (July 2015): 282–97. http://dx.doi.org/10.1016/j.amc.2015.03.122.

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26

Anees, Mohd Talha, K. Abdullah, M. N. M. Nawawi, Nik Norulaini Nik Ab Rahman, Abd Rahni Mt Piah, Nor Azazi Zakaria, M. I. Syakir, and A. K. Mohd. Omar. "Numerical modeling techniques for flood analysis." Journal of African Earth Sciences 124 (December 2016): 478–86. http://dx.doi.org/10.1016/j.jafrearsci.2016.10.001.

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27

QURESHI, U. K., A. PIRZADA, I. A. BOZDAR, and M. MEMON. "Numerical Second Order Method of Numerical Techniques for Solving Nonlinear Equations." SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES 51, no. 04 (December 10, 2019): 729–32. http://dx.doi.org/10.26692/surj/2019.12.115.

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28

Schmeiser, Christian, Dirk Roose, Bart de Dier, and Alastair Spence. "Continuation and Bifurcations: Numerical Techniques and Applications." Mathematics of Computation 58, no. 198 (April 1992): 857. http://dx.doi.org/10.2307/2153225.

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29

Hassan, S., F. Thalouth, and A. Abo El-Ela. "Numerical Techniques for Load Flow Studies.(Dept.E)." MEJ. Mansoura Engineering Journal 5, no. 1 (July 7, 2021): 72–86. http://dx.doi.org/10.21608/bfemu.2021.182455.

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30

Chang, Hai-Ru, and Hampton N. Shirer. "Compact Spatial Differencing Techniques in Numerical Modeling." Monthly Weather Review 113, no. 4 (April 1985): 409–23. http://dx.doi.org/10.1175/1520-0493(1985)113<0409:csdtin>2.0.co;2.

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31

Schilders, W. H. A. "ADVANCED NUMERICAL TECHNIQUES IN SEMICONDUCTOR DEVICE SIMULATION." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 10, no. 4 (April 1991): 439–48. http://dx.doi.org/10.1108/eb051719.

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32

Sheng, Yuanjing, and Robert Y. Liang. "Wave Equation Parameters from Numerical Simulation Techniques." Soils and Foundations 34, no. 2 (June 1994): 61–71. http://dx.doi.org/10.3208/sandf1972.34.2_61.

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33

Rubinacci, G., A. Tamburrino, and S. Ventre. "Fast numerical techniques for electromagnetic nondestructive evaluation." Nondestructive Testing and Evaluation 24, no. 1-2 (March 2009): 165–94. http://dx.doi.org/10.1080/10589750802195568.

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34

Hartmann, D., and K. Lehner. "Non-numerical modeling techniques in structural optimization." Structural Optimization 4, no. 3-4 (September 1992): 172–78. http://dx.doi.org/10.1007/bf01742740.

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35

Della Torre, Edward, and György Kádár. "Numerical techniques applied to magnetic recording (invited)." Mathematical and Computer Modelling 11 (1988): 186–91. http://dx.doi.org/10.1016/0895-7177(88)90477-3.

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36

Liao, Shi-Jun. "A challenging nonlinear problem for numerical techniques." Journal of Computational and Applied Mathematics 181, no. 2 (September 2005): 467–72. http://dx.doi.org/10.1016/j.cam.2004.11.039.

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37

Grier, Benjamin, Edward Alyanak, Michael White, José Camberos, and Richard Figliola. "Numerical integration techniques for discontinuous manufactured solutions." Journal of Computational Physics 278 (December 2014): 193–203. http://dx.doi.org/10.1016/j.jcp.2014.08.031.

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38

Durante, Tiziana, Gerardo Durazzo, and Annarita Trischitta. "Teaching interpolation techniques with a numerical tool." International Journal of Knowledge and Learning 4, no. 2/3 (2008): 127. http://dx.doi.org/10.1504/ijkl.2008.020650.

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39

Herdrich, G., M. Fertig, D. Petkow, A. Steinbeck, and S. Fasoulas. "Experimental and numerical techniques to assess catalysis." Progress in Aerospace Sciences 48-49 (January 2012): 27–41. http://dx.doi.org/10.1016/j.paerosci.2011.06.007.

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40

Lenglet, Eve, Anne-Christine Hladky-Hennion, and Jean-Claude Debus. "Numerical homogenization techniques applied to piezoelectric composites." Journal of the Acoustical Society of America 113, no. 2 (February 2003): 826–33. http://dx.doi.org/10.1121/1.1537710.

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41

WILLIAMSON, M. "Techniques for Ecologists: Developments in Numerical Ecology." Science 240, no. 4854 (May 13, 1988): 932–33. http://dx.doi.org/10.1126/science.240.4854.932-a.

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42

Pérez‐Jordá, José M., Axel D. Becke, and Emilio San‐Fabián. "Automatic numerical integration techniques for polyatomic molecules." Journal of Chemical Physics 100, no. 9 (May 1994): 6520–34. http://dx.doi.org/10.1063/1.467061.

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43

Kearsley, A. H. W. "Mathematical and Numerical Techniques in Physical Geodesy." Earth-Science Reviews 25, no. 4 (October 1988): 322–23. http://dx.doi.org/10.1016/0012-8252(88)90082-7.

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44

Hackbusch, Wolfgang. "Numerical Tensor Techniques for Multidimensional Convolution Products." Vietnam Journal of Mathematics 47, no. 1 (September 5, 2018): 69–92. http://dx.doi.org/10.1007/s10013-018-0300-4.

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45

Vallet, M. G., C. M. Manole, J. Dompierre, S. Dufour, and F. Guibault. "Numerical comparison of some Hessian recovery techniques." International Journal for Numerical Methods in Engineering 72, no. 8 (2007): 987–1007. http://dx.doi.org/10.1002/nme.2036.

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46

Farrell, Paul A., Alan F. Hegarty, John J. H. Miller, Eugene O'Riordan, and Grigorii I. Shishkin. "Numerical techniques for flow problems with singularities." International Journal for Numerical Methods in Fluids 43, no. 8 (2003): 915–36. http://dx.doi.org/10.1002/fld.536.

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47

LI, ZHIPING. "ROTATIONAL TRANSFORMATION METHOD AND SOME NUMERICAL TECHNIQUES FOR COMPUTING MICROSTRUCTURES." Mathematical Models and Methods in Applied Sciences 08, no. 06 (September 1998): 985–1002. http://dx.doi.org/10.1142/s0218202598000445.

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A rotational transformation method and an incremental crystallization method are developed to overcome some of the difficulties involved in the computation of microstructures. The numerical method based on these techniques has proved to be convergent. To increase further the accuracy of the computation, a technique is applied to remove the boundary effect of the numerical solutions. Numerical results for a double well problem are given to show the efficiency of the techniques.

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48

Rafiq, Muhammad, Nauman Ahmed, Mudassar Rafique, and Muhammad Ozair Ahmad. "A Reliable Numerical Analysis of Transmission Dynamics of Chicken Pox (Varicella Zoster Virus)." Scientific Inquiry and Review 4, no. 4 (December 31, 2020): 31–45. http://dx.doi.org/10.32350/sir/2020/44/1050.

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Solutions generated through numerical techniques are great in solving real-world problems. This manuscript deals with the numerical approximation of the epidemic system, describing the transmission dynamics of the Vercilla Zoster Virus (VZV) through the impact of vaccination. To discretize the continuous dynamical system, we proposed a novel numerical technique that preserves the true dynamics of the VZV epidemic model. The proposed technique is established in such a manner that it sustains all necessary physical traits depicted by the epidemic model under study. The designed technique is named a nonstandard finite difference (NSFD) scheme. Theoretical analysis of the designed NSFD technique is presented which describes its strength over the standard numerical procedures which are already being used for such purposes. The graphical solutions of all the numerical techniques are presented which verify the efficacy of the proposed NSFDS technique.

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49

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 (December 15, 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 method to eliminate undesired oscillations. Proposed model decreases numerical errors significantly compared to previously developed techniques. Moreover, numerical results of presented model quite close to the analytical solution. Finally, all Matlab codes of numerical and analytical solutions for convection-diffusion equation are added to Appendix in order to facilitate other researchers’ work.

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50

Mao, Yong Jian, Han Jun Huang, and Yi Xia Yan. "Numerical Techniques for Predicting Pyroshock Responses of Aerospace Structures." Advanced Materials Research 108-111 (May 2010): 1043–48. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.1043.

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Pyroshock responses of aerospace structures/systems are significantly important for design and valuation of space systems because it is a harsh environment for the systems, especially the electrical components. But the designers strongly rely on tests because, up to now, there have not been effective analytical and even numerical techniques for this problem. Fortunately, a number of researchers have been making efforts to build numerical techniques for structural responses prediction under this kind of special dynamic environments. This paper presents the techniques of time-history analysis, response spectrum analysis, statistical energy analysis and a synthetic technique composed of hydrocode analysis, time-domain finite element analysis (FEA) and statistical energy analysis. Further work and development trends are discussed in the end.

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