<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">WJM</journal-id><journal-title-group><journal-title>World Journal of Mechanics</journal-title></journal-title-group><issn pub-type="epub">2160-049X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/wjm.2019.912017</article-id><article-id pub-id-type="publisher-id">WJM-96814</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Engineering</subject><subject> Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  High Resolution Compact Finite Difference Schemes for Convection Dominated Problems
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdullah</surname><given-names>Shah</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Saher</surname><given-names>Akmal Khan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Najib</surname><given-names>Ullah</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Mathematics, COMSATS University Islamabad, Islamabad, Pakistan</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>12</month><year>2019</year></pub-date><volume>09</volume><issue>12</issue><fpage>259</fpage><lpage>266</lpage><history><date date-type="received"><day>21,</day>	<month>October</month>	<year>2019</year></date><date date-type="rev-recd"><day>29,</day>	<month>November</month>	<year>2019</year>	</date><date date-type="accepted"><day>2,</day>	<month>December</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  In this short article, the upwind and central compact finite difference schemes for spatial discretization of the first-order derivative are analyzed. Comparison of the schemes is provided and the best discretization scheme for convection dominated problems is suggested.
 
</p></abstract><kwd-group><kwd>Upwind Scheme</kwd><kwd> Upwind Compact Scheme</kwd><kwd> Flux-Difference Splitting</kwd><kwd> Convection Dominated Problems</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>With the ever-increasing interest in numerical calculations demanding high accuracy for a wide range of length scales, such as large-eddy simulation and direct numerical simulation of turbulence, high-order numerical methods are desired. Particularly, high-order finite difference, finite volume, and finite element methods have received more attention in handling complex problems. These high-order methods try to achieve high accuracy and avoid spurious oscillations and are usually characterized by their self-adaptive nature. The use of high-order methods is particularly warranted by the need to simulate flows containing discontinuous phenomena, such as fluid interfaces and steep shear layers. The compact high-order finite difference schemes provide an effective way of combining the robustness of finite difference schemes and the accuracy of spectral methods [<xref ref-type="bibr" rid="scirp.96814-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.96814-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.96814-ref3">3</xref>]. Generally, the computation of derivatives in compact finite differences is implicit in the sense that the derivative values at a particular node are computed not only from the function values but also from the values of the derivative at the neighboring nodes [<xref ref-type="bibr" rid="scirp.96814-ref4">4</xref>]. Compared to non-compact counterparts of the same order of accuracy, compact schemes utilize a smaller stencil, have smaller truncating errors, and give better resolution especially at higher wave numbers [<xref ref-type="bibr" rid="scirp.96814-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.96814-ref6">6</xref>]. Compact finite difference schemes can generally be classified into two broad categories: upwind and central. The upwind compact schemes inherently possess the needed dissipation to control the numerical instabilities. Fu and Ma [<xref ref-type="bibr" rid="scirp.96814-ref7">7</xref>] have developed some upwind compact schemes which are successfully implemented by Shah et al. [<xref ref-type="bibr" rid="scirp.96814-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.96814-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.96814-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.96814-ref11">11</xref>] for solving fluid flow problems. As these schemes possess appropriate dissipation to prevent non-physical oscillations, they seem to be suitable for solving the convection dominated problems. N.B. Ali et al. [<xref ref-type="bibr" rid="scirp.96814-ref12">12</xref>] used implicit and explicit third and fifth-order upwind compact schemes for solving the level set equation. De V. E. and Eswaran, V. [<xref ref-type="bibr" rid="scirp.96814-ref13">13</xref>] have studied some optimized upwind and upwind compact schemes for the solution of acoustic wave problem. Central compact schemes have the advantage of achieving high-order accuracy with fewer grid points in the stencil, but they are non-dissipative, and using central compact schemes on non-staggered meshes for convection terms might cause numerical oscillations even for flows without discontinuities. Reducing or removing such oscillations requires the introduction of dissipation terms or the use of filtering approach [<xref ref-type="bibr" rid="scirp.96814-ref14">14</xref>]. Resolution characteristics imply how compact finite difference approximation represents the exact result over the full range of length scales that can be realized for a given mesh [<xref ref-type="bibr" rid="scirp.96814-ref15">15</xref>]. This work aims to study different compact schemes to find the scheme more suitable for solving convection dominated problems.</p></sec><sec id="s2"><title>2. Model Problem</title><p>In order to examine approximating behaviors of various numerical schemes, the following linear convection equation (also known as one-way wave equation) is considered.</p><p>∂ u ∂ t + c ∂ u ∂ x = 0 , c &gt; 0. (1)</p><p>The semi discrete form Equation (1) is</p><p>∂ u j ∂ t + c ∂ u j ∂ x j = 0. (2)</p><p>The solution of Equation (1) represented by u ( x , t ) by a typical Fourier mode is given by:</p><p>u ( x , t ) = u ^ k ( t ) e i k x , (3)</p><p>u ^ k is the Fourier mode of the wave number k and i = − 1 , the exact spatial differentiation of Equation (3) is represented by;</p><p>u ′ = i ( k h ) u ^ k h e i k x , (4)</p><p>where the wave number is scaled by the grid size h = l n , where l is the length of</p><p>domain and n is the number of grids. By analogy the numerical approximation of the derivative is written as [<xref ref-type="bibr" rid="scirp.96814-ref13">13</xref>]</p><p>u ′ = k e q ( k h ) u ^ k h e i k x = ( k r ( k h ) + i ( k i ) k h ) u ^ k h e i k x . (5)</p><p>The exact solution of Equation (1) is u ( x , t ) = e i k ( x − c t ) , and the exact solution</p><p>of Equation (2) can be written as u ( x j , t ) = e − k r c t Δ x e i k ( x j − k i k Δ x c t ) , where the modified</p><p>wave number k e q = k r + i k i . k i is related to the phase speed in the numerical solution, and k r is related to the numerical damping of a difference scheme. Fourier analysis of different discretization schemes allows us to choose the best scheme.</p><sec id="s2_1"><title>2.1. Upwind Compact Scheme</title><p>In this subsection, third and fifth-order upwind compact and upwind explicit schemes are analyzed. For the third-order upwind compact scheme [<xref ref-type="bibr" rid="scirp.96814-ref16">16</xref>], we have</p><p>2 3 u j + 1 3 u j − 1 = u j + 1 + 4 u j − 5 u j − 1 6 , (6)</p><p>that satisfy the relation</p><p>u j = 1 6 e i α + 2 3 − 5 6 e − i α 2 3 + 1 3 e − i α u ^ ( t ) e i k x j = cos α + i sin α + 4 − 5 ( cos α − i sin α ) 4 + 2 ( cos α − i sin α ) u ^ ( t ) e i k x j = ( 1 − cos α ) 2 + i sin α ( 8 + cos α ) 5 + 4 cos α u ^ ( t ) e i k x j (7)</p><p>where</p><p>k r = ( 1 − cos α ) 2 5 + 4 cos α ,   k i = sin α ( 8 + cos α ) 5 + 4 cos α . (8)</p><p>Similarly, for the fifth-order upwind compact scheme [<xref ref-type="bibr" rid="scirp.96814-ref7">7</xref>], we have</p><p>3 5 u j + 2 5 u j − 1 = − u j + 2 + 12 u j + 1 + 36 u j − 44 u j − 1 − 3 u j − 2 60 , (9)</p><p>with</p><p>u j = − 1 60 e 2 i α + 12 60 e i α + 36 60 − 44 60 e − i α − 3 60 e − 2 i α 36 60 + 24 60 e − i α u ^ ( t ) e i k x j = 1 117 + 108 cos α ( 24 − 6 cos 3 α − 18 sin 2 α − 18 sin α     + i ( 6 sin 3 α + 45 sin α cos α + 180 sin α ) ) u ^ ( t ) e i k x j (10)</p><p>where</p><p>k r = 2 ( 1 − 3 cos α + 3 cos 2 α − cos 3 α ) 3 ( 13 + 12 cos α ) ,   k i = sin α ( 2 sin 2 α + 15 cos α + 60 ) 3 ( 13 + 12 cos α ) . (11)</p><p>For the explicit third-order upwind scheme [<xref ref-type="bibr" rid="scirp.96814-ref7">7</xref>],</p><p>k r = 1 6 ( 3 − 4 cos α + cos 2 α ) ,   k i = 1 6 ( 8 sin α − sin 2 α ) , (12)</p><p>and for the explicit fifth-order upwind scheme, we have,</p><p>k r = 10 − 15 cos α + 6 cos 2 α − cos 3 α 30 ,   k i = 45 sin α − 9 sin 2 α + sin 3 α 30 . (13)</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows variations of k r and k i with the reduced wave number α for the above four schemes. We can see the fifth-order schemes can approximate the exact damping ( k r E = 0 ) to higher waver numbers than the third-order schemes, and the compact schemes can approximate the exact dispersion relation ( k i E = α ) better than the non-compact schemes.</p><p><xref ref-type="table" rid="table1">Table 1</xref> gives the upper limit of the reduced wave number, which corresponds to a point in <xref ref-type="fig" rid="fig1">Figure 1</xref> where k r or k i begins to reach 2% errors relative to their exact solutions respectively. Larger upper limit implies fewer grid points are needed to resolve a given physical structure. For example, to approximate the exact wave speed within 2% error, the ratio of grid points needed by the 5th-order upwind compact scheme to those needed by the 5th-order upwind biased scheme is 1.25 / 1.71 = 0.73 in one dimensional case. In three-dimensional case, this ratio becomes ( 1.25 / 1.71 ) 3 = 0.39 , resulting in significant saving in computer resources.</p></sec><sec id="s2_2"><title>2.2. Central Compact Schemes</title><p>In this section, various compact finite difference schemes are studied. The family of cell centered central compact schemes given by Lele et al. [<xref ref-type="bibr" rid="scirp.96814-ref3">3</xref>] is given by:</p><p>ν u ′ i − 2 + μ u ′ i − 1 + u ′ i + μ u ′ i + 1 + ν u ′ i + 2 = c u i + 3 − u i − 3 6 h + c u i + 2 − u i − 2 4 h + c u i + 1 − u i − 1 2 h (14)</p><p>The order of these schemes can be based parameters values as shown in <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>Taking Fourier transform of Equation (14), we have</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Upper limits of the reduced wave number when k r and k i of the difference schemes first exceed 2% errors relative to exact solutions</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Scheme</th><th align="center" valign="middle"  colspan="2"  >Upper limits of wave number</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >k<sub>r</sub> &lt; 2%</td><td align="center" valign="middle" >| 1 − k i / α | &lt; 2 %</td></tr><tr><td align="center" valign="middle" >5th-order upwind compact</td><td align="center" valign="middle" >1.35</td><td align="center" valign="middle" >1.71</td></tr><tr><td align="center" valign="middle" >3rd-order upwind compact</td><td align="center" valign="middle" >0.91</td><td align="center" valign="middle" >1.61</td></tr><tr><td align="center" valign="middle" >5th-order upwind</td><td align="center" valign="middle" >1.08</td><td align="center" valign="middle" >1.25</td></tr><tr><td align="center" valign="middle" >3rd-order upwind</td><td align="center" valign="middle" >0.72</td><td align="center" valign="middle" >0.902</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Values of parameters involved for the central compact scheme</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Order of scheme</th><th align="center" valign="middle" >μ</th><th align="center" valign="middle" >v</th><th align="center" valign="middle" >a</th><th align="center" valign="middle" >b</th><th align="center" valign="middle" >c</th></tr></thead><tr><td align="center" valign="middle" >2nd order</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >4th order</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >4 3</td><td align="center" valign="middle" >1 3</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >6th order</td><td align="center" valign="middle" >1 3</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >14 9</td><td align="center" valign="middle" >1 9</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >8th order</td><td align="center" valign="middle" >4 9</td><td align="center" valign="middle" >1 36</td><td align="center" valign="middle" >40 27</td><td align="center" valign="middle" >25 54</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >10th order</td><td align="center" valign="middle" >1 2</td><td align="center" valign="middle" >1 20</td><td align="center" valign="middle" >17 20</td><td align="center" valign="middle" >191 150</td><td align="center" valign="middle" >1 100</td></tr></tbody></table></table-wrap><p>k i = a sin α + b 2 sin 2 α + c 3 sin 3 α 1 + 2 μ cos α + 2 ν cos 2 α ;     k r = 0. (15)</p><p>The different values of k i are given in <xref ref-type="table" rid="table3">Table 3</xref>.</p><p>The difference between modified wave number and exact wave number is very small, therefore these schemes have spectral like resolution. The comparison of various central compact schemes is presented in <xref ref-type="fig" rid="fig2">Figure 2</xref>. The eighth-order central compact scheme seems to follow the exact wave number more closely than all other central compact schemes, though it has a broader stencil width.</p></sec><sec id="s2_3"><title>2.3. Comparison of Upwind and Central Compact Scheme</title><p>In this subsection, the upwind and central compact schemes are compared based upon the resolution characteristics k i vs α . For this purpose, two upwind compact schemes and two central compact schemes are selected from the previous sections.</p><p>The comparison plot for k i vs α is shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>.</p><p>The comparison of the scheme enables us to find the scheme best suitable from the chosen schemes. <xref ref-type="fig" rid="fig3">Figure 3</xref> shows that the upwind compact schemes give the better resolution amongst all the schemes while central compact schemes have poor resolution. So in order to improve the resolution of central schemes, filtering is required.</p></sec></sec><sec id="s3"><title>3. Conclusion</title><p>We have analyzed upwind, upwind compact and central compact schemes of</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Values of parameters involved for the central compact scheme</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Order of scheme</th><th align="center" valign="middle" >k<sub>i</sub></th></tr></thead><tr><td align="center" valign="middle" >2nd order</td><td align="center" valign="middle" >sinα</td></tr><tr><td align="center" valign="middle" >4th order</td><td align="center" valign="middle" >8 sin α + sin 2 α 6</td></tr><tr><td align="center" valign="middle" >6th order</td><td align="center" valign="middle" >14 9 sin α + 1 18 sin 2 α 1 + 2 3 cos α</td></tr><tr><td align="center" valign="middle" >8th order</td><td align="center" valign="middle" >40 27 sin α + 25 108 sin 2 α 1 + 8 9 cos α + 1 18 cos α</td></tr><tr><td align="center" valign="middle" >10th order</td><td align="center" valign="middle" >17 12 sin α + 191 300 sin 2 α + 1 300 sin 3 α 1 + cos α + 1 10 cos 2 α</td></tr></tbody></table></table-wrap><p>different order accuracy for numerical investigation of convection equation. It is observed that the use of the upwind compact scheme makes the numerical solution more stable as compared with the central scheme and can be used for convection dominated problems. A comparison is also given with non-compact schemes of the same order of accuracy with almost the same computational cost.</p></sec><sec id="s4"><title>Acknowledgments</title><p>The work of Abdullah Shah is supported by HEC under NRPU No. 7781 and PSF No. 5651.</p></sec><sec id="s5"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s6"><title>Cite this paper</title><p>Shah, A., Khan, S.A. and Ullah, N. (2019) High Resolution Compact Finite Difference Schemes for Convection Dominated Problems. World Journal of Mechanics, 9, 259-266. https://doi.org/10.4236/wjm.2019.912017</p></sec></body><back><ref-list><title>References</title><ref id="scirp.96814-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Hirsh, R.S. (1975) High Order Accurate Difference Solutions of Fluid Mechanics Problems by a Compact Differencing Technique. Journal of Computational Physics, 19, 90-109. https://doi.org/10.1016/0021-9991(75)90118-7</mixed-citation></ref><ref id="scirp.96814-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Rubin, S.G. and Khosla, P.K. (1977) Polynomial Interpolation Methods for Viscous Flow Calculations. Journal of Computational Physics, 2, 217-244.https://doi.org/10.1016/0021-9991(77)90036-5</mixed-citation></ref><ref id="scirp.96814-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Lele, S.K. (1992) Compact Finite Difference Schemes with Spectral-Like Resolution. Journal of Computational Physics, 103, 16-42. https://doi.org/10.1016/0021-9991(92)90324-R</mixed-citation></ref><ref id="scirp.96814-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Sheng, T.Y. (1991) Runge-Kutta Methods Combined with Compact Difference Schemes for the Unsteady Euler Equations. Center for Modeling of Turbulence and Transition-Research Briefs, 93, 15802.</mixed-citation></ref><ref id="scirp.96814-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Zhou, Q., Yao, Z.F. and Shen, M.Y. (2007) A New Family of High-Order Compact Upwind Difference Schemes with Good Spectral Resolution. Journal of Computational Physics, 227, 1306-13391. https://doi.org/10.1016/j.jcp.2007.09.008</mixed-citation></ref><ref id="scirp.96814-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Shah, A., Yuan, L. and Islam, S. (2012) Numerical Solution of Unsteady Navier-Stokes Equations on Curvilinear Meshes. Journal of Computer and Mathematics with applications, 63, 1548-1556. https://doi.org/10.1016/j.camwa.2012.03.047</mixed-citation></ref><ref id="scirp.96814-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Fu, D.X. and Ma, Y.W. (1997) A High-Order Accurate Difference Scheme for Complex Flowfields. Journal of Computational Physics, 134, 1-5.https://doi.org/10.1006/jcph.1996.5492</mixed-citation></ref><ref id="scirp.96814-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Shah, A. and Yuan, L. (2010) Upwind Compact Finite Difference Scheme for Time-Dependent Incompressible Navier-Stokes Equations. Applied Mathematics and Computation, 215, 3201-3213. https://doi.org/10.1016/j.amc.2009.10.001</mixed-citation></ref><ref id="scirp.96814-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Rizwan, M., Shah, A. and Yuan, L. (2016) A Central Compact Scheme for Numerical Solution of Two-Phase Incompressible Flow Using Allen-Cahn Phase Field Model. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 38, 433-441. https://doi.org/10.1007/s40430-015-0342-4</mixed-citation></ref><ref id="scirp.96814-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Khan, S. and Shah, A. (2019) Simulation of the Two-Dimensional Rayleigh-Taylor Instability Problem by Using Diffuse-Interface Model. AIP Advances, 9, Article ID: 085312. https://doi.org/10.1063/1.5100791</mixed-citation></ref><ref id="scirp.96814-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Saeed, S., Shah, A. and Khan, S. (2018) Numerical Investigation of Bubbles Coalescence in a Shear Flow with Diffuse-Interface Model. Heliyon, 4, e01024.https://doi.org/10.1016/j.heliyon.2018.e01024</mixed-citation></ref><ref id="scirp.96814-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Borujerdi, A.N. and Kebriaee, A. (2003) Upwind Compact Implicit and Explicit High Order Finite Difference Scheme for Level Set Techniques. International Journal for Computational Methods in Engineering Science and Mechanics, 3, 308-318.</mixed-citation></ref><ref id="scirp.96814-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">De, A.K. and Eswaran, V. (2006) Analysis of a New High Resolution Upwind Compact Scheme. Journal of Computational Physics, 218, 398-416.https://doi.org/10.1016/j.jcp.2006.02.020</mixed-citation></ref><ref id="scirp.96814-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Gaitonde, D.V. and Visbal, M.R. (2000) Pade-Type Higher-Order Boundary Filters for the Navier Stokes Equations. AIAA Journal, 38, 2103-2112.</mixed-citation></ref><ref id="scirp.96814-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Liang, X., Zhang, S., Zhang, H. and Shu, C. (2013) A New Class of Central Compact Scheme with Spectral Like Resolution I. Linear Schemes. Journal of Computational Physics, 248, 235-256. https://doi.org/10.1016/j.jcp.2013.04.014</mixed-citation></ref><ref id="scirp.96814-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Shah, A. and Yuan, L. (2009) Flux-Difference Splitting Based Upwind Compact Scheme for the Incompressible Navier-Stokes Equations. International Journal for Computational Methods in Engineering Science and Mechanics, 61, 552-568.https://doi.org/10.1002/fld.1965</mixed-citation></ref></ref-list></back></article>