A Proper-Orthogonal Decomposition Variational Multiscale Approximation Method for a Generalized Oseen Problem

<table>(a) Horizontal component of <svg height="11.85" id="M385" style="vertical-align:-0.1911pt" version="1.1" viewbox="0 0 9.5749998 11.85" width="9.5749998" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,11.55)"><path d="M17 676h194v-259q53 56 122 56q82 0 135 -65t53 -169q0 -113 -63 -183t-163 -70q-71 0 -132 57l-79 -56h-12v607q0 30 -10 40.5t-45 17.5v24zM211 360v-263q0 -36 19 -57.5t50 -21.5q94 0 94 203q0 198 -93 198q-47 0 -70 -59z" id="x1D41B"></path></g>
</svg> in Experiment <a href="https://static.hindawi.com/articles/ana/volume-2013/974284/figures/#expe3">3</a>. (b) Vertical component of <svg height="11.85" id="M386" style="vertical-align:-0.1911pt" version="1.1" viewbox="0 0 9.5749998 11.85" width="9.5749998" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,11.55)"><path d="M17 676h194v-259q53 56 122 56q82 0 135 -65t53 -169q0 -113 -63 -183t-163 -70q-71 0 -132 57l-79 -56h-12v607q0 30 -10 40.5t-45 17.5v24zM211 360v-263q0 -36 19 -57.5t50 -21.5q94 0 94 203q0 198 -93 198q-47 0 -70 -59z" id="x1D41B"></path></g>
</svg> in Experiment <a href="https://static.hindawi.com/articles/ana/volume-2013/974284/figures/#expe3">3</a>.</table>

Advances in Numerical Analysis

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Figure 2

Figure 2: A Proper-Orthogonal Decomposition Variational Multiscale Approximation Method for a Generalized Oseen Problem 