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Fix variable name
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beutlich committed May 1, 2022
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18 changes: 9 additions & 9 deletions ModelicaReference/package.mo
Expand Up @@ -4815,7 +4815,7 @@ flow in fluid systems, such as</em>
H_flow = <strong>semiLinear</strong>(m_flow, port.h, h);
</pre></blockquote>
<p>
<em> i.e., the enthalpy flow rate H _flow is computed from the mass flow
<em> i.e., the enthalpy flow rate H_flow is computed from the mass flow
rate m_flow and the upstream specific enthalpy depending on the
flow direction.]</em>
</p>
Expand Down Expand Up @@ -5013,7 +5013,7 @@ The operator <strong>spatialDistribution</strong> allows the infinite-dimensiona
<blockquote>
<img src=\"modelica://ModelicaReference/Resources/Images/spatialdistribution.png\"
alt=\"spatialdistribution.png\">
</blockquote>
</blockquote>
where <code>z(x, t)</code> is the transported quantity, <code>x</code> is the
normalized spatial coordinate (0.0 &le; <code>x</code> &le; 1.0), <code>t</code> is the
time, <code>v(t)</code> = <code>der(x)</code> is the normalized
Expand All @@ -5024,22 +5024,22 @@ transport velocity and the boundary conditions are set at either
<blockquote><pre>
(out0, out1) = <strong>spatialDistribution</strong>(in0, in1, x, positiveVelocity,
initialPoints = {0.0, 1.0},
initialValues = {0.0, 0.0});
initialValues = {0.0, 0.0});
</pre></blockquote>
<h4>Description</h4>
<p>
Many applications involve the modelling of variable-speed transport of properties.
One option to model this infinite-dimensional system is to approximate it by an ODE,
but this requires a large number of state variables and might introduce either
numerical diffusion or numerical oscillations. Another option is to use a built-in
Many applications involve the modelling of variable-speed transport of properties.
One option to model this infinite-dimensional system is to approximate it by an ODE,
but this requires a large number of state variables and might introduce either
numerical diffusion or numerical oscillations. Another option is to use a built-in
operator that keeps track of the spatial distribution of <code>z⁢(x,t)</code>,
by suitable sampling, interpolation, and shifting of the stored distribution.
by suitable sampling, interpolation, and shifting of the stored distribution.
In this case, the internal state of the operator is hidden from the ODE solver.
</p>

<p>
See <a href=\"https://specification.modelica.org/maint/3.4/Ch3.html#spatialdistribution\">
Section 3.7.2.2 of the Modelica Language Specification 3.4</a> for a more in-depth description
Section 3.7.2.2 of the Modelica Language Specification 3.4</a> for a more in-depth description
and elaborate example.
</p>
</html>"));
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