﻿<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<?application progid="SMath Solver" version="1.3.0.9126"?>
<worksheet xmlns="http://smath.info/schemas/worksheet/1.0">
  <settings ppi="120">
    <identity>
      <id>785d1f14-deb8-40de-987f-04c106ed7a2a</id>
      <revision>19</revision>
    </identity>
    <metadata lang="eng">
      <author>RegRetired</author>
    </metadata>
    <calculation>
      <precision>4</precision>
      <exponentialThreshold>5</exponentialThreshold>
      <trailingZeros>false</trailingZeros>
      <significantDigitsMode>false</significantDigitsMode>
      <mixedNumbers>false</mixedNumbers>
      <roundingMode>0</roundingMode>
      <approximateEqualAccuracy>3</approximateEqualAccuracy>
      <fractions>decimal</fractions>
    </calculation>
    <pageModel active="false" viewMode="2" printGrid="false" printAreas="true" simpleEqualsOnly="false" printBackgroundImages="true" hideElementsHighlightings="true">
      <paper id="3" orientation="Portrait" width="1100" height="1700" />
      <margins left="39" right="39" top="49" bottom="49" />
      <header alignment="Center" color="#a9a9a9">&amp;[DATE] &amp;[TIME] - &amp;[FILENAME]</header>
      <footer alignment="Center" color="#a9a9a9">&amp;[PAGENUM] / &amp;[COUNT]</footer>
      <backgrounds />
    </pageModel>
    <dependencies>
      <assembly name="SMath Core" version="1.73.9126.0" guid="a37cba83-b69c-4c71-9992-55ff666763bd" />
      <assembly name="MathRegion" version="1.73.9126.0" guid="02f1ab51-215b-466e-a74d-5d8b1cf85e8d" />
      <assembly name="PictureRegion" version="1.73.9126.0" guid="06b5df04-393e-4be7-9107-305196fcb861" />
      <assembly name="SpecialFunctions" version="1.73.9126.0" guid="2814e667-4e12-48b1-8d51-194e480eabc5" />
      <assembly name="TextRegion" version="1.73.9126.0" guid="485d28c5-349a-48b6-93be-12a35a1c1e39" />
      <assembly name="X-Y Plot Region (JXCharts)" version="0.3.9106.25707" guid="c12231ec-4873-43c1-a7d0-a167ebd17066" />
      <assembly name="Mathcad Toolbox" version="0.5.9130.35983" guid="ddc09821-49f1-4c21-a829-6499de0a8f06" />
    </dependencies>
  </settings>
  <regions type="content">
    <region left="162" top="18" width="518" height="52" border="true" color="#804040" bgColor="#ffff80" fontSize="14">
      <text lang="eng" fontFamily="Arial" fontSize="10">
        <content>
          <p>
            <span style="font-size: 14px; font-weight: bold; color: #804040; background-color: #ffff80;">EXAMPLE PROBLEM FROM Smath for Physics, A primer</span>
            <span />
            <br />
            <span style="font-size: 14px; font-weight: bold; color: #804040; background-color: #ffff80;">Section 7.4, Pages \[REGION[8cf0c2c6732746b8961905a73c7dd4e2]]\                                               </span>
            <span />
          </p>
        </content>
        <regions>
          <region id="8cf0c2c6732746b8961905a73c7dd4e2" left="171" top="21" width="98" height="30" color="#804040" bgColor="#ffff80" fontSize="14">
            <math>
              <input>
                <e type="operand">117</e>
                <e type="operand">118</e>
                <e type="operator" args="2">-</e>
              </input>
            </math>
          </region>
        </regions>
      </text>
    </region>
    <region left="630" top="117" width="121" height="23" border="true" color="#804040" bgColor="#ffff80" fontSize="10">
      <text lang="eng" fontFamily="Arial" fontSize="10">
        <content>
          <p style="font-weight: bold; background-color: #ffff80;">FROM PAGE 117</p>
        </content>
      </text>
    </region>
    <region left="36" top="135" width="419" height="119" color="#804040" bgColor="#ffffff" fontSize="10">
      <mathcadblock width="409" height="111" seqop="sys">
        <input>
          <e type="operand">ANS</e>
          <e type="operand">t</e>
          <e type="function" args="1">Ia</e>
          <e type="operand">t</e>
          <e type="function" args="1">Ib</e>
          <e type="operand">2</e>
          <e type="operand">1</e>
          <e type="function" args="4">sys</e>
          <e type="operand">0.5</e>
          <e type="operand">5</e>
          <e type="function" args="3">Rkadapt</e>
          <e type="operator" args="2">:</e>
        </input>
      </mathcadblock>
    </region>
    <region left="63" top="144" width="251" height="26" color="#804040" fontSize="10">
      <math>
        <input>
          <e type="operand">t</e>
          <e type="function" args="1">Ia'</e>
          <e type="operand">4</e>
          <e type="operand">t</e>
          <e type="function" args="1">Ia</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="1">-</e>
          <e type="operand">3</e>
          <e type="operand">t</e>
          <e type="function" args="1">Ib</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operand">6</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">≡</e>
        </input>
      </math>
    </region>
    <region left="369" top="144" width="75" height="26" color="#804040" fontSize="10">
      <math>
        <input>
          <e type="operand">0</e>
          <e type="function" args="1">Ia</e>
          <e type="operand">0</e>
          <e type="operator" args="2">≡</e>
        </input>
      </math>
    </region>
    <region left="513" top="144" width="402" height="158" border="true" color="#804040" bgColor="#ffff80">
      <picture>
        <raw format="png" encoding="base64">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</raw>
      </picture>
    </region>
    <region left="369" top="189" width="75" height="26" color="#804040" fontSize="10">
      <math>
        <input>
          <e type="operand">0</e>
          <e type="function" args="1">Ib</e>
          <e type="operand">0</e>
          <e type="operator" args="2">≡</e>
        </input>
      </math>
    </region>
    <region left="54" top="198" width="299" height="26" color="#804040" fontSize="10">
      <math>
        <input>
          <e type="operand">t</e>
          <e type="function" args="1">Ib'</e>
          <e type="operand">2.4</e>
          <e type="operand">t</e>
          <e type="function" args="1">Ia</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="1">-</e>
          <e type="operand">1.6</e>
          <e type="operand">t</e>
          <e type="function" args="1">Ib</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operand">3.6</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">≡</e>
        </input>
      </math>
    </region>
    <region left="45" top="342" width="921" height="38" border="true" color="#804040" bgColor="#ffff80" fontSize="10">
      <text lang="eng" fontFamily="Arial" fontSize="10">
        <content>
          <p>
            <span style="font-weight: bold; background-color: #ffff80;">The author apparently had an older version of SMATH that did not have the Mathcad Toolbox and the Mathcad Block Insert.  He had to program</span>
            <span />
            <br />
            <span style="font-weight: bold; background-color: #ffff80;">his own fourth order Runge-Kutta routine.  His results were aproximately = exact solution.  This newer method gives the exact solution!</span>
            <span />
          </p>
        </content>
      </text>
    </region>
    <region left="72" top="423" width="231" height="118" color="#804040" fontSize="10">
      <math decimalPlaces="6">
        <input>
          <e type="operand">ANS</e>
        </input>
        <result action="numeric">
          <e type="operand">0</e>
          <e type="operand">0</e>
          <e type="operand">0</e>
          <e type="operand">0.1</e>
          <e type="operand">0.538264</e>
          <e type="operand">0.319632</e>
          <e type="operand">0.2</e>
          <e type="operand">0.968513</e>
          <e type="operand">0.568792</e>
          <e type="operand">0.3</e>
          <e type="operand">1.310737</e>
          <e type="operand">0.760745</e>
          <e type="operand">0.4</e>
          <e type="operand">1.581284</e>
          <e type="operand">0.906333</e>
          <e type="operand">0.5</e>
          <e type="operand">1.793527</e>
          <e type="operand">1.014415</e>
          <e type="operand">6</e>
          <e type="operand">3</e>
          <e type="function" args="20">mat</e>
        </result>
      </math>
    </region>
    <region left="324" top="432" width="253" height="23" border="true" color="#804040" bgColor="#ffff80" fontSize="10">
      <text lang="eng" fontFamily="Arial" fontSize="10">
        <content>
          <p style="font-weight: bold; background-color: #ffff80;">&lt;&lt;&lt;&lt;&lt;&lt;=====Thes answers are exact.</p>
        </content>
      </text>
    </region>
    <region left="387" top="477" width="347" height="32" color="#804040" fontSize="10">
      <math>
        <input>
          <e type="operand">CURRENT.a</e>
          <e type="operand">ANS</e>
          <e type="operand">1</e>
          <e type="function" args="2">col</e>
          <e type="operand">ANS</e>
          <e type="operand">2</e>
          <e type="function" args="2">col</e>
          <e type="function" args="2">augment</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="387" top="513" width="347" height="32" color="#804040" fontSize="10">
      <math>
        <input>
          <e type="operand">CURRENT.b</e>
          <e type="operand">ANS</e>
          <e type="operand">1</e>
          <e type="function" args="2">col</e>
          <e type="operand">ANS</e>
          <e type="operand">3</e>
          <e type="function" args="2">col</e>
          <e type="function" args="2">augment</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="90" top="594" width="592" height="322" color="#804040" fontSize="10">
      <xyplot width="582" height="314" points="100" name="XYPlot">
        <chartstyle usedefault="false" backcolor="White" bordercolor="Black" />
        <grid gridcolor="LightGray" gridpattern="Dash" gridthickness="1" isxgrid="true" isygrid="true" isy2grid="false" />
        <xaxes xmin="0" xmax="0.5" xtick="0.1" visible="True" decimalplaces="3" numberformat="General" />
        <yaxes ymin="0" ymax="2" ytick="0.5" visible="True" decimalplaces="3" numberformat="General" />
        <y2axes isy2axis="false" y2min="-1" y2max="1" y2tick="0.5" visible="True" decimalplaces="3" numberformat="General" />
        <title2d title="" titlefont="Arial, 10pt" titlefontcolor="Black" />
        <xylabel labelfont="Arial, 10pt" labelfontcolor="Black" tickfont="Arial, 8pt" tickfontcolor="Black" xlabel="t" ylabel="Current" y2label="y2" />
        <legend isbordervisible="true" islegendvisible="true" legendbackcolor="White" legendbordercolor="Black" legendfont="Arial, 8pt" legendposition="NorthWest" textcolor="Black" />
        <traces>
          <trace seriesname="Current-a" isy2data="false" isvisible="true" plotmethod="Lines" lineantialias="true" linecolor="Blue" linethickness="3" linepattern="Solid" filled="false" hatched="false" fillcolor="64, 0, 0, 255" hatchstyle="Percent20" symbolantialias="true" symbolsize="8" symboltype="None" symbolborderthickness="1" symbolbordercolor="Black" symbolfillcolor="White" />
          <trace seriesname="Current-b" isy2data="false" isvisible="true" plotmethod="Lines" lineantialias="true" linecolor="Red" linethickness="3" linepattern="Solid" filled="false" hatched="false" fillcolor="64, 255, 0, 0" hatchstyle="Percent20" symbolantialias="true" symbolsize="8" symboltype="None" symbolborderthickness="1" symbolbordercolor="Black" symbolfillcolor="White" />
        </traces>
        <input>
          <e type="operand">CURRENT.a</e>
          <e type="operand">CURRENT.b</e>
          <e type="operand">2</e>
          <e type="operand">1</e>
          <e type="function" args="4">sys</e>
        </input>
      </xyplot>
    </region>
  </regions>
</worksheet>