﻿<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<?application progid="SMath Studio Desktop" version="0.98.6179.21440"?>
<regions>
  <settings>
    <identity>
      <id>f9a43cb5-11fd-49bb-8a24-710b6bedacb4</id>
      <revision>6</revision>
    </identity>
    <calculation>
      <precision>3</precision>
      <exponentialThreshold>5</exponentialThreshold>
      <fractions>auto</fractions>
    </calculation>
    <pageModel active="true" printAreas="true" simpleEqualsOnly="false" printBackgroundImages="true">
      <paper id="1" orientation="Portrait" width="850" height="1100" />
      <margins left="39" right="39" top="39" bottom="39" />
      <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 Studio Desktop" version="0.98.6179.21440" guid="a37cba83-b69c-4c71-9992-55ff666763bd" />
      <assembly name="Math Region" version="0.98.6179.21440" guid="02f1ab51-215b-466e-a74d-5d8b1cf85e8d" />
      <assembly name="Picture Region" version="1.10.6179.21444" guid="06b5df04-393e-4be7-9107-305196fcb861" />
      <assembly name="Special Functions" version="1.11.6179.21442" guid="2814e667-4e12-48b1-8d51-194e480eabc5" />
      <assembly name="Nonlinear Solvers" version="1.1.6099.14159" guid="618b7e96-330a-406a-b055-9e577672f0b8" />
    </dependencies>
    <mode debug="true" />
  </settings>
  <region id="0" left="9" top="18" width="551" height="525" border="true" color="#000000" bgColor="#ffffff">
    <picture>
      <raw format="png" encoding="base64">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</raw>
    </picture>
  </region>
  <region id="1" left="567" top="18" width="197" height="81" color="#000000" bgColor="#ffffff" fontSize="10">
    <math fractionType="none" decimalPlaces="4">
      <input>
        <e type="operand">f</e>
        <e type="operand">2</e>
        <e type="operand">a</e>
        <e type="operator" args="2">*</e>
        <e type="operand">2</e>
        <e type="operand">c</e>
        <e type="operator" args="2">*</e>
        <e type="operator" args="2">≡</e>
        <e type="operand">4</e>
        <e type="operand">a</e>
        <e type="operator" args="2">*</e>
        <e type="operand">c</e>
        <e type="operand">e</e>
        <e type="operator" args="2">+</e>
        <e type="operator" args="2">≡</e>
        <e type="operand">6</e>
        <e type="operand">a</e>
        <e type="operator" args="2">*</e>
        <e type="operand">2</e>
        <e type="operand">b</e>
        <e type="operator" args="2">*</e>
        <e type="operator" args="2">+</e>
        <e type="operand">4</e>
        <e type="operand">c</e>
        <e type="operator" args="2">*</e>
        <e type="operand">d</e>
        <e type="operator" args="2">+</e>
        <e type="operand">4</e>
        <e type="operand">e</e>
        <e type="operator" args="2">*</e>
        <e type="operator" args="2">+</e>
        <e type="operator" args="2">≡</e>
        <e type="operand">2</e>
        <e type="operand">b</e>
        <e type="operator" args="2">*</e>
        <e type="operand">2</e>
        <e type="operand">d</e>
        <e type="operator" args="2">*</e>
        <e type="operand">2</e>
        <e type="operand">e</e>
        <e type="operator" args="2">*</e>
        <e type="operator" args="2">+</e>
        <e type="operator" args="2">≡</e>
        <e type="operand">4</e>
        <e type="operand">1</e>
        <e type="function" preserve="true" args="6">mat</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
  </region>
  <region id="2" left="567" top="135" width="99" height="81" color="#000000" bgColor="#ffffff" fontSize="10">
    <math fractionType="none" decimalPlaces="4">
      <input>
        <e type="operand">init</e>
        <e type="operand">a</e>
        <e type="operand">1</e>
        <e type="operator" args="2">≡</e>
        <e type="operand">b</e>
        <e type="operand">1</e>
        <e type="operator" args="2">≡</e>
        <e type="operand">c</e>
        <e type="operand">1</e>
        <e type="operator" args="2">≡</e>
        <e type="operand">d</e>
        <e type="operand">1</e>
        <e type="operator" args="2">≡</e>
        <e type="operand">4</e>
        <e type="operand">1</e>
        <e type="function" preserve="true" args="6">mat</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
  </region>
  <region id="3" left="702" top="162" width="43" height="24" color="#000000" bgColor="#ffff80" fontSize="10">
    <math fractionType="none" decimalPlaces="4">
      <input>
        <e type="operand">e</e>
        <e type="operand">3</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
  </region>
  <region id="4" left="567" top="234" width="202" height="69" color="#000000" bgColor="#ffffff" fontSize="8">
    <math fractionType="none" decimalPlaces="4">
      <input>
        <e type="operand">sol</e>
        <e type="operand">f</e>
        <e type="operand">init</e>
        <e type="function" preserve="true" args="2">FindRoot</e>
        <e type="bracket">(</e>
        <e type="operator" args="2">:</e>
      </input>
      <result action="numeric">
        <e type="operand">1</e>
        <e type="operand">7</e>
        <e type="operand">1</e>
        <e type="operand">4</e>
        <e type="operand">4</e>
        <e type="operand">1</e>
        <e type="function" preserve="true" args="6">mat</e>
      </result>
    </math>
  </region>
  <region id="5" left="567" top="324" width="127" height="131" color="#000000" bgColor="#ffffff" fontSize="10">
    <math fractionType="none" decimalPlaces="4">
      <input>
        <e type="operand">a</e>
        <e type="operand">sol</e>
        <e type="operand">1</e>
        <e type="function" preserve="true" args="2">el</e>
        <e type="operator" args="2">:</e>
        <e type="operand">b</e>
        <e type="operand">sol</e>
        <e type="operand">2</e>
        <e type="function" preserve="true" args="2">el</e>
        <e type="operator" args="2">:</e>
        <e type="operand">c</e>
        <e type="operand">sol</e>
        <e type="operand">3</e>
        <e type="function" preserve="true" args="2">el</e>
        <e type="operator" args="2">:</e>
        <e type="operand">d</e>
        <e type="operand">sol</e>
        <e type="operand">4</e>
        <e type="function" preserve="true" args="2">el</e>
        <e type="operator" args="2">:</e>
        <e type="operand">e</e>
        <e type="operand">e</e>
        <e type="operator" args="2">:</e>
        <e type="operand">5</e>
        <e type="operand">1</e>
        <e type="function" preserve="true" args="7">mat</e>
      </input>
      <result action="numeric">
        <e type="operand">1</e>
        <e type="operand">7</e>
        <e type="operand">1</e>
        <e type="operand">4</e>
        <e type="operand">3</e>
        <e type="operand">5</e>
        <e type="operand">1</e>
        <e type="function" preserve="true" args="7">mat</e>
      </result>
    </math>
  </region>
  <region id="6" left="567" top="468" width="115" height="45" color="#000000" bgColor="#ffffff" fontSize="10">
    <math>
      <input>
        <e type="operand">a</e>
        <e type="operand">b</e>
        <e type="operator" args="2">+</e>
        <e type="operand">c</e>
        <e type="operand">d</e>
        <e type="operator" args="2">+</e>
        <e type="operand">e</e>
        <e type="operator" args="2">+</e>
        <e type="operand">2</e>
        <e type="operand">1</e>
        <e type="function" preserve="true" args="4">mat</e>
      </input>
      <result action="numeric">
        <e type="operand">8</e>
        <e type="operand">8</e>
        <e type="operand">2</e>
        <e type="operand">1</e>
        <e type="function" preserve="true" args="4">mat</e>
      </result>
    </math>
  </region>
</regions>