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          <p>
            <span style="font-size: 14px; background-color: #ffff80;"> The genfunc package contains commands for manipulating rational generating functions.</span>
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            <span /> </p>
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            <p>function finds the rational generating function of the sequence defined by Fn.<br />•      <br /><br />The expression Fn must be a valid closed form expression for a sequence with a rational generating function. </p>
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          <e type="operand" style="string">genfunc[rgf_encode](2^n,n,z)</e>
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          <e type="function" args="1">maple</e>
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          <e type="operand" style="string">genfunc[rgf_encode](2^n, n, z, [0=2, 1=0])</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
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          <e type="operand">1</e>
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      </picture>
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      <text lang="eng" fontFamily="Arial" fontSize="10">
        <content>
          <p>'loosely'  Verify </p>
        </content>
      </text>
    </region>
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      <picture>
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      </picture>
    </region>
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      <text lang="eng" width="91" fontFamily="Arial" fontSize="10">
        <content>
          <p>is same as: </p>
        </content>
      </text>
    </region>
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    </region>
    <region left="441" top="504" width="242" height="43" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">z</e>
          <e type="function" args="1">g</e>
          <e type="operand">1</e>
          <e type="operand">2</e>
          <e type="operand">z</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
          <e type="operand">1</e>
          <e type="operator" args="2">+</e>
          <e type="operand">2</e>
          <e type="operand">z</e>
          <e type="operator" args="2">*</e>
          <e type="operand">1</e>
          <e type="operand">2</e>
          <e type="operand">z</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
          <e type="operand">1</e>
          <e type="operand">2</e>
          <e type="operand">z</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
          <e type="operator" args="2">/</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="756" top="504" width="186" height="43" color="#000000" fontSize="10">
      <math optimize="2">
        <input>
          <e type="operand">z</e>
          <e type="function" args="1">f</e>
          <e type="operand">1</e>
          <e type="operand">1</e>
          <e type="operand">2</e>
          <e type="operand">z</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
          <e type="operator" args="2">/</e>
          <e type="operand">1</e>
          <e type="operator" args="2">+</e>
          <e type="operand">2</e>
          <e type="operand">z</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="432" top="549" width="255" height="26" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">10</e>
          <e type="operand">5</e>
          <e type="operand">i</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">g</e>
        </input>
        <result action="numeric">
          <e type="operand">19.0412</e>
          <e type="operator" args="1">-</e>
          <e type="operand">9.9783</e>
          <e type="operand">i</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
        </result>
      </math>
    </region>
    <region left="756" top="549" width="255" height="26" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">10</e>
          <e type="operand">5</e>
          <e type="operand">i</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">f</e>
        </input>
        <result action="numeric">
          <e type="operand">19.0412</e>
          <e type="operator" args="1">-</e>
          <e type="operand">9.9783</e>
          <e type="operand">i</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
        </result>
      </math>
    </region>
    <region left="558" top="585" width="224" height="53" color="#000000" fontSize="10">
      <text lang="eng" fontFamily="Arial" fontSize="10">
        <content>
          <p>They don't look the same but using a complex number, get the same result...</p>
        </content>
      </text>
    </region>
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</raw>
      </picture>
    </region>
    <region left="0" top="882" width="454" height="23" color="#000000" bgColor="#ff80c0" fontSize="10">
      <text lang="eng" fontFamily="Arial" fontSize="10">
        <content>
          <p style="background-color: #ff80c0;">maple function must be the full name 'rgf_encode', 'encode' does not work.</p>
        </content>
      </text>
    </region>
    <region left="9" top="1008" width="411" height="52" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand">Gy</e>
          <e type="operand" style="string">(1+y^2)/(1-y-y^2)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
          <e type="operator" args="2">:</e>
        </input>
        <result action="symbolic">
          <e type="operand">1</e>
          <e type="operand">y</e>
          <e type="operand">2</e>
          <e type="operator" args="2">^</e>
          <e type="operator" args="2">+</e>
          <e type="operand">1</e>
          <e type="operand">y</e>
          <e type="operand">1</e>
          <e type="operand">y</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
          <e type="operator" args="2">/</e>
        </result>
      </math>
    </region>
    <region left="0" top="1062" width="791" height="53" color="#000000" bgColor="#ffff80" fontSize="10">
      <text lang="eng" width="780" fontFamily="Arial" fontSize="10">
        <content>
          <p style="background-color: #ffff80;">•      This command determines information about the sequence encoded by the generating function Fz. All queries assume that the first nonzero term is the first term in the sequence. <br />•      The possible values for query are: 'boundary' , 'coeffs' ,'delta' , 'first' ,'firstcf' , 'firstrecur' , 'order' , 'recur'. </p>
        </content>
      </text>
    </region>
    <region left="846" top="1098" width="503" height="514" color="#000000">
      <picture>
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</raw>
      </picture>
    </region>
    <region left="0" top="1134" width="624" height="63" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_sequence]('boundary',(1+y^2)/(1-y-y^2),y)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">0</e>
          <e type="operand">1</e>
          <e type="operator" args="2">=</e>
          <e type="operand">1</e>
          <e type="operand">1</e>
          <e type="operator" args="2">=</e>
          <e type="operand">2</e>
          <e type="operand">3</e>
          <e type="operator" args="2">=</e>
          <e type="operand">3</e>
          <e type="operand">1</e>
          <e type="function" args="5">mat</e>
        </result>
      </math>
    </region>
    <region left="0" top="1197" width="664" height="69" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_sequence]('boundary',(1+y^2)/(1-y-y^2),y,t)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">0</e>
          <e type="function" args="1">t</e>
          <e type="operand">1</e>
          <e type="operator" args="2">=</e>
          <e type="operand">1</e>
          <e type="function" args="1">t</e>
          <e type="operand">1</e>
          <e type="operator" args="2">=</e>
          <e type="operand">2</e>
          <e type="function" args="1">t</e>
          <e type="operand">3</e>
          <e type="operator" args="2">=</e>
          <e type="operand">3</e>
          <e type="operand">1</e>
          <e type="function" args="5">mat</e>
        </result>
      </math>
    </region>
    <region left="0" top="1269" width="584" height="45" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_sequence]('coeffs',(1+y^2)/(1-y-y^2),y)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">1</e>
          <e type="operand">1</e>
          <e type="operand">2</e>
          <e type="operand">1</e>
          <e type="function" args="4">mat</e>
        </result>
      </math>
    </region>
    <region left="0" top="1314" width="648" height="49" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_sequence]('coeffs',(1+y^2)/(1-y-y^2),y,t)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">1</e>
          <e type="function" args="1">t</e>
          <e type="operand">1</e>
          <e type="operator" args="2">=</e>
          <e type="operand">2</e>
          <e type="function" args="1">t</e>
          <e type="operand">1</e>
          <e type="operator" args="2">=</e>
          <e type="operand">2</e>
          <e type="operand">1</e>
          <e type="function" args="4">mat</e>
        </result>
      </math>
    </region>
    <region left="0" top="1368" width="648" height="49" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_sequence]('coeffs',(1+y^2)/(1-y-y^2),y,a)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">1</e>
          <e type="function" args="1">a</e>
          <e type="operand">1</e>
          <e type="operator" args="2">=</e>
          <e type="operand">2</e>
          <e type="function" args="1">a</e>
          <e type="operand">1</e>
          <e type="operator" args="2">=</e>
          <e type="operand">2</e>
          <e type="operand">1</e>
          <e type="function" args="4">mat</e>
        </result>
      </math>
    </region>
    <region left="0" top="1422" width="598" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_sequence]('delta',(1+y^2)/(1-y-y^2),y)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">0</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operator" args="2">=</e>
        </result>
      </math>
    </region>
    <region left="0" top="1449" width="561" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_sequence]('first',(1+y^2)/(1-y-y^2),y)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">0</e>
        </result>
      </math>
    </region>
    <region left="0" top="1476" width="577" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_sequence]('firstcf',(1+y^2)/(1-y-y^2),y)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">1</e>
        </result>
      </math>
    </region>
    <region left="0" top="1503" width="601" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_sequence]('firstrecur',(1+y^2)/(1-y-y^2),y)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">3</e>
        </result>
      </math>
    </region>
    <region left="0" top="1530" width="561" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_sequence]('order',(1+y^2)/(1-y-y^2),y)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">2</e>
        </result>
      </math>
    </region>
    <region left="0" top="1557" width="810" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_sequence]('recur',(1+y^2)/(1-y-y^2), y, t, k)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">k</e>
          <e type="function" args="1">t</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">k</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">t</e>
          <e type="operand">2</e>
          <e type="operator" args="1">-</e>
          <e type="operand">k</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">t</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">=</e>
        </result>
      </math>
    </region>
    <region left="0" top="2007" width="363" height="43" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand">Fz</e>
          <e type="operand" style="string">z/(1-z-z^2)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
          <e type="operator" args="2">:</e>
        </input>
        <result action="symbolic">
          <e type="operand">z</e>
          <e type="operand">1</e>
          <e type="operand">z</e>
          <e type="operand">1</e>
          <e type="operand">z</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
          <e type="operator" args="2">/</e>
        </result>
      </math>
    </region>
    <region left="0" top="2052" width="1138" height="36" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand">ex</e>
          <e type="operand" style="string">n^2*F(n+1)+(n^2+1)*F(n)+(n^2-2*n)*F(n-1)+(n+3)^2*F(n-2)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
          <e type="operator" args="2">:</e>
        </input>
        <result action="symbolic">
          <e type="operand">n</e>
          <e type="operand">n</e>
          <e type="operand">1</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operand">2</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operand">1</e>
          <e type="operand">n</e>
          <e type="operand">2</e>
          <e type="operator" args="2">^</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">n</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operand">3</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">2</e>
          <e type="operator" args="2">^</e>
          <e type="operand">2</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
        </result>
      </math>
    </region>
    <region left="0" top="2097" width="397" height="28" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">genfunc[rgf\005F\simp]\0028\ex\002C\\0020\Fz\002C\\0020\z\002C\\0020\F\002C\\0020\n\0029\</e>
          <e type="bracket">(</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">FAIL</e>
        </result>
      </math>
    </region>
    <region left="468" top="2097" width="376" height="23" color="#000000" bgColor="#ff8000" fontSize="10">
      <text lang="eng" width="376" fontFamily="Arial" fontSize="10">
        <content>
          <p style="background-color: #ff8000;">Don't know how to pass variables into maple functions yet...</p>
        </content>
      </text>
    </region>
    <region left="0" top="2142" width="1318" height="36" color="#000000" fontSize="10">
      <math evaluate="false">
        <description active="true" position="Top" lang="eng">
          <content>
            <p> function simplifies occurrences of sequence F in expr. If F is defined by an order k recurrence then all occurrences of F whose index differs from n by an integer amount are simplified to expressions involving F(n),...,F(n−k+1).</p>
          </content>
        </description>
        <input>
          <e type="operand" style="string">genfunc[rgf_simp](n^2*F(n+1)+(n^2+1)*F(n)+(n^2-2*n)*F(n-1)+(n+3)^2*F(n-2), z/(1-z-z^2), z, F, n)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">2</e>
          <e type="operand">5</e>
          <e type="operand">3</e>
          <e type="operand">n</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operand">3</e>
          <e type="operand">n</e>
          <e type="operand">2</e>
          <e type="operator" args="2">^</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">n</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operand">9</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operand">8</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
        </result>
      </math>
    </region>
    <region left="0" top="2232" width="1408" height="36" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_simp](n^2*F(n+1)+(n^2+1)*F(n)+(n^2-2*n)*F(n-1)+(n+3)^2*F(n-2), z/(1-z-z^2), z, F, n,n-1)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">1</e>
          <e type="operand">2</e>
          <e type="operand">n</e>
          <e type="operator" args="2">*</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">2</e>
          <e type="operand">n</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operand">2</e>
          <e type="operand">5</e>
          <e type="operand">3</e>
          <e type="operand">n</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operand">3</e>
          <e type="operand">n</e>
          <e type="operand">2</e>
          <e type="operator" args="2">^</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">2</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
        </result>
      </math>
    </region>
    <region left="225" top="2268" width="36" height="53" color="#000000" fontSize="10">
      <text lang="eng" fontFamily="Arial" fontSize="10">
        <content>
          <p>      <br /><br /></p>
        </content>
      </text>
    </region>
    <region left="0" top="2286" width="1319" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_simp](n^2*F(n+1)+(n^2+1)*F(n)+(n^2-2*n)*F(n-1)+(n+3)^2*F(n-2), z/(1-z-z^2), z, F, n,n+1)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">9</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operand">8</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">1</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operand">19</e>
          <e type="operand">2</e>
          <e type="operand">n</e>
          <e type="operator" args="2">*</e>
          <e type="operand">7</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">n</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
        </result>
      </math>
    </region>
    <region left="0" top="2340" width="1362" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_simp](n^2*F(n+1)+(n^2+1)*F(n)+(n^2-2*n)*F(n-1)+(n+3)^2*F(n-2), z/(1-z-z^2), z, F, n,n+1,factor)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">1</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">9</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operand">1</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operand">19</e>
          <e type="operand">2</e>
          <e type="operand">n</e>
          <e type="operator" args="2">*</e>
          <e type="operand">7</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">n</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
        </result>
      </math>
    </region>
    <region left="0" top="2385" width="970" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_simp](F(3*n-2)+F(3*n-11),(1-z+z^2)/(1-4*z-z^2),z,F(3*n-2),n)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">3</e>
          <e type="operand">2</e>
          <e type="operator" args="1">-</e>
          <e type="operand">3</e>
          <e type="operand">n</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="1">-</e>
          <e type="operand">17</e>
          <e type="operand">5</e>
          <e type="operator" args="1">-</e>
          <e type="operand">3</e>
          <e type="operand">n</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
        </result>
      </math>
    </region>
    <region left="0" top="2430" width="997" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_simp](F(3*n-2)+F(3*n-11),(1-z+z^2)/(1-4*z-z^2),z,F(3*n-2),n,n+1)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">71</e>
          <e type="operand">2</e>
          <e type="operator" args="1">-</e>
          <e type="operand">3</e>
          <e type="operand">n</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="1">-</e>
          <e type="operand">17</e>
          <e type="operand">1</e>
          <e type="operand">3</e>
          <e type="operand">n</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
        </result>
      </math>
    </region>
    <region left="0" top="2475" width="932" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_simp](F(3*km-11),(1-z+z^2)/(1-4*z-z^2),z,F(3*n-2),n,km)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">17</e>
          <e type="operand">5</e>
          <e type="operator" args="1">-</e>
          <e type="operand">3</e>
          <e type="operand">km</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operand">4</e>
          <e type="operand">2</e>
          <e type="operator" args="1">-</e>
          <e type="operand">3</e>
          <e type="operand">km</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
        </result>
      </math>
    </region>
    <region left="0" top="2511" width="469" height="453" color="#000000">
      <picture>
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</raw>
      </picture>
    </region>
    <region left="0" top="2979" width="1183" height="36" color="#000000" fontSize="10">
      <math evaluate="false">
        <description active="true" position="Top" lang="eng">
          <content>
            <p>function shifts and scales fn to determine the sequence encoded by the product of pz and the generating function of fn.<br /><br />termscale(pz, z, fn, n)   <br /><br />pz: polynomial in z<br />z:  name, polynomial variable<br />fn: expression for the nth term in a sequence<br />n:  name, index variable for fn </p>
          </content>
        </description>
        <input>
          <e type="operand" style="string">genfunc[termscale](1+a*z, z, n*2^n*t(n) + n^2*t(n-1), n)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">n</e>
          <e type="operand">2</e>
          <e type="operand">n</e>
          <e type="operator" args="2">^</e>
          <e type="operand">n</e>
          <e type="function" args="1">t</e>
          <e type="operator" args="2">*</e>
          <e type="operand">n</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">t</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operand">a</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operand">2</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">^</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">t</e>
          <e type="operator" args="2">*</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">2</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">t</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
        </result>
      </math>
    </region>
    <region left="0" top="3150" width="589" height="118" color="#000000">
      <picture>
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</raw>
      </picture>
    </region>
    <region left="0" top="3321" width="599" height="41" color="#000000" fontSize="10">
      <math evaluate="false">
        <description active="true" position="Top" lang="eng">
          <content>
            <p>procedure finds the generating function of the hybrid terms that results from the term wise multiplication of the sequences encoded by the generating functions gf1, gf2, ....</p>
          </content>
        </description>
        <input>
          <e type="operand" style="string">genfunc[rgf_hybrid](z, 1/(1-2*z), 2*z/(1-3*z))</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">4</e>
          <e type="operand">z</e>
          <e type="operator" args="2">*</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">6</e>
          <e type="operand">z</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">/</e>
          <e type="operator" args="1">-</e>
        </result>
      </math>
    </region>
    <region left="0" top="3402" width="669" height="43" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_hybrid](z, z/(1-z-z^2), 1/(1-2*z))</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">2</e>
          <e type="operand">z</e>
          <e type="operator" args="2">*</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">2</e>
          <e type="operand">z</e>
          <e type="operator" args="2">*</e>
          <e type="operand">1</e>
          <e type="operand">2</e>
          <e type="operand">z</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">/</e>
          <e type="operator" args="1">-</e>
        </result>
      </math>
    </region>
    <region left="0" top="3447" width="349" height="165" color="#000000">
      <picture>
        <raw format="png" 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tpakVadLMZhmGaE5YqwzCMhbBUGaZN2b4LDHiBofNAD/3/+waOz1cPgLsTwE9vGDNaGJYqw7QhWoLpDuD9bXqxCfSKLlBBfVlduQ+te5bbSesnG3WGjfktDEuVYdqNXWBQBrongX3xegvwO4AX3zZeN4JllirDMC3KFkWpQmCBO8aMZoClyjBMqxIf0wXW5wfOvAq8chJwBoCdzJFP9PfiKKDQ+2Qf8OhAHzE1kzcllQWwVBmGaVW0lH105Xe/YaTxozJ/QCZ5kljN4v/mDOCi1yIv6sJbwPP0/pqO4WepMgzTqphSfeMzYwZhzlvI7QEgItZhEupCOo9qFo+Ba5eAS6WmUpmqWKoMw7QqZvE/nFGUN6WaOU9YNOwHxuN1yDLFUmUYplV5sqgL7Eik2kHCNcJRdQ8IZiaa3gduXNMC09rAUmUYpmUx6lA7rxoRKIn0LJnAN2PUqdLroAt4jqLUqYherzpBgs18lIrlsFQZhmllRIb+iwOAux8485/0N8nTbP2PjpB0l4CDHeCChyRBAu6fALYP9eWWIjr/e2k7HLpUxbrc9LqVR1axVBmGYSyEpcowDGMhLFWGYRgLYakyDMNYCEu1TVATixj2+BBJ1LzHIcMUQEUi4oNneBF2Pg1Zqm2AJlSXC8HlmnWIYZgySWI56ILLxmJlqdoddQ0hlwRXaK32o2IYphxsfk6yVG3NPlbGXZBcIayxUZkmQl0LwSW5ML5ipnCxDyxVG6OfuDJGolzsZ5qNJKIjsi1v+CxV27KFSJ8EqTuMDY5SmaKoOPj2LiYGfoobfzdm1QF1I4xuSUJfZMuYYw9YqjZFXb2CDhuesIy13J/ywu12w6nQDVjqzM5SVXOMG3/HFaza6MbPUj0GhwcHTVrRvo87ASpaSWcwv2vMYpgiLAcbIVVgd/4MrVdG4I596lZbSKoq9h5EMNrjhtvpgKx0YaKMLkJbkT7tR1MUIZmgSIZjAcsIUhQoyTJkS6LBQ2z/JYZ7D7+nv4qwFUEfrU9WFG29wUI7sx/FiNi+voh4plt7oiawONoFRRwv3yweHWwgfMqHmQ37NYxYQaOkap7T0khUz5BlA1pGqsnloNbo4osksDXnoxOAfgjfXHn5HZNLOCveb5lUBSrWr3Zq23Fsqa6FtKK6JHUgtGbMK4iK+Jh4b2Gp7kdHtOWddb9CmofNmW64Au8gFoth4a0X8bzkQiC606Qli8bTMKmCbnadYt0jiNrEqi0i1U3MdGdIMbmO+akpzK+X26ptRJaWStWMgi2Q6u4tDIs6LWUYt8oorusXQGGproyLqFzCWJwVokWsw70ILHxdu1ygNqBxUjWDBBnjK8asFqdFpGoWt8dR3XFvcqlWSHGpmnf+PrR9GxXdfMP+XozHOUItReOkmr6O7FKyai2pVl1H2EZSNetTLd7XVkPdiyPYO4yIWZrZX8ONa7HaPQ6kxWmkVGnl2vlsl3rVGkrVFJk+nb0yjX63AwqF+Z5zt1JyTK7P42I/zXeIbh0KuoamcX2iH26HQsVhP26+ZxzwnKlgI01ezG0Zw/ufXMdQjxde2hZZduDEaHoMsimr9KRHe6Y8zcmUaOoOOxLCxQH6Tq+X9kGGo/9iRtVEieNQtPHJaJw7oR8f8f3egQkEz+jflfcYJGZxWqzr9CwSxqyCUCQ387JT2xZH/zRWaZPVRAQ+JYCWboxN0jF3SXjOfxFTkduIxRYw0euAL7zOVQAFaKhUKzlnW4AaR6rpxhxJ9iGyTBes+FvyYU6EDFtz8MkkFLpDaSe7SkVXUXf6k1/hwd9+iwHvy7ip+eu4kWZabFpLsNbErmIj3K3NG1x8or1LI0mRHm2TJJ3FUuoKNPbDFUR8L12QTMk2c766g6WRDpqfmcCkxHGgvV86q29fpij1xjkJrmAc5tcfbi8hQMLIfW8K865fshFvC3M+GUrXEF57bQg94iajOOmm0OqJV8RIHQ8CS9s42InigkemY+5A/8Td2jwOxCY0VKqPyQPa9WCP0lVBqW6HnXhH+hm+/Kcxo0pS4hmLk1oo8vrqHu59tUd/iUZvIZ/s4rMZLY5kNQVaJdVuzGwaswSmgLLspGL1itiuzL5zu5in6DBLvkTB4v9GGJ3ie7tnYK6u2HEQmPud2pT9Owhocj/aKnrkvRmYLf/Z+5SH/X/gz7G/pp5LpNU/+hzwzyVS28TYH9H53+t1w6GdaxR0aCWi+o6sSl+f9ugBUCRSXcfHkhDr8eRaUDxEMalmC8wqqeZ8Pq9UCVOKZh3P7jzOyEeLxIX3zVxf+s5f7DgIckWpxsf0bctTj1xMqil5l5JqJslVhE56MLzIQmUagXm92KNxtYzif6Zcnfj4gTG7TIrJRKu/E3fIs0vZxX8qTmeXQOss1VQXLn1EkujzKNN7coVTWqpp8VUq1ZQcayxV0aAz3tWF8Xg6amaY+tJ2UjX5Dl++Urlci8pEFHGVk+gfcMIhGqocDpwYmkY8VSY1qbdUzeFzErpn5hDq6MCVPIOTS0v1NGaNmvdKpZoqxtdQqupOFAHPSYREC5XJ4VP862n1lY/aunkqOFlBvu9t5qk0bSfV41UDFJWJkFpZLX71lyqeLGJQ+wxNnWHkq78vuG9F6lTLlWrhOtXiI6rKlaouVB9m9VY7HXUHCy/JdCMxt/oQ3z98iG+OIVmmBIff4+HDb9Deh7htpGpNnWpi9rR2kZ82Q7ZMNPnI8E2Kbi+x1PSXb/6Ng8zAUI1jTDvoY6hqkFCBz6fqLbXGo1zMpCQiWs1s3UqTElhm6//hI8z6RItz9vOgih6HAqIUw3FFN6vuNz4zugKp2IvrPQLEe8+muyekKKuhan8F4y4ZDrfRBcw9gPOXzqPfQdudUfXyZHFQ/6489clMftS9T3B9qAderxOK1mVv3uhtko8nWBzUf0s5cKe6Ppok5c8jo+i5/CF+NGbVgsr2q1JMqdq8oer4rf/mgcqesq71w4d488TR92iT0os31/bT4sqayo9Y834+GMyzbUfvknr6vMKZnrTv7r6Kjz4XfUndcGutqAqcAxO4m+q/U+I4mAklMqfUQhU78WkMdSlQnKJvrZtO5giuGt2vtCm3esCMvgt2qdKfBtB9dV1L3iIi1tfp+0W3I/HdmSN/91fGUwIv5mjGQGsTSOcYMLvEFR60YjyZQTvGFZbCHr+HV+h805ILic/XsuN8xftVIe3Spar26P0kpb7f5NzxDvH0m/cx0lH8R9O7gpQxTd03PlE5ol616giiUVjdkfrwKW6/ap9x2TXFSIwj0w1NP2/NSPRZTP6PNiMvh09v49Vqh2DXI8tTlftVNtz53yKMkyF/cVgEXOJHq++dK7k8gR5vj5FSUPQAyN9A1dRYPUxVXcWVjkHkdNFl8rF1E35FguKfOzJKL7vfdTZaiWhwkVRVBfWQapX7VTZm6SpvNVzr0cBIdRe3hqnY6RpG5EFmd55DfP+nEE7KMjzT9X3aopndyUXrFc8nV1J35lbC2oQqu4uDUKqO1um3FFUjPZfxYS0r/JoWI7N90d9il6I+pfokzfWQ6hHy7ZeKxOIoukS2NVk0gB5gI3wKvpmNkttlVtFxQhUrUA/w7d1pDPXoXapEcd3tdMI9cBGRj7a1Or96Ip6Pf86jwEHb4DTGwrcilqX+++EPOOcI4E7Fx+Ex3ntFPKaDftcCo8LaAb1OXi6ac+CHP5yDg25aVZ9qDZBq3v3anEG3K4B3RGPzwlt48XkKTgLR9Ii9gnDqP6YFaJ4k1WZE04ZS1ZK6UGnrQjliOQZlSvVx7BouXbpUcnr3ixJFipL7JSLWYfQGFvB1WXcKs2Rln3OEpWpHmuZxKm0qVTWBiE+Bb/LT2gpVUM9IteR+JbEe9qN3PF7+fjek+qK2sFRtidnHttGdqesn1eTqtN7PVmQHi+9hj6J1DxWrvzOWW0epusMkloMeKho/MDKL7SM60ok3PqvRAaiblErsl7qHeLAXwxGzSmAfazeuIVYiga1en8oP/mNagOZ4RHWdpKoNd/Zh8nYMsdsRvN77DGRfOKvPrWUUrTsk4UZ8ePZkEJEPzMEsv8ZLcg1vbnWRaqn9EsJ1QXrOj4tTEdym5QsTvXCU/A2MHBv8iGqmNdDTFTb2hC1Tqo9juJanfu/I9O4XJUcNJVdD6PVP4tMC5U/L6hbz1R3en9Ce3qp1D8qcajEiTev874XXqRjrUeAUr2sxsqrEfiW1UsEStg92EL3ggUyRp6M/cwBMfswb/xmbPUedpWpj1LUQxBNoBxcbddLWs05VxU40gN7h7FFhtaGKukMmB9GVTIbkCmHNZseQpWprjGGQHUEs11xq+aiXVA/xaDZbclsfTJURbVZBlXWHTDb7y0GKUl0YX2nIiVlTWKp2x8hR6xpfqWGdWyHqIVW9vk9+5hTO/eI6FmIx3J45B48ngKjlYWS1dYdMFlpCHwl9s/ZMis5SbQO0NH+uej57Su/8r2U0MurftIQwXutHVqkbYZwiqT3Y28P6jF9bn9I1mjNKzxqqrTtkMtFvTJnPXbMbLNU2QYwWG/b48PZmDYrEDFMWP2LzbR88w+knGNsRlirDMIyFsFQZhmEshKXKMAxjISxVhmEYC2GpMgxTNnufAEM9gNcJyA5gdF70EmYyYakyDFMW6gbQ7QKiO/rr5SAJhAzSF9FfMzosVYZhymItpEvUN2fMeAIM0mvpWcCKR1XZBZYqwzBlsXUTUMgYfpKq2c00KKRKU+1zO7QOLFWGYapji4r+Qqp92p86SWC6H5BpvisI7O0BIx7gjvWJbZsWlirDMFWxeoUEIgPhdWMGcScA+CaBWAyIvA48k7O8HWCpMgxTMcllikRJmBei6aqALChiDfUCk58WWG5jWKoMw1SEmqBoVCksTHUHCJBQI20WoZqwVBmGKR+KQIMeKtI/MIS6D4x0Auajqg4fAX4SatzodiUqW6feFalU2geWKsMw5UEWjfiAk0Hgg5hebxr7NSAbDVVaBCsDp84B1xdo2W3gHAk4UKiKwKawVBmGKYv7EyQMMkbuJAcoYCVrhk/pEeweFfv9Ci2jaTRCr9vJqAQdEoZhGMYqWKoMc1weAi94AW8F0x9/MD7L2A6WKsM0IfmK2TxZN9WSGn89wzBMe8FSZRiGsRCWKsPYGM5/Wn9YqgxjUzj/aWNgqTKMTeH8p42BpcowNoXznzYGlirDtAgJKrbLnQCV6qsjX/5TqzkEfn9R74vrkAHnAPDJnrGsEdD2fE7Hredy/fIPsFQZpgUQ4+o1IR5Dqvnyn5aEItobN7T/yiI6AvjCWt6VVC4Asc7leg9VfQy8QmJ3iwY6cdxou+oVnLNUGabZISHNUnTZ0VG9VEvmPy2EiG7LXadZZ6sAK8ZKzHrdl36nv647ZnTOUmUYxiQxS2K4ClwlsVYj1VL5T4tSiVTJWhMeigxpWhahKrFFRW8h1U6KXhsCS5VhmExEt6hTPmCdJBXJJ1Wy5OKo3iAl0/seHejZombMN5XIf1qSSqSaB7MbV5AiZZPEItAlslhR5Dz7iL6bhOubqZH0WKoMw6QgCwpBmnWg+aS6STJyBfTcpgtvAc/TFZ3KX0r/FMt/WhbHkeoucIa2R2zfjrZBxKbed/YdsS0LwIvP5yy3GpYqwzAmWgRnNPoI8kaqJiSlxWESKonKfH/R/KfGe7L4EXj3EnApc/ovoIM+83Lu/FLZ/A2hK349ys6HiFh7aVu+LrD8C1pH1joLTLHHxgfywVJlGMZE9Cl1uNPpAkUXJSFFJ/19+UPjTQKSUpjkNR43IlQrqTJSFcV+EYEWEuY63Sx6x2sYoZqwVBmGKYTWcT9HcOoezc98yB6Z48Y1rUeRNVQhVdGf1kNC3TaSDIiI+wxF0Bok0TgJd5jeY/p27UaJaPM4sFQZhinEEamSlYIu4DmKUqdIUqLOdIIEm1llcGwqlKrWdYui6zAV7bU6XJp+3k3baTRUaQ1XzwEXp4DbtGxhgiJwoyGuJrBUGYbJ5fF7VPwnUWmd2GkSVQKi+C862geWgIMd4IKHlslAP0nKjBAtoRKpUrTpN6oocqeZTRJu1IhgD2jbL+j74+gH7m4bn7cSo/O/yM5lboOoNvHWYWQVrYphGKYAJCcfRZrkRKZMWKoMwzAWwlJlGIaxEJYqwzCMhbBUGYZhLISlyjQvagJzfgd8c1vGDLuzj5VxDzzjy9Z1iWLqDkuVaVKSWA660DEWby/B0I1ktk+GL5KwfnQUUweA/we6oWgCf8vfjgAAAABJRU5ErkJggg==</raw>
      </picture>
    </region>
    <region left="0" top="3636" width="729" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <description active="true" position="Top" lang="eng">
          <content>
            <p>Function finds the homogeneous linear recurrence with constant coefficients of order K that is satisfied by seq.<br />•      <br /><br />If seq satisfies a recurrence of order less than K, that recurrence is found. </p>
          </content>
        </description>
        <input>
          <e type="operand" style="string">genfunc[rgf_findrecur](2, [1, 2, 3, 4], t, n)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">n</e>
          <e type="function" args="1">t</e>
          <e type="operand">2</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">t</e>
          <e type="operator" args="2">*</e>
          <e type="operand">2</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">t</e>
          <e type="operator" args="2">-</e>
          <e type="operator" args="2">=</e>
        </result>
      </math>
    </region>
    <region left="0" top="3753" width="646" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_findrecur](2, [1, 2, 4, 8], s, j)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="numeric">
          <e type="operand">j</e>
          <e type="function" args="1">s</e>
          <e type="operand">2</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">j</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">s</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">=</e>
        </result>
      </math>
    </region>
    <region left="0" top="3780" width="285" height="96" color="#000000">
      <picture>
        <raw format="png" 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</raw>
      </picture>
    </region>
    <region left="0" top="3987" width="519" height="50" color="#000000" fontSize="10">
      <math evaluate="false">
        <description active="true" position="Top" lang="eng">
          <content>
            <p>rgf_norm(Fz, z) puts the generating function in normal form, expands the numerator and denominator, and factors the low order coefficient from the denominator.</p>
          </content>
        </description>
        <input>
          <e type="operand" style="string">genfunc[rgf_norm](1/(2-3*z+z^2), z)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">1</e>
          <e type="operand">2</e>
          <e type="operand">3</e>
          <e type="operand">z</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
          <e type="operand">z</e>
          <e type="operand">2</e>
          <e type="operator" args="2">^</e>
          <e type="operator" args="2">+</e>
          <e type="operator" args="2">/</e>
        </result>
      </math>
    </region>
    <region left="0" top="4077" width="627" height="43" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_norm](1/(2-3*z+z^2), z, 'factored')</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">1</e>
          <e type="operand">1</e>
          <e type="operand">z</e>
          <e type="operator" args="2">-</e>
          <e type="bracket">(</e>
          <e type="operand">2</e>
          <e type="operand">z</e>
          <e type="operator" args="2">-</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">/</e>
        </result>
      </math>
    </region>
    <region left="0" top="4122" width="697" height="45" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_norm](1/(5-z^2), z, 'factored'(sqrt(5)))</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">1</e>
          <e type="operand">5</e>
          <e type="function" args="1">sqrt</e>
          <e type="operand">z</e>
          <e type="operator" args="2">-</e>
          <e type="bracket">(</e>
          <e type="operand">5</e>
          <e type="function" args="1">sqrt</e>
          <e type="operand">z</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">/</e>
        </result>
      </math>
    </region>
    <region left="0" top="4167" width="243" height="197" color="#000000">
      <picture>
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</raw>
      </picture>
    </region>
    <region left="0" top="4536" width="689" height="28" color="#000000" fontSize="10">
      <math decimalPlaces="15">
        <description active="true" position="Top" lang="eng">
          <content>
            <p>Procedure finds the value of the nth term in the sequence encoded by the generating function Fz.<br />•      <br /><br />The value FAIL is returned if Fz is a trivial rational generating function. </p>
          </content>
        </description>
        <input>
          <e type="operand" style="string">genfunc[rgf_term](1/(1-2*z), z, 100)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">1267650600228230000000000000000</e>
        </result>
      </math>
    </region>
    <region left="720" top="4608" width="116" height="83" color="#000000" bgColor="#ff8000" fontSize="10">
      <text lang="eng" fontFamily="Arial" fontSize="10">
        <content>
          <p style="background-color: #ff8000;">&lt;less precision than the latest Maple algorithms</p>
        </content>
      </text>
    </region>
    <region left="0" top="4626" width="481" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_term](z/(1-z)^2, z, 1001)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">1001</e>
        </result>
      </math>
    </region>
    <region left="0" top="4653" width="459" height="35" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_term](1/(1-a*z), z, 26)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">a</e>
          <e type="operand">26</e>
          <e type="operator" args="2">^</e>
        </result>
      </math>
    </region>
    <region left="0" top="4689" width="541" height="61" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_term](1/(1-y-y*z), z, 58)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">y</e>
          <e type="operand">58</e>
          <e type="operator" args="2">^</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">y</e>
          <e type="operator" args="2">+</e>
          <e type="bracket">(</e>
          <e type="operand">59</e>
          <e type="operator" args="2">^</e>
          <e type="operator" args="2">/</e>
          <e type="operator" args="1">-</e>
        </result>
      </math>
    </region>
    <region left="0" top="4743" width="332" height="239" color="#000000">
      <picture>
        <raw format="png" 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      </picture>
    </region>
    <region left="0" top="4959" width="647" height="29" color="#000000" bgColor="#ffff80" fontSize="14">
      <text lang="eng" width="647" fontFamily="Arial" fontSize="10">
        <content>
          <p style="background-color: #ffff80; font-size: 14px;"> rgf_charseq:    find characteristic sequence of a rational generating function </p>
        </content>
      </text>
    </region>
    <region left="0" top="5013" width="569" height="28" color="#000000" fontSize="10">
      <math evaluate="false">
        <description active="true" position="Top" lang="eng">
          <content>
            <p>command returns the characteristic sequence of Fz as a function of Fn.</p>
          </content>
        </description>
        <input>
          <e type="operand" style="string">genfunc[rgf_charseq](z/(1-z-z^2), z, F(n), n)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">1</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">F</e>
        </result>
      </math>
    </region>
    <region left="0" top="5067" width="730" height="43" color="#000000" fontSize="10">
      <math evaluate="false">
        <input>
          <e type="operand" style="string">genfunc[rgf_charseq]((1+2*z)/(1-3*z-4*z^2), z, t(n), n)</e>
          <e type="function" args="1">parse</e>
          <e type="function" args="1">maple</e>
        </input>
        <result action="symbolic">
          <e type="operand">4</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand">n</e>
          <e type="operator" args="2">+</e>
          <e type="function" args="1">t</e>
          <e type="operator" args="2">*</e>
          <e type="operand">n</e>
          <e type="function" args="1">t</e>
          <e type="operator" args="2">+</e>
          <e type="operand">3</e>
          <e type="operator" args="2">/</e>
        </result>
      </math>
    </region>
    <region left="0" top="5112" width="408" height="162" color="#000000">
      <picture>
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</raw>
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</worksheet>