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    <title>MaplePrimes - answers and comments on Question, how to convert a parametric equations back to in terms of x and y with maple?</title>
    <link>http://www.mapleprimes.com/questions/141207-How-To-Convert-A-Parametric-Equations</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
    <generator>Maplesoft Document System</generator>
    <lastBuildDate>Sat, 13 Jun 2026 22:05:41 GMT</lastBuildDate>
    <pubDate>Sat, 13 Jun 2026 22:05:41 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>The latest answers and comments added to the Question, how to convert a parametric equations back to in terms of x and y with maple?</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - answers and comments on Question, how to convert a parametric equations back to in terms of x and y with maple?</title>
      <link>http://www.mapleprimes.com/questions/141207-How-To-Convert-A-Parametric-Equations</link>
    </image>
    <item>
      <title>eliminate</title>
      <link>http://www.mapleprimes.com/questions/141207-How-To-Convert-A-Parametric-Equations?ref=Feed:MaplePrimes:how to convert a parametric equations back to in terms of x and y with maple?:Comments#answer141214</link>
      <itunes:summary>&lt;p&gt;There is 'eliminate', which you could try. However I found the following slightly neater:&lt;/p&gt;
&lt;p&gt;restart;&lt;br&gt;eq1,eq2:=x = a*(3*cos(t) - cos(3*t)),y = a*(3*sin(t) - sin(3*t));&lt;br&gt;sys := [eq1,eq2]:&lt;br&gt;expand(sys);&lt;br&gt;sys1:=subs(cos(t)=c,sin(t)=s,%);&lt;br&gt;solve(sys1,{s,c});&lt;br&gt;eq:=subs(%,s^2+c^2=1);&lt;br&gt;indets(eq,specfunc(anything,RootOf));&lt;br&gt;alias(q=op(%));&lt;br&gt;eq;&lt;br&gt;normal((lhs-rhs)(%));&lt;br&gt;EQ:=simplify(numer(%));&lt;br&gt;EQA:=[allvalues(EQ)];&lt;br&gt;plots:-implicitplot(eval(EQA,a=1),x=-3..3,y=-4..4,grid=[50,50],gridrefine=1);&lt;br&gt;plot(eval([rhs(eq1),rhs(eq2),t=-Pi..Pi],a=1));&lt;br&gt;&lt;br&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;There is 'eliminate', which you could try. However I found the following slightly neater:&lt;/p&gt;
&lt;p&gt;restart;&lt;br&gt;eq1,eq2:=x = a*(3*cos(t) - cos(3*t)),y = a*(3*sin(t) - sin(3*t));&lt;br&gt;sys := [eq1,eq2]:&lt;br&gt;expand(sys);&lt;br&gt;sys1:=subs(cos(t)=c,sin(t)=s,%);&lt;br&gt;solve(sys1,{s,c});&lt;br&gt;eq:=subs(%,s^2+c^2=1);&lt;br&gt;indets(eq,specfunc(anything,RootOf));&lt;br&gt;alias(q=op(%));&lt;br&gt;eq;&lt;br&gt;normal((lhs-rhs)(%));&lt;br&gt;EQ:=simplify(numer(%));&lt;br&gt;EQA:=[allvalues(EQ)];&lt;br&gt;plots:-implicitplot(eval(EQA,a=1),x=-3..3,y=-4..4,grid=[50,50],gridrefine=1);&lt;br&gt;plot(eval([rhs(eq1),rhs(eq2),t=-Pi..Pi],a=1));&lt;br&gt;&lt;br&gt;&lt;/p&gt;</description>
      <guid>141214</guid>
      <pubDate>Fri, 07 Dec 2012 20:01:14 Z</pubDate>
      <itunes:author>Preben Alsholm</itunes:author>
      <author>Preben Alsholm</author>
    </item>
    <item>
      <title>By eliminate command</title>
      <link>http://www.mapleprimes.com/questions/141207-How-To-Convert-A-Parametric-Equations?ref=Feed:MaplePrimes:how to convert a parametric equations back to in terms of x and y with maple?:Comments#answer141215</link>
      <itunes:summary>&lt;p&gt;&lt;br&gt; &lt;/p&gt;
&lt;form name="worksheet_form"&gt;
&lt;table style="width: 576px;" align="center"&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;The first thought is to apply the eliminate command. But the output of&lt;/span&gt;&lt;/p&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -41;" src="/view.aspx?sf=141215/449551/8763ebd25f0d75e1d76382f64692e216.gif" alt="eliminate ({x = a*(3*cos(t) - cos(3*t)), y = a*(3*sin(t) - sin(3*t))},t)  is quite complex. The reason is that the eliminate command  deals with transcendental functions sin and cos.  " width="576" height="58" align="middle"&gt;&lt;br&gt; &lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/ec436c89510927ce2a3686ad3e37aff7.gif" alt="Without*loss*of*generality*we*may*put*a = 1." width="267" height="23"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;&amp;nbsp;Next, we expand the equations. Then we change &lt;/span&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/2804a8df5b6ac3436a11f49545df1c68.gif" alt="cos(t) = a, sin(t) = b, taking*into*account*the*identity*a^2+b^2 = 1." width="395" height="27"&gt;&lt;/p&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -42;" src="/view.aspx?sf=141215/449551/20874889e7a1cd16bf21eabe8a04931f.gif" alt="sys := {x = 3*cos(t)-expand(cos(3*t)), y = 3*sin(t)-expand(sin(3*t))}; -1; sys1 := eval({x = 3*cos(t)-expand(cos(3*t)), y = 3*sin(t)-expand(sin(3*t))}, [cos(t) = a, sin(t) = b])" width="576" height="59" align="middle"&gt;&lt;/p&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/c76d475b122f597e56013e7c4291fcce.gif" alt="{x = 6*a-4*a^3, y = 4*b-4*b*a^2}" width="202" height="27"&gt;&lt;/p&gt;
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&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;(1)&lt;/td&gt;
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&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/7c65075a990123868769a8a41f4dfacb.gif" alt="sys2 := `union`(sys1, {a^2+b^2 = 1})" width="208" height="27"&gt;&lt;/p&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/68b501c404956c74799c62de827dd66a.gif" alt="{x = 6*a-4*a^3, y = 4*b-4*b*a^2, a^2+b^2 = 1}" width="278" height="27"&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;(2)&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;Now we operate with a polynomial system. &lt;/span&gt; &lt;br&gt; &lt;img style="vertical-align: -24;" src="/view.aspx?sf=141215/449551/28dafe13b718c62263778614b40808b4.gif" alt="eliminate(sys2, {a, b})[2]" width="576" height="41" align="middle"&gt;&lt;/p&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;img style="vertical-align: -90;" src="/view.aspx?sf=141215/449551/649e058fcb354fe264e76837741a3891.gif" alt="{(4096-48*y^8*x^2-3*y^10*x^2+6*y^8*x^4+468*y^4*x^4-96*y^4*x^6-192*y^4-416*y^6+12*y^10-12*y^8+3840*x^4+y^12-1280*x^6-3840*y^2*x^2-672*y^4*x^2-120*y^6*x^2-6144*x^2+3072*y^2+x^12-24*x^10+84*y^6*x^4-7*y^6*x^6+1920*x^4*y^2-3*y^2*x^10+60*y^2*x^8-480*y^2*x^6+6*y^4*x^8+240*x^8)*(x^6-12*x^4+48*x^2-64+3*x^4*y^2-24*y^2*x^2-60*y^2+3*y^4*x^2-12*y^4+y^6)}" width="546" height="111" align="middle"&gt;&lt;/p&gt;
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&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;(3)&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;It is not yet &amp;nbsp;the &amp;nbsp;end &lt;/span&gt; &lt;br&gt; &lt;img style="vertical-align: -60;" src="/view.aspx?sf=141215/449551/002bfae5d854d5188a9e95bafe7c8eb3.gif" alt="because this is not a happy end. Let's compare the plots:    plot([(3*cos(t) - expand(cos(3*t))),  (3*sin(t) -expand( sin(3*t))), t=0..2*Pi])  " width="576" height="77" align="middle"&gt;&lt;br&gt; &lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/6859a25ee32af2ddfb8c3f07b83c2be5.gif" alt="``" width="11" height="23"&gt;&lt;/p&gt;
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&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;a href="http://www.maplesoft.com/support/faqs/MapleNet/redirect.aspx?param=plot_java_14206"&gt;&lt;img style="border: none;" src="/view.aspx?sf=141215/449551/8a1b2786dad81c39b51e28d735e99a4b.gif" alt="" width="400" height="400" align="middle"&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/2a993397bdde802feed12b9de295546d.gif" alt="plots:-implicitplot(op(eliminate(sys2, {a, b})[2]), x = -3 .. 3, y = -5 .. 5, numpoints = 10^5)" width="539" height="27"&gt;&lt;/p&gt;
&lt;table&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;a href="http://www.maplesoft.com/support/faqs/MapleNet/redirect.aspx?param=plot_java_14206"&gt;&lt;img style="border: none;" src="/view.aspx?sf=141215/449551/e11a567c8a0a637e1735e3b503c0b421.gif" alt="" width="400" height="400" align="middle"&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;The curve under consideration is described only by&lt;/span&gt; &lt;br&gt; &lt;img style="vertical-align: -49;" src="/view.aspx?sf=141215/449551/f5bc875916c15d30350ab4c239644f29.gif" alt="the*factor*x^6-12*x^4+48*x^2-64+3*x^4*y^2-24*y^2*x^2-60*y^2+3*y^4*x^2-12*y^4+y^6; plots:-implicitplot(x^6-12*x^4+48*x^2-64+3*x^4*y^2-24*y^2*x^2-60*y^2+3*y^4*x^2-12*y^4+y^6, x = -3 .. 3, y = -5 .. 5, numpoints = 10^4)" width="576" height="70" align="middle"&gt;&lt;/p&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;a href="http://www.maplesoft.com/support/faqs/MapleNet/redirect.aspx?param=plot_java_14206"&gt;&lt;img style="border: none;" src="/view.aspx?sf=141215/449551/c93432de008c137320dc0a0db0e5b1c0.gif" alt="" width="400" height="400" align="middle"&gt;&lt;/a&gt;&lt;/p&gt;
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&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;The end.&lt;/span&gt;&lt;/p&gt;
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&lt;input type="hidden" name="sequence" value="1"&gt; &lt;input type="hidden" name="cmd" value="none"&gt;&lt;/form&gt;
&lt;p&gt;&lt;br&gt; &lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=141215/449551/eliminate.mw"&gt;Download eliminate.mw&lt;/a&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;&lt;br&gt; &lt;/p&gt;
&lt;form name="worksheet_form"&gt;
&lt;table style="width: 576px;" align="center"&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;The first thought is to apply the eliminate command. But the output of&lt;/span&gt;&lt;/p&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -41;" src="/view.aspx?sf=141215/449551/8763ebd25f0d75e1d76382f64692e216.gif" alt="eliminate ({x = a*(3*cos(t) - cos(3*t)), y = a*(3*sin(t) - sin(3*t))},t)  is quite complex. The reason is that the eliminate command  deals with transcendental functions sin and cos.  " width="576" height="58" align="middle"&gt;&lt;br&gt; &lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/ec436c89510927ce2a3686ad3e37aff7.gif" alt="Without*loss*of*generality*we*may*put*a = 1." width="267" height="23"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;&amp;nbsp;Next, we expand the equations. Then we change &lt;/span&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/2804a8df5b6ac3436a11f49545df1c68.gif" alt="cos(t) = a, sin(t) = b, taking*into*account*the*identity*a^2+b^2 = 1." width="395" height="27"&gt;&lt;/p&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -42;" src="/view.aspx?sf=141215/449551/20874889e7a1cd16bf21eabe8a04931f.gif" alt="sys := {x = 3*cos(t)-expand(cos(3*t)), y = 3*sin(t)-expand(sin(3*t))}; -1; sys1 := eval({x = 3*cos(t)-expand(cos(3*t)), y = 3*sin(t)-expand(sin(3*t))}, [cos(t) = a, sin(t) = b])" width="576" height="59" align="middle"&gt;&lt;/p&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/c76d475b122f597e56013e7c4291fcce.gif" alt="{x = 6*a-4*a^3, y = 4*b-4*b*a^2}" width="202" height="27"&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;(1)&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/7c65075a990123868769a8a41f4dfacb.gif" alt="sys2 := `union`(sys1, {a^2+b^2 = 1})" width="208" height="27"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/68b501c404956c74799c62de827dd66a.gif" alt="{x = 6*a-4*a^3, y = 4*b-4*b*a^2, a^2+b^2 = 1}" width="278" height="27"&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;(2)&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;Now we operate with a polynomial system. &lt;/span&gt; &lt;br&gt; &lt;img style="vertical-align: -24;" src="/view.aspx?sf=141215/449551/28dafe13b718c62263778614b40808b4.gif" alt="eliminate(sys2, {a, b})[2]" width="576" height="41" align="middle"&gt;&lt;/p&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;img style="vertical-align: -90;" src="/view.aspx?sf=141215/449551/649e058fcb354fe264e76837741a3891.gif" alt="{(4096-48*y^8*x^2-3*y^10*x^2+6*y^8*x^4+468*y^4*x^4-96*y^4*x^6-192*y^4-416*y^6+12*y^10-12*y^8+3840*x^4+y^12-1280*x^6-3840*y^2*x^2-672*y^4*x^2-120*y^6*x^2-6144*x^2+3072*y^2+x^12-24*x^10+84*y^6*x^4-7*y^6*x^6+1920*x^4*y^2-3*y^2*x^10+60*y^2*x^8-480*y^2*x^6+6*y^4*x^8+240*x^8)*(x^6-12*x^4+48*x^2-64+3*x^4*y^2-24*y^2*x^2-60*y^2+3*y^4*x^2-12*y^4+y^6)}" width="546" height="111" align="middle"&gt;&lt;/p&gt;
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&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;(3)&lt;/td&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;It is not yet &amp;nbsp;the &amp;nbsp;end &lt;/span&gt; &lt;br&gt; &lt;img style="vertical-align: -60;" src="/view.aspx?sf=141215/449551/002bfae5d854d5188a9e95bafe7c8eb3.gif" alt="because this is not a happy end. Let's compare the plots:    plot([(3*cos(t) - expand(cos(3*t))),  (3*sin(t) -expand( sin(3*t))), t=0..2*Pi])  " width="576" height="77" align="middle"&gt;&lt;br&gt; &lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/6859a25ee32af2ddfb8c3f07b83c2be5.gif" alt="``" width="11" height="23"&gt;&lt;/p&gt;
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&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;a href="http://www.maplesoft.com/support/faqs/MapleNet/redirect.aspx?param=plot_java_14206"&gt;&lt;img style="border: none;" src="/view.aspx?sf=141215/449551/8a1b2786dad81c39b51e28d735e99a4b.gif" alt="" width="400" height="400" align="middle"&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=141215/449551/2a993397bdde802feed12b9de295546d.gif" alt="plots:-implicitplot(op(eliminate(sys2, {a, b})[2]), x = -3 .. 3, y = -5 .. 5, numpoints = 10^5)" width="539" height="27"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;a href="http://www.maplesoft.com/support/faqs/MapleNet/redirect.aspx?param=plot_java_14206"&gt;&lt;img style="border: none;" src="/view.aspx?sf=141215/449551/e11a567c8a0a637e1735e3b503c0b421.gif" alt="" width="400" height="400" align="middle"&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;The curve under consideration is described only by&lt;/span&gt; &lt;br&gt; &lt;img style="vertical-align: -49;" src="/view.aspx?sf=141215/449551/f5bc875916c15d30350ab4c239644f29.gif" alt="the*factor*x^6-12*x^4+48*x^2-64+3*x^4*y^2-24*y^2*x^2-60*y^2+3*y^4*x^2-12*y^4+y^6; plots:-implicitplot(x^6-12*x^4+48*x^2-64+3*x^4*y^2-24*y^2*x^2-60*y^2+3*y^4*x^2-12*y^4+y^6, x = -3 .. 3, y = -5 .. 5, numpoints = 10^4)" width="576" height="70" align="middle"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;a href="http://www.maplesoft.com/support/faqs/MapleNet/redirect.aspx?param=plot_java_14206"&gt;&lt;img style="border: none;" src="/view.aspx?sf=141215/449551/c93432de008c137320dc0a0db0e5b1c0.gif" alt="" width="400" height="400" align="middle"&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;The end.&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;input type="hidden" name="sequence" value="1"&gt; &lt;input type="hidden" name="cmd" value="none"&gt;&lt;/form&gt;
&lt;p&gt;&lt;br&gt; &lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=141215/449551/eliminate.mw"&gt;Download eliminate.mw&lt;/a&gt;&lt;/p&gt;</description>
      <guid>141215</guid>
      <pubDate>Fri, 07 Dec 2012 20:15:28 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
    <item>
      <title>Another way</title>
      <link>http://www.mapleprimes.com/questions/141207-How-To-Convert-A-Parametric-Equations?ref=Feed:MaplePrimes:how to convert a parametric equations back to in terms of x and y with maple?:Comments#answer141223</link>
      <itunes:summary>&lt;p&gt;&lt;strong&gt;restart;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;with(RealDomain):&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;sys := {x = expand(a*(3*cos(t) - cos(3*t))), y = simplify(expand(a*(3*sin(t) - sin(3*t))))};&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;subs(sin(t)=solve(sys[2], sin(t)), subs(cos(t)=sqrt(1-sin(t)^2), sys[1]));&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;eq:=subs(y=abs(y), simplify(lhs(%)^2=rhs(%)^2)) ;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;a:=1:&amp;nbsp;&amp;nbsp; plots[implicitplot](eq, x=-4..4, y=-4..4, thickness=2, numpoints=10000);&lt;/strong&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;&lt;strong&gt;restart;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;with(RealDomain):&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;sys := {x = expand(a*(3*cos(t) - cos(3*t))), y = simplify(expand(a*(3*sin(t) - sin(3*t))))};&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;subs(sin(t)=solve(sys[2], sin(t)), subs(cos(t)=sqrt(1-sin(t)^2), sys[1]));&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;eq:=subs(y=abs(y), simplify(lhs(%)^2=rhs(%)^2)) ;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;a:=1:&amp;nbsp;&amp;nbsp; plots[implicitplot](eq, x=-4..4, y=-4..4, thickness=2, numpoints=10000);&lt;/strong&gt;&lt;/p&gt;</description>
      <guid>141223</guid>
      <pubDate>Fri, 07 Dec 2012 22:55:22 Z</pubDate>
      <itunes:author>Kitonum</itunes:author>
      <author>Kitonum</author>
    </item>
    <item>
      <title>Comparison with the answer by Preben</title>
      <link>http://www.mapleprimes.com/questions/141207-How-To-Convert-A-Parametric-Equations?ref=Feed:MaplePrimes:how to convert a parametric equations back to in terms of x and y with maple?:Comments#comment141216</link>
      <itunes:summary>&lt;p&gt;&lt;img 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wVgZ5dTpJRK7L7+ugeV6N1NgYkCcfbPP/9cX1+bNjYVGkRexyiRZgeBjcczecgeZ7uJKfXtJQ6QEWekNCMmHDRG9jjr9/u/f/9uuhZgFmKcBUFw/EVoPJOM1HH233//7ddEbJycs0TNJHqWKCnOyJvylVtFEwSROs5ubm4k2Qz44eHh5uaG/niD+v1+zvYAqttd43g8Lrneb1pWOYQ4y9xiFI1nEpE6ztrt9nq9broWcRRF5+fnp4sxZB1v0Ha7rbR4pCLCMOSycklWOadxhjRTgtRxJslmiL7vE5dRyzreoOl0Oh6PBZ9kv8KsoBEKVOUPh0OWsTuZZZ6Ws//S1C4H3vEuNJbQewClyBtnYRj+9ddfTdcijvntTlAD13UXi4XQU7yOuErua9BA+Uy7CuSUiT03dSJvnC0Wi+vr66ZrwXnvKNE6nU59g1pEDyEtKr/Mnk+kMmvYOwrqIW+czWaz4XDYdC147+wpUhRFojfcTWPeKZ1v+aV25CSUWcPOnlAPxFkBxn3XmzSfz8U3nCXsX+EaKr/MfumkMmvYdx3qgTgr8P79e+LOTFnHGzQajUQ3nCVldvbVVb7ruq1Wq3qZJcoBOZkRZxUGO75584Y49i3reIN6vV4URczflrOzZ+43CX3PpCnf9/2zs7PqZbKWA9IyIM52m9WWjTPLsmazGf1xTqg2Kk6KomgwGLCf6JD09JmfGJZV+AjFfCH05fu+vx9YW6VMpnJAZvL+X+T6spm1gFUxVeLs4eHBdV32EyXuTGDTDKN6+etA+0DHfCH05dPHUH6ZiDNtyPt/UZI44/ayufuV6h7GP+XWiDkFvnz5Um7ez34oVk4/4msc2AFzZ2bRhbDdlpT8l0T6OuNlUxuIswJcuwJ2bzw0kcAcZ71er+ykn5fGs4w6Jd9B6Z7fUmguhP62pGQ34bPVGV0B2kCcFWAcqPEz9VqTmDW9s/S6Gb9chG886Hj5ozw3m03uVM38Wi0927YzVmBN3zjysobVLyT7tuTJGmDBWmcM1NAG4qwA52G0NIEQx4UPNbPZ7Pr6erVa7f45nU7v7++ZK5OuUGCfPKId1Za28kl0j5llSs4Y/speZwyj1QbirADfSU6B16XrPixIgfV6fXt7u18MznGckgvmpLozj+9SOgrKjXahijPq25JCnJxUos6Y5KQNxFkxXlPQd+OeXpqIAjv35ao4Bdbr9du3bx8fH+M4HgwGZRvOEpOyT1qZjno9LavrLZdLtttYfCEst+Uga+o4a50xBV0ntcQZ4W/kvus8M2W4xdlhmGjJGYa+749GI/rjp06774qqQvVQ47puv99/fn6utMZZzjDa1Do4qYuglnch7LflwHEc8gJBjHXOLAcUJD7OCKNYD8OzCe01rySZ5BTHcRRFrVbr+fmZ8nhtoih69+7deDyWbbqVaGEYXl5eclm+kUs5IIl6XjaP+pqONl8l//GUJ87iOJ5MJsSG/6zjtXFd9+zsbPfKaY7xeMxlhhmvckASTcTZ8UeyP53tyLn1yWaz4bLMtFpEb30Cimo6zrLHTsoWZwAguWbjLG/dhNw4KxitmjOQM+e7WL8XgIjtlwP4aTLO8heBwdMZADBpLs6KdvRCnAEAk4biLPVgRh46iTgDACbi4+x0FGtw3PBFfOVEnAEAE3mbLXnHmeht1ACgYabE2e4ZEXEGoDEz4mzp2V6ApzMAvZkQZ7u9FfGyyUGFVbYBhNM/zl4HhCDOKqq4yjaAcLrH2WEQCOKsEvZVtgHqpnmcnYwJqbCKo8k4rLINIJzmcZaAp7PyeKyyDSAc4gyK8VhlG0A4xBlQ4LDKNoBw5sQZAGgOcQYAmkCcAYAmEGcAoAnEGQBoQt44WywWnz59aroWAKAMeeMsDMOrq6umawEAypA3zuI4vry8bLoKAKAMqeOs3W5vt9umawEAapA6zm5ubmazWdO1AAA1SB1ni8UCnZsAQEnqOIvjuNPpPD09NV0LAFCA7HG2WCza7XYURU1XBABkJ3ucxXHsuq7jOE3XAgBkp0CcxXF8d3f377//Nl0LAJCaGnEGAFAIcQYAmkCcAYAmEGcAoAnEGQBoAnEGAJpAnAGAJhBnAKAJxBkAaAJxBgCaQJwBgCYQZwCgCcQZAGgCcQYAmkCcAYAmEGcAoAnEGQBoAnEGAJpAnAGAJhBnAKAJ1eJs6XWtrrdsuhoAIB+l4iywLcuyEGcAQKJUnMVxHAc24gwASBBnhnp50rXsILAtO2i6OgAcIM4MlGyADGwLaQaaQJwZJ30Hl14X9xM0gTgzzFF8Ic1AI4gzs6TjC8NeQCuIM7Mkbt+uM6DrLZdL3E/QglJxtvS6lvXaIdd0ZRR1uId2cEi0pmsFwINScQYAkA1xBgCaQJwBgCYQZwCgiTrj7KdtZet4T8T6UavyvQBEon8lgC/8DwMATSDOAEATiDPQWdao62UQpOZGWBbG32kAcQba2uUUKaWWnhfs/9P2li9fjMHZilMqzl7X6MLfUaBEnmKfSLODwMaPlerUibOl13354xnYFmY5ARVinJHSjJhwoBhl4uy4sQN/SYECMc6CIDj+Ijz0a0GZOEupth70t2/fmI6DOHd3d0LLIcVZ4BE7B/A3Un1KxlmVNHt4eLi5uaE/3qB+v9/I2NF67K5xPB7/+vWr+r3KKocQZ+Q0i9F4pgEF4+zQiMYsiqLz8/MwDCmPN2i73fb7/aZrIVwYhh8+fPjz54+gck7jDGmmMeXirEKYxbHv+47j0B9v0HQ6HY/Hgk+yX/xMUMcKVfnD4XAymVQv87Sc/ZemFuBNN/mn1n8DxSkWZxX/gnY6nacnwtzQrOMNcl13sVgIPcXriKs4sIU0g1OWP5/Pr66uqpfJVA5oSaU4Sz2YBTbrX9MwDDudDv3xZnU6ne12W9PJRA8hLSq/1Wox/zkhlVmmHNCIMnEWHC/Hwfzrd39/T3yjzDreoCiKPn78WOMJRW8dXFD+YDBg71YmlFmqHNCHMnFW3WAw+Pr1K/3xBs3nc/ENZwn7V7iGyncchzm+SWWWKQc0YlCcvX//3vd9+uMNGo1GohvOkjI7++oq33XdVqtVvcwS5YBODIqzN2/eTKdT+uMN6vV6URQxf9uhl46hYb9SVzGn8n3fPzs7q14mazmgGYPizLKs2WxGf5yTn7Zl/2T5hiiKBoMB+4kOw9rpB7gnhmUVPkIxXwh9+b7vW9RLv+aUyVQO6Meg//eqxNnDw4PruuwnOtoRuPiRK927Uph/zBdCXz59DOWXiTgznEH/77m9bKY22w3sgl9V5hT48uVLuXk/+6FYOf2Ir3FgB8ydmUUXwnZbUvJfEunrjJdNwxkUZ1y7AnZvPDSRwBxnvV6v7KSfl8azjDol30Hpnt9SaC6E/rakZDfhs9UZXQGGMyjOGAdqEPadSn689LoZv1xlNqza22w2uVM182u19GzbzliBNb3MNHlZw+oXkn1b8mQNsGCtMwZqGM6gOOM8jJYmEOK48KFmNptdX1+vVqvdP6fT6f39PXNl0hUirG95VFvayifRPWaWKTlj+Ct7nTGM1nAGxRnfSU6B16XrPixIgfV6fXt7+/nz590/HccpuWBOqjvzeMePdBSUW9qLKs6ob0sKcXJSiTpjkpPhDIqzmN8U9N24p5cmooLZo8UpsF6v3759+/j4GMfxYDAo23CWmJR90sp01OtpWV1vuVyyhU7xhbDcloOsqeOsdcYUdDArznzfH41G9MdPnXbfFbUUUT3UuK7b7/efn58rrXGWM4w2tQ5O6iKo5V0I+205cByHvEAQY50zywFjmBVnURS1Wq3n52fK47WJoujdu3fj8Vi26VaihWF4eXnJZflGLuWA0syKsziOJ5MJseE/63htXNc9OzvbvXKaYzwec5lhxqscUJpxcRbLuvXJZrPhssy0WkRvfQJGMTHOAEBLiDMA0ATiDAA0gTgDAE0gzgBAE4gzANAE4gxAXseTb18tgyA1nbXMNA8NIc54+vHjB+bZAC+7nCKlVGIv99cdrUTvlaoExBk3//zzz/X1tWnjYEEo8qpIiTQ7CGw8niHO+Hh8fGy32/XtWw5mIMYZKc2ICWccxBkf/X7/9+/fTdcCdEOMsyAIjr8IjWdxHCPOuPjvv//26y/WQM45p2YSPeeUFGfkLf7KrcmpGcQZBzc3N7Ut5/Dw8HBzc0N/vEH9fj9nswHV7a5xPB6XXD04LascQpxlbliKxjPEGQ/tdnu9XtdwoiiKzs/PwzCkPN6g7XZbaSlKRYRhyGUdlKxyTuMMaZYDccbBxcVFPSfyfZ+4KFvW8QZNp9PxeCz4JPv1agWNUKAqfzgcsozOySzztJz9l6b2TPCO97SxhN4DpSDOqgrD8K+//qrnXLz2OqiB67qLxULoKV5HXCV3SWigfKY9CnLKxF4H1SHOqlosFtfX1zWciO9OVKJ1Op36hq2IHkJaVH6ZHaRIZWInqooQZ1XNZrPhcFjDiTjvEypSFEX1bt/LvO863/JL7e9JKBP7hFaEOKuqtjhj3MW9SfP5XHzDWcL+Fa6h8svsvk4qE7u4V4Q4q6q2OHv//j1xn6es4w0ajUaiG86SMjv76irfdd1Wq1W9zBLlQJJqcSbfYEG2OKtQ/zdv3hBHt2Udb1Cv14uiiPnbcvYJzf0moe+ZNOX7vn92dla9TNZy4IhScbbbOlbdOKtWf8uyZrMZ/XFOqLY9ToqiaDAYsJ/okPT0mZ8YllX4CMV8IfTl+76/H1hbpUymcuCUcvcuawGoxjC+bJavvypx9vDw4Lou+4kSdyawaYZRvfx1oH2gY74Q+vLpYyi/TMRZRcrdO3PjjNvL5u5XqnsY/5RbI+YU+PLlS7l5P/uhWDn9iK9xYAfMnZlFF8J2W1LyXxLp64yXzYoQZ1XVFmdcuwJ2bzw0kcAcZ71er+ykn5fGs4w6Jd9B6Z7fUmguhP62pGQ34bPVGV0BFSHO4l6vxzL1+PiO1RZnjAM1ftq5NV963YxfLsI3HnS8/FGem80md6pmfq2Wnm3bGSuwpm8ceVnD6heSfVvyZA2wYK0zBmpUZHqcbbfbilOUaoszzsNoaQIhjgsfamaz2fX19Wq12v1zOp3e398zVyZdocA+eUQ7qi1t5ZPoHjPLlJwx/JW9zhhGW5HpcTadTkejUZUSaoszvpOcAq9L131YkALr9fr29na/3JvjOCUXzEl1Zx7fpXQUlBvtQhVn1LclhTg5qUSdMcmpItPjbDQaVVyvqrY4i/lNQd+Ne3ppIgrs3Jer4hRYr9dv3759fHyM43gwGJRtOEtMyj5pZTrq9bSsrrdcLtluY/GFsNyWg6yp46x1xhT06pSKs8Mwy4LmjcQXFnwpud2aZeEZhjijrn8W3/eJz5JZx0+ddt8VVYXqocZ13X6///z8XGmNs5xhtKl1cFIXQS3vQthvy4HjOOQFghjrnFkOUGswzsoMa2RR3JG0Xq9JLa/7dfCous9qm+QUx3EURa1W6/n5mfJ4baIoevfu3Xg8lm26lWhhGF5eXnJZvpFLOYYzOs4mkwlhwGfihYCmx77OOIvjeDKZEBv+s47XxnXds7Oz3SunOcbjMZcZZrzKMZzRcXZ7e5s3np5u+FHNcRbLuvXJZrPhssy0WkRvfQJMjI6zfr+fNVP6ZSS3lHEGAER1xlmZYY0533Hk5FsL4iyKooIYWnpdigbn/DirUH+G7wUgyv/R1Y9BT2enAz4Ln/BpBgvh6QxAEgbF2dGAT6qZ0hTNZ4gzAEkYFGdxesAnxUxpqh01EGcAktAzznKG0e4GfG42m8y5voklqWiGUiLOACShVGPhPmgqTHPaDfi8vb3lNeCTfTVa2dbTBdCEOnF2WF+dsOACk92Az32fQEW0ccav/gBApEycLYOg4ooKe7sBn3yqRR1nHOsPAETKxFmK6F1iWZRpO5Op/oqqsMo2aEvJOJPqB7hEnElVfwVVXGUbtKVgnIneWJERc5xJVn/lsK+yDaZQLs6kCwPGOJOu/orhsMo2aJIetZMAACAASURBVEuxONsvRSYPpjiTsP5q4bHKNmhLpThLPdhQr30sGn2cyVl/tfBYZRu0pUycBcfLcciSBpRxJm39FcNhlW3QljJxJi1McgKQBOKsKsQZgCQQZ1UhzgAkgTirCnEGIAnEWVWIMwBJIM6qWiwWnz59aroWAIA4qywMw6urq6ZrAQCIMx4uLy+brgIAIM54aLfb2+226VoAmA5xxsHNzU3ebuoAUAvEGQeLxQKdmwCNQ5zx0el0np6I+7gDQE0QZ3wsFot2ux1FUdMVATAX4owb13Udx2m6FgDmQpzxdHd39++//zZdCwBDIc4AQBOIMwDQBOIMIMt+6VssHawGxBkA2dKzd8t2BzZW8FYD4gygyNLr4gFNBYgzgELYt14NiDOAIvvXTpAb4gxM8ffff//+/Zv1oziOAw9hpgbEGZhitVpdXl6uViumj1KbPYPcEGdgkPl8fnFxQVycjvjR0uvuN13HI5r8EGdgFsdx7u7uaD5Kb1yPkRoKQJyBWTabzYcPH/78+cP0ESgBcQbGGQ6H8/mc9SOQH+IMjHN/f//9+3fWj0B+iDMwzo8fP7K2Rs35COSHOAPjzOfzrK1Rcz4C+SHOwDir1eri4oL1I5Af4gyMs1qtzs/PWT8C+SHOwDiIM10hzsA4iDNdIc7AOIgzXSHOwDiIM10hzsA4iDNdIc4U9jpH2g6wWioLYXEmeqsUabdikaViiDNFLb3ufpGHwG7850gpguJM9FYp0m7FIk/FEGdKCuzkj01iVS6gIPxlU/RWKdJuxdJ0xRBnCjqKL6QZI/FtZ6Jf/qVtXGi4Yogz9aTjK/nWCVRqeDoTu1WKtFuxNF0xxJl6Em+au86ArrdcLqX88ZaT6DgTvQ63tOt8N14xxJmC9v1Ilh0cEq3pWqlDaJyJ3iqFc/mZD/cvP2T0P1gy7BGDOAPjiIszlq1SftqW/VNg+RReRvqcRNbS6zL+hZRkjxjEGRhHUJwxbpXCHGditmJJd5K/nofpOUuePWIQZ2AcjnFWYSRzQZwdPzmdxg4fx+Uuva5l2/vLKqieZEO4EWdgHE5xVnEkM8XTWbphS8xb3FGcBbZl2XYQxDmvnPIO4a4zzn6mnkmPdLwnYv0Aqjn9oeISZ+wjmUv8/CdPQtMYx1o+6TqSAUrKKpmHcOPpDIzDIc44jGSmaTs75MnS88Q8A+XFGaHbU+4h3IgzME71OOMxkpkmzl4nDQkcnkp62XwNztM5S5IP4UacgeyyGsGXQZD6xbIsym616nHGYyQzbZx1Pc8WmBmkroCXDCPceMmHcCPOQGq7nCI3SHuHp4jdwwvlDGg+L5svjVKlRzJTDdQIbEtgU/vhKlLn2A+8IJxY7iHciDOQHbl9htiYFFA9xyi0fGPj04bUgjgD2RHjjJRmtM3lssfZywU3vdqOghBnIDtinAVBcPxF1I1nssdZ1twjKKJqnH379o3pOIhzd3cntBxSnJFfwih72mSPMyhLyTh7eHi4ubmhP96gfr9PO9xTQbtrHI/Hv379qn6vssohxFlmkxJV4xniTFfqxVkURefn52EYUh5v0Ha77ff7TddCuDAMP3z48OfPH0HlnMZZtTRDnGlLvTjzfd9xHPrjDZpOp+PxWPBJpNg9aDgcTiaT6mWelrP/0tToTe94bKfFcg8QZ7pSL846nc7TE2H+WdbxBrmuu1gshJ5Ckt2D5vP51dVV9TKZyikNcaYrxeIsDMNOp0N/vFmdTme73dZ0sqZ3D2q1Wsx/TkhllimHEeJMV4rF2f39PfGNMut4g6Io+vjxY40nbHj3oMFgwN6tTCizVDlsEGe6UizOBoPB169f6Y83aD6fi284S2h69yDHcZjjm1RmmXIYIc50pVicvX//3vd9+uMNGo1GohvOkhrfPch13VarVb3MEuWwQpzpSrE4e/PmzXQ6pT/eoF6vF0UR87cdeukYGvZl2D3I9/2zs7PqZbKWUwLiTFeKxZllWbPZjP44J8y7VERRNBgM2E90GNZOv5SUJLsH+b5vkZZ+ZS2TqZxyEGe6QpzRYE6Bh4cH13XZT3S0nFTxI5c8uwfRx1B+mYgzKE2xOOP2splaqSmwC35VmVPgy5cv5eb97Idi5fQjits9iPG2pOS/JNLXuYaXzaenp4uLC9aPQH6KxRnXroDdGw9NJDDHWa/XKzvp56XxLKNO4ncPYrgtKdlN+Gx1rqErIGewbj3jeEEQxeKMcaAGYW+b5MeJdYSLv/Egc1OcF5vNJneqZn6tlp5t2xkrsNaye1DObcmTNcCCtc41DNSYTCafPn1i/Qjkp1iccR5GS7sPTcFDzWw2u76+Xq1Wu39Op9P7+3vmyqQrRFhVuabdg0puz0Me/spe5xqG0d7d3X3//p31I5CfYnHGd5JT4HXpug8LUmC9Xt/e3n7+/Hn3T8dxSi6Yk+rOJOxJUcvuQfS3JYU4OalEnWuY5DQcDufzOetHID/F4izmNwV9N+7ppYkosHNfropTYL1ev3379vHxMY7jwWBQtuEsMSn7pJWpnt2DWG7LQVaTE2uda2i62m63WcsZ5XwESlAvznzfH41G9MdPnXbfFbUUUT3UuK7b7/efn58rrXGWM4xW8O5B7LflwHEc8gJBjHXOLIcfx3Gyeo1yPgIlqBdnURS1Wq3n52fK47WJoujdu3fj8di0X4kwDC8vL7ks38ilnBy7pz/iKXI+AlWoF2dxHE8mE2LDf9bx2riue3Z2tnvlNMd4POYyw4xXOVkeHx/b7TZxveKcj0AhSsZZLOvWJ5vNxsDGF9Fbn/AyHA6zAivnI1CIqnEGAHAEcQYAmkCcAYAmEGcAoAnEGQBoAnEGAJpAnAFI4XiO7qtlEKRmvZaZDWIKxFmmHz9+iJ5wA7CzyylSSiW2fH/d+Er0lqrqQpyR/fPPP9fX16YNiIUGkRdPSqTZQWDj8YwIcUawm/JS3wbmABlxRkozYsJBHCPOiPr9/u/fv5uuBZiFGGdBEBx/ERrPsiHOjv3333/7hRgbJ+fUVDOJnppKijPyToDllu40AeLs2M3NjSQ7ED88PNzc3NAfb1C/38/Zk0B1u2scj8clFxlOyyqHEGeZ+5qi8YwMcXas3W6v1+umaxFHUXR+fn66zEPW8QZtt9tKK1YqIgxDLsulZJVzGmdIM1aIs2OSbLPo+z5x7bas4w2aTqfj8VjwSfbL2goaoUBV/nA4ZBm7k1nmaTn7L01treAdb31jCb0H6kOcpYRh+NdffzVdizjmtyVCDVzXXSwWQk/xOuIquZlCA+UzbWWQUyZ28xQEcZayWCyur6+brgXnDatE63Q69Q1qET2EtKj8MhtNkcqsYcMqAyHOUmaz2XA4bLoWvLcTFSmKItG7/KYxb8/Ot/xS24ASyqxhO1EDIc5SJIkzxs3emzSfz8U3nCXsX+EaKr/MJu2kMmvY7N1AiLMUSeLs/fv3xO2gso43aDQaiW44S8rs7KurfNd1W61W9TJLlAOFEGcpPOOswmDHN2/eEMe+ZR1vUK/Xi6KI+dtythPN/Sah75k05fu+f3Z2Vr1M1nKABuIshVuc7XbILRtnlmXNZjP645xQ7Y6cFEXRYDBgP9Eh6ekzPzEsq/ARivlC6Mv3fX8/sLZKmUzlACXc0BSuL5tZC1gVUyXOHh4eXNdlP1HizgQ2zTCql78OtA90zBdCXz59DOWXiTgTQa0bKnospSxxxu1lc/cr1T2Mf8qtEXMKfPnypdy8n/1QrJx+xNc4sAPmzsyiC2G7LSn5L4n0dcbLpggqxZnosZSxNHHGtStg98ZDEwnMcdbr9cpO+nn5y5RRp+Q7KN3zWwrNhdDflpTsJny2OqMrQASV4uxA2FhKSeKMcaDGz9RrTWLW9M7S62b8chG+8aDj5Y/y3Gw2uVM182u19GzbzliBNX3jyMsaVr+Q7NuSJ2uABWudMVBDBDXjTNhYSknijPMwWppAiOPCh5rZbHZ9fb1arXb/nE6n9/f3zJVJVyiwTx7RjmpLW/kkusfMMiVnDH9lrzOG0YqgZpwJG0spSZzxneQUeF267sOCFFiv17e3t/vF4BzHKblgTqo78/gupaOg3GgXqjijvi0pxMlJJeqMSU4iKBln4sZSShJnMb8p6LtxTy9Ps4Gd+0xbnALr9frt27ePj49xHA8Gg7INZ4nGz5NWpqNeT8vqesvlku02Fl8Iy205yJo6zlpnTEEXRL04ox1LSfgbue86z0wZbnF2GCZa8q3Y9/3RaER//NRp911RVagealzX7ff7z8/PldY4yxlGm1oHJ3UR1PIuhP22HDiOQ14giLHOmeVANQ3GmcCxjqRRrIcYJLTXvJJkklMcx1EUtVqt5+dnyuO1iaLo3bt34/FYtulWooVheHl5yWX5Ri7lwCmV4oxxLOVRX9PR5qvkb5cnzuI4nkwmxIb/rOO1cV337Oxs98ppjvF4zGWGGa9y4JTEcVZhrOPr92d9Q2bHqFRxFsu69clms+GyzLRaRG99AtVJHGdxXHqsYxzHeXGWXZ5scQYA9OqMs/rGOsZxnB1neX0JuXFWMFo15+Jyvov1ewGI2H45NCX501nJsY5xHGfFWX7HKJ7OANQle5yVG+u4+1ZCnBXt6IU4A1CX1HFWbqzjq5M4Sz2YkYtDnAGoS9I4oxzrmPnJ6SjW4LjhixiOiDMAdWnQgshzyhPvOBO9jRoAHKgdZxX6Pcn4xtnuGRFxBlAPteOMO75bn9hegKczgNogzlL4xdluDSO8bHJQYZVtMAviLIVXnL0OCEGcVVRxlW0wC+IshU+cHQaBIM4qYV9lG4yGOEvhEmcnY0IE7dOiOw6rbINZEGcpGKghDx6rbINZEGcpiDN58FhlG8yCOEtBnEmEwyrbYBbEWQomOQGoC3GWgjgDUBfiLAVxBqAuxFkK4gxAXYizFMQZgLoQZymLxeLTp09N1wIAykCcpYRheHV11XQtAKAMxNmxy8vLpqsAAGUgzo612+3tdtt0LQCAGeLs2M3NzWw2a7oWAMAMcXZssVigcxNARYgzgk6n8/RE3JQdAOSFOCNYLBbtdjuKoqYrAgAMEGdkrus6jtN0LQCAAeIs093d3b///tt0LQCAFuIMADSBOAMATSDOAEATiDMA0ATiDAA0gTgDAE0gzgBAE4gzANAE4gwANIE4AwBNIM4AQBOIMwDQBOIMADSBOAMATSDOAEATiDMA0ATiDAA0gTgDAE0gzgBAE4gzANCEanG29LpW11s2XQ0AkI9ScRbYlmVZiDMAIFEqzuI4jgMbcQYAJIgzQ7086Vp2ENiWHTRdHQAOEGcGSjZABraFNANNIM6Mk76DS6+L+wmaQJwZ5ii+kGagEcSZWdLxhWEvoBXEmVkSt2/XGdD1lssl7idoQak4W3pdy3rtkGu6Moo63EM7OCRa07UC4EGpOAMAyIY4AwBNIM4AQBOIMwDQRJ1x9tO2snW8J2L9qFX5XgAi0b8SwBf+hwGAJhBnAKAJxBnoLGvU9TIIUnMjLAvj7zSAOANt7XKKlFJLzwv2/2l7y5cvxuBsxSkVZ69rdOHvKFAiT7FPpNlBYOPHSnXqxNnS67788QxsC7OcgAoxzkhpRkw4UIwycXbc2IG/pECBGGdBEBx/ER76taBMnKVUWw/627dvTMdBnLu7O6HlkOIs8IidA/gbqT4l46xKmj08PNzc3NAfb1C/329k7Gg9dtc4Ho9//fpV/V5llUOIM3KaxWg804CCcXZoRGMWRdH5+XkYhpTHG7Tdbvv9ftO1EC4Mww8fPvz580dQOadxhjTTmHJxViHM4tj3fcdx6I83aDqdjsdjwSfZL34mqGOFqvzhcDiZTKqXeVrO/ktTC/Cmm/xT67+B4hSLs4p/QTudztMTYW5o1vEGua67WCyEnuJ1xFUc2EKawSnLn8/nV1dX1ctkKge0pFKcpR7MApv1r2kYhp1Oh/54szqdzna7relkooeQFpXfarWY/5yQyixTDmhEmTgLjpfjYP71u7+/J75RZh1vUBRFHz9+rPGEorcOLih/MBiwdysTyixVDuhDmTirbjAYfP36lf54g+bzufiGs4T9K1xD5TuOwxzfpDLLlAMaMSjO3r9/7/s+/fEGjUYj0Q1nSZmdfXWV77puq9WqXmaJckAnBsXZmzdvptMp/fEG9Xq9KIqYv+3QS8fQsF+pq5hT+b7vn52dVS+TtRzQjEFxZlnWbDajP87JT9uyf7J8QxRFg8GA/USHYe30A9wTw7IKH6GYL4S+fN/3LeqlX3PKZCoH9GPQ/3tV4uzh4cF1XfYTHe0IXPzIle5dKcw/5guhL58+hvLLRJwZzqD/99xeNlOb7QZ2wa8qcwp8+fKl3Lyf/VCsnH7E1ziwA+bOzKILYbstKfkvifR1xsum4QyKM65dAbs3HppIYI6zXq9XdtLPS+NZRp2S76B0z28pNBdCf1tSspvw2eqMrgDDGRRnjAM1CPtOJT9eet2MX64yG1btbTab3Kma+bVaerZtZ6zAml5mmrysYfULyb4tebIGWLDWGQM1DGdQnHEeRksTCHFc+FAzm82ur69Xq9Xun9Pp9P7+nrky6QoR1rc8qi1t5ZPoHjPLlJwx/JW9zhhGaziD4ozvJKfA69J1HxakwHq9vr29/fz58+6fjuOUXDAn1Z15vONHOgrKLe1FFWfUtyWFODmpRJ0xyclwBsVZzG8K+m7c00sTUcHs0eIUWK/Xb9++fXx8jON4MBiUbThLTMo+aWU66vW0rK63XC7ZQqf4Qlhuy0HW1HHWOmMKOpgVZ77vj0Yj+uOnTrvvilqKqB5qXNft9/vPz8+V1jjLGUabWgcndRHU8i6E/bYcOI5DXiCIsc6Z5YAxzIqzKIpardbz8zPl8dpEUfTu3bvxeCzbdCvRwjC8vLzksnwjl3JAaWbFWRzHk8mE2PCfdbw2ruuenZ3tXjnNMR6Pucww41UOKM24OItl3fpks9lwWWZaLaK3PgGjmBhnAKAlxBkAaAJxBgCaQJwBgCYQZwCgCcQZAGgCcQYgr+PJt6+WQZCazlpmmoeGEGc8/fjxA/NsgJddTpFSKrGX++uOVqL3SlUC4oybf/755/r62rRxsCAUeVWkRJodBDYezxBnfDw+Prbb7fr2LQczEOOMlGbEhDMO4oyPfr//+/fvpmsBuiHGWRAEx1+ExrM4jhFnXPz333/79RdrIOecUzOJnnNKijPyFn/l1uTUDOKMg5ubm9qWc3h4eLi5uaE/3qB+v5+z2YDqdtc4Ho9Lrh6cllUOIc4yNyxF4xnijId2u71er2s4URRF5+fnYRhSHm/QdruttBSlIsIw5LIOSlY5p3GGNMuBOOPg4uKinhP5vk9clC3reIOm0+l4PBZ8kv16tYJGKFCVPxwOWUbnZJZ5Ws7+S1N7JnjHe9pYQu+BUhBnVYVh+Ndff9VzLl57HdTAdd3FYiH0FK8jrpK7JDRQPtMeBTllYq+D6hBnVS0Wi+vr6xpOxHcnKtE6nU59w1ZEDyEtKr/MDlKkMrETVUWIs6pms9lwOKzhRJz3CRUpiqJ6t+9l3nedb/ml9vcklIl9QitCnFVVW5wx7uLepPl8Lr7hLGH/CtdQ+WV2XyeViV3cK0KcVVVbnL1//564z1PW8QaNRiPRDWdJmZ19dZXvum6r1apeZolyIEm1OJNvsCBbnFWo/5s3b4ij27KON6jX60VRxPxtOfuE5n6T0PdMmvJ93z87O6teJms5cESpONttHatunFWrv2VZs9mM/jgnVNseJ0VRNBgM2E90SHr6zE8Myyp8hGK+EPryfd/fD6ytUiZTOXBKuXuXtQBUYxhfNsvXX5U4e3h4cF2X/USJOxPYNMOoXv460D7QMV8Iffn0MZRfJuKsIuXunblxxu1lc/cr1T2Mf8qtEXMKfPnypdy8n/1QrJx+xNc4sAPmzsyiC2G7LSn5L4n0dcbLZkWIs6pqizOuXQG7Nx6aSGCOs16vV3bSz0vjWUadku+gdM9vKTQXQn9bUrKb8NnqjK6AihBnca/XY5l6fHzHaoszxoEaP+3cmi+9bsYvF+EbDzpe/ijPzWaTO1Uzv1ZLz7btjBVY0zeOvKxh9QvJvi15sgZYsNYZAzUqMj3OttttxSlKtcUZ52G0NIEQx4UPNbPZ7Pr6erVa7f45nU7v7++ZK5OuUGCfPKId1Za28kl0j5llSs4Y/speZwyjrcj0OJtOp6PRqEoJtcUZ30lOgdel6z4sSIH1en17e7tf7s1xnJIL5qS6M4/vUjoKyo12oYoz6tuSQpycVKLOmORUkelxNhqNKq5XVVucxfymoO/GPb00EQV27stVcQqs1+u3b98+Pj7GcTwYDMo2nCUmZZ+0Mh31elpW11sul2y3sfhCWG7LQdbUcdY6Ywp6dUrF2WGYZUHzRuILC76U3G7NsvAMQ5xR1z+L7/vEZ8ms46dOu++KqkL1UOO6br/ff35+rrTGWc4w2tQ6OKmLoJZ3Iey35cBxHPICQYx1ziwHqCkVZ2yKO5LW6zWp5XW/Dh5V91ltk5ziOI6iqNVqPT8/Ux6vTRRF7969G4/Hsk23Ei0Mw8vLSy7LN3Ipx3BGx9lkMiEM+Ey8END02NcZZ3EcTyYTYsN/1vHauK57dna2e+U0x3g85jLDjFc5hjM6zm5vb/PG09MNP6o5zmJZtz7ZbDZclplWi+itT4CJ0XHW7/ezZkq/jOSWMs4AgKjOOCszrDHnO46cfGtBnEVRVBBDS69L0eCcH2cV6s/wvQBE+T+6+tH4go/j7HTAZ+ETPs1gITydAUjCoDg7GvBJNVOaovkMcQYgCYPiLE4P+KSYKU21owbiDEASesZZzjDa3YDPzWaTOdc3sSQVzVBKxBmAJJSKs33QVJjmtBvweXt7y2vAJ/tqtLKtpwugCXXi7LC+OmHBBSa7AZ/7PoGKaOOMX/0BgEiZOFsGQcUVFfZ2Az75VIs6zjjWHwCIlImzFNG7xLIo03YmU/0VVWGVbdCWknEm1Q9wiTiTqv4KqrjKNmhLwTgTvbEiI+Y4k6z+ymFfZRtMoVycSRcGjHEmXf0Vw2GVbdCWYnG2X4pMHkxxJmH91cJjlW3QlkpxlnqwoV77WDT6OJOz/mrhsco2aEuZOAuOl+OQJQ0o40za+iuGwyrboC1l4kxamOQEIAnEWVWIMwBJIM6qQpwBSAJxVhXiDEASiLOqEGcAkkCcVbVYLD59+tR0LQAAcVZZGIZXV1dN1wIAEGc8XF5eNl0FAECc8dBut7fbbdO1ADAd4oyDm5ubvN3UAaAWiDMOFosFOjcBGoc446PT6Tw9EfdxB4CaIM74WCwW7XY7iqKmKwJgLsQZN67rOo7TdC0AzIU44+nu7u7ff/9tuhYAhkKcAYAmEGcAoAnEGUCW/dK3WDpYDYgzALKlZ++W7Q5srOCtBsQZQJGl18UDmgoQZwCFsG+9GhBnAEX2r50gN8QZmOLvv//+/fs360dxHAcewkwNiDMwxWq1ury8XK1WTB+lNnsGuSHOwCDz+fzi4oK4OB3xo6XX3W+6jkc0+SHOwCyO49zd3dF8lN64HiM1FIA4A7NsNpsPHz78+fOH6SNQAuIMjDMcDufzOetHID/EGRjn/v7++/fvrB+B/BBnYJwfP35kbY2a8xHID3EGxpnP51lbo+Z8BPJDnIFxVqvVxcUF60cgP8QZGGe1Wp2fn7N+BPJDnIFxEGe6QpyBcRBnukKcgXEQZ7pCnIFxEGe6QpyBcRBnukKcKex1jrQdYLVUFsLiTPRWKdJuxSJLxRBnilp63f0iD4Hd+M+RUgTFmeitUqTdikWeiiHOlBTYyR+bxKpcQEH4y6borVKk3Yql6YohzhR0FF9IM0bi285Ev/xL27jQcMUQZ+pJx1fyrROo1PB0JnarFGm3Ymm6Yogz9STeNHedAV1vuVxK+eMtJ9FxJnodbmnX+W68YogzBe37kSw7OCRa07VSh9A4E71VCufyMx/uX37I6H+wZNgjBnEGxhEXZyxbpfy0LfunwPIpvIz0OYmspddl/AspyR4xiDMwjqA4Y9wqhTnOxGzFku4kfz0P03OWPHvEIM7AOBzjrMJI5oI4O35yOo0dPo7LXXpdy7b3l1VQPcmGcCPOwDic4qziSGaKp7N0w5aYt7ijOAtsy7LtIIhzXjnlHcJdZ5z9TD2THul4T8T6AVRz+kPFJc7YRzKX+PlPnoSmMY61fNJ1JAOUlFUyD+HG0xkYh0OccRjJTNN2dsiTpeeJeQbKizNCt6fcQ7gRZ2Cc6nHGYyQzTZy9ThoSODyV9LL5Gpync5YkH8KNOAPZZTWCL4Mg9YtlWZTdatXjjMdIZto463qeLTAzSF0BLxlGuPGSD+FGnIHUdjlFbpD2Dk8Ru4cXyhnQfF42XxqlSo9kphqoEdiWwKb2w1WkzrEfeEE4sdxDuBFnIDty+wyxMSmgeo5RaPnGxqcNqQVxBrIjxhkpzWiby2WPs5cLbnq1HQUhzkB2xDgLguD4i6gbz2SPs6y5R1BE1Tj79u0b03EQ5+7uTmg5pDgjv4RR9rTJHmdQlpJx9vDwcHNzQ3+8Qf1+n3a4p4J21zgej3/9+lX9XmWVQ4izzCYlqsYzxJmu1IuzKIrOz8/DMKQ83qDtdtvv95uuhXBhGH748OHPnz+CyjmNs2pphjjTlnpx5vu+4zj0xxs0nU7H47Hgk0ixe9BwOJxMJtXLPC1n/6Wp0Zve8dhOi+UeIM50pV6cdTqdpyfC/LOs4w1yXXexWAg9hSS7B83n86urq+plMpVTGuJMV4rFWRiGnU6H/nizOp3Odrut6WRN7x7UarWY/5yQyixTDiPEma4Ui7P7+3viG2XW8QZFUfTx48caT9jw7kGDwYC9W5lQZqly2CDOdKVYnA0Gg69fv9Ifb9B8PhffcJbQ9O5BjuMwxzepzDLlMEKc6UqxOHv//r3v+/THGzQajUQ3rBBHwwAABKlJREFUnCU1vnuQ67qtVqt6mSXKYYU405VicfbmzZvpdEp/vEG9Xi+KIuZvO/TSMTTsy7B7kO/7Z2dn1ctkLacExJmuFIszy7Jmsxn9cU6Yd6mIomgwGLCf6DCsnX4pKUl2D/J93yIt/cpaJlM55SDOdIU4o8GcAg8PD67rsp/oaDmp4kcueXYPoo+h/DIRZ1CaYnHG7WUztVJTYBf8qjKnwJcvX8rN+9kPxcrpRxS3exDjbUnJf0mkr3MNL5tPT08XFxesH4H8FIszrl0BuzcemkhgjrNer1d20s9L41lGncTvHsRwW1Kym/DZ6lxDV0DOYN16xvGCIIrFGeNADcLeNsmPE+sIF3/jQeamOC82m03uVM38Wi0927YzVmCtZfegnNuSJ2uABWudaxioMZlMPn36xPoRyE+xOOM8jJZ2H5qCh5rZbHZ9fb1arXb/nE6n9/f3zJVJV4iwqnJNuweV3J6HPPyVvc41DKO9u7v7/v0760cgP8XijO8kp8Dr0nUfFqTAer2+vb39/Pnz7p+O45RcMCfVnUnYk6KW3YPob0sKcXJSiTrXMMlpOBzO53PWj0B+isVZzG8K+m7c00sTUWDnvlwVp8B6vX779u3j42Mcx4PBoGzDWWJS9kkrUz27B7HcloOsJifWOtfQdLXdbrOWM8r5CJSgXpz5vj8ajeiPnzrtvitqKaJ6qHFdt9/vPz8/V1rjLGcYreDdg9hvy4HjOOQFghjrnFkOP47jZPUa5XwESlAvzqIoarVaz8/PlMdrE0XRu3fvxuOxab8SYRheXl5yWb6RSzk5dk9/xFPkfASqUC/O4jieTCbEhv+s47VxXffs7Gz3ymmO8XjMZYYZr3KyPD4+tttt4nrFOR+BQpSMs1jWrU82m42BjS+itz7hZTgcZgVWzkegEFXjDADgCOIMADSBOAMATegQZ7e38e1t/L//NV0PAGiUDnG2g2VdAAyHOAMATSDOAEATiDMA0ATiDAA0gTgDAE0gzgBAE4gzANAE4gwANIE4AwBNIM4AQBOIMwDQBOIMADSBOAMATSDOAEATiDMA0ATiDAA0gTgDAE0gzgBAE2rF2dLrWpZlWZYdnHyGOAMwnEpxtvRsbxnHcRzYltXd/ecB4gzAcCrF2cHS6548oCHOAAynZpzFgY04A4A0NeNs/9qZgDgDMJyScRZ4J2GGOAMwnnpxtvS6hH5NxBmA8RqMs5+2Zf9k/J6l133t0jx+REOcARhOpTgLbCvheKQG4gzAcBLH2S69uoehZqdjzZIQZwCGkzjO4vj15ZIwLOMU4gzAcHXG2c/Uy+KRjvdE+p6l1yVOaTqFOAMwnORPZ6nG/3yIMwDDyR5ngdft5reZvUKcARhO6jjbDTF7aTkL7Px3TsQZgOEkjbPTXs3CBjTEGYDh1JsVkAVxBmA4xBkAaAJxBgCaQJwBgCYQZwCgCcQZAGgCcQYAmkCcAYAmEGcAoAnEGQBoAnEGAJpAnAGAJhBnAKAJxBkAaAJxBgCaQJwBgCYQZwCgCcQZAGgCcQYAmkCcAYAmEGcAoAnEGQBoAnEGAJpAnAGAJnSIs9vb+PY2/t//mq4HADTq/5BUCxOkIu+yAAAAAElFTkSuQmCC" alt=""&gt;&lt;/p&gt;
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" alt=""&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=141216/449557/screen201.docx"&gt;screen201.docx&lt;/a&gt;&lt;/p&gt;</description>
      <guid>141216</guid>
      <pubDate>Fri, 07 Dec 2012 20:18:28 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
    <item>
      <title>Comparison with one of the outputs of</title>
      <link>http://www.mapleprimes.com/questions/141207-How-To-Convert-A-Parametric-Equations?ref=Feed:MaplePrimes:how to convert a parametric equations back to in terms of x and y with maple?:Comments#comment141221</link>
      <itunes:summary>&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;img 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" alt=""&gt;&lt;/p&gt;</itunes:summary>
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&lt;p&gt;&amp;nbsp;&lt;/p&gt;
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" alt=""&gt;&lt;/p&gt;</description>
      <guid>141221</guid>
      <pubDate>Fri, 07 Dec 2012 21:59:46 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
    <item>
      <title>Output</title>
      <link>http://www.mapleprimes.com/questions/141207-How-To-Convert-A-Parametric-Equations?ref=Feed:MaplePrimes:how to convert a parametric equations back to in terms of x and y with maple?:Comments#comment141224</link>
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      <guid>141224</guid>
      <pubDate>Fri, 07 Dec 2012 23:00:20 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
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