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    <title>MaplePrimes - answers and comments on Question, Create a tangent function</title>
    <link>http://www.mapleprimes.com/questions/142240-Create-A-Tangent-Function</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
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    <lastBuildDate>Wed, 10 Jun 2026 19:00:42 GMT</lastBuildDate>
    <pubDate>Wed, 10 Jun 2026 19:00:42 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>The latest answers and comments added to the Question, Create a tangent function</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - answers and comments on Question, Create a tangent function</title>
      <link>http://www.mapleprimes.com/questions/142240-Create-A-Tangent-Function</link>
    </image>
    <item>
      <title>Re</title>
      <link>http://www.mapleprimes.com/questions/142240-Create-A-Tangent-Function?ref=Feed:MaplePrimes:Create a tangent function:Comments#answer142243</link>
      <itunes:summary>&lt;p&gt;To the 1st question:&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;restart;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;f:=x-&amp;gt;piecewise((x&amp;gt;=0.19740 and x&amp;lt;0.91510) or (x&amp;gt;=3.3390 and x&amp;lt;4.0567), tan(x), undefined);&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;plot(f(x), view=[-1..5, -0.5..1.5], scaling=constrained);&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;br&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;To the 2nd question:&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;restart;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;solve({ 0.2 &amp;lt;= tan(x), tan(x)&amp;lt; 1.3, x&amp;gt;0, x&amp;lt;Pi});&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;plot(tan(x), x=lhs(%[1])..rhs(%[2]));&lt;/strong&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;To the 1st question:&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;restart;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;f:=x-&amp;gt;piecewise((x&amp;gt;=0.19740 and x&amp;lt;0.91510) or (x&amp;gt;=3.3390 and x&amp;lt;4.0567), tan(x), undefined);&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;plot(f(x), view=[-1..5, -0.5..1.5], scaling=constrained);&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;br&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;To the 2nd question:&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;restart;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;solve({ 0.2 &amp;lt;= tan(x), tan(x)&amp;lt; 1.3, x&amp;gt;0, x&amp;lt;Pi});&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;plot(tan(x), x=lhs(%[1])..rhs(%[2]));&lt;/strong&gt;&lt;/p&gt;</description>
      <guid>142243</guid>
      <pubDate>Sun, 13 Jan 2013 00:27:27 Z</pubDate>
      <itunes:author>Kitonum</itunes:author>
      <author>Kitonum</author>
    </item>
    <item>
      <title>Explanation</title>
      <link>http://www.mapleprimes.com/questions/142240-Create-A-Tangent-Function?ref=Feed:MaplePrimes:Create a tangent function:Comments#answer142244</link>
      <itunes:summary>&lt;p&gt;As far as I understand it, the command&lt;br&gt;&amp;gt; solve({.2 &amp;lt; tan(x), tan(x) &amp;lt; 1.3});&lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {-2.944197094 &amp;lt; x, x &amp;lt; -2.226491953}, {0.1973955598 &amp;lt; x, x &amp;lt; 0.9151007006}, &lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {3.338988213 &amp;lt; x, x &amp;lt; 4.056693354}&lt;br&gt;produces only solutions belonging to RealRange(-Pi,2*Pi).The allsolutions option does not&lt;br&gt;&amp;nbsp;work here. If you want to obtain all solutions belonging to RealRange(a,b), &lt;br&gt;then you should use the command&lt;br&gt;&amp;gt; solve({.2 &amp;lt; tan(x), tan(x) &amp;lt; 1.3,x&amp;gt;a,x &amp;lt;b}). For example,&lt;br&gt;&amp;gt; solve({x &amp;gt; -10*Pi, .2 &amp;lt; tan(x), x &amp;lt; -Pi, tan(x) &amp;lt; 1.3});&lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {-31.21853098 &amp;lt; x, x &amp;lt; -30.50082584},&amp;nbsp; {-28.07693832 &amp;lt; x, x &amp;lt; -27.35923318}, &lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {-24.93534567 &amp;lt; x, x &amp;lt; -24.21764053}, {-21.79375302 &amp;lt; x, x &amp;lt; -21.07604787}, &lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {-18.65216036 &amp;lt; x, x &amp;lt; -17.93445522},{-15.51056771 &amp;lt; x, x &amp;lt; -14.79286257}, &lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {-12.36897505 &amp;lt; x, x &amp;lt; -11.65126991},{-9.227382401 &amp;lt; x, x &amp;lt; -8.509677260}, &lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {-6.085789747 &amp;lt; x, x &amp;lt; -5.368084607}&lt;br&gt;&lt;br&gt;&amp;gt; sol := solve({x &amp;gt; -10*Pi, .2 &amp;lt; tan(x), x &amp;lt; 20*Pi, tan(x) &amp;lt; 1.3}, [x]);&lt;br&gt;&amp;gt; nops(sol);&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 30&lt;br&gt;&amp;gt; plot([tan(x), .2, 1.3], x = -10*Pi .. -Pi, discont = true);&lt;br&gt;&lt;br&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;As far as I understand it, the command&lt;br&gt;&amp;gt; solve({.2 &amp;lt; tan(x), tan(x) &amp;lt; 1.3});&lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {-2.944197094 &amp;lt; x, x &amp;lt; -2.226491953}, {0.1973955598 &amp;lt; x, x &amp;lt; 0.9151007006}, &lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {3.338988213 &amp;lt; x, x &amp;lt; 4.056693354}&lt;br&gt;produces only solutions belonging to RealRange(-Pi,2*Pi).The allsolutions option does not&lt;br&gt;&amp;nbsp;work here. If you want to obtain all solutions belonging to RealRange(a,b), &lt;br&gt;then you should use the command&lt;br&gt;&amp;gt; solve({.2 &amp;lt; tan(x), tan(x) &amp;lt; 1.3,x&amp;gt;a,x &amp;lt;b}). For example,&lt;br&gt;&amp;gt; solve({x &amp;gt; -10*Pi, .2 &amp;lt; tan(x), x &amp;lt; -Pi, tan(x) &amp;lt; 1.3});&lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {-31.21853098 &amp;lt; x, x &amp;lt; -30.50082584},&amp;nbsp; {-28.07693832 &amp;lt; x, x &amp;lt; -27.35923318}, &lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {-24.93534567 &amp;lt; x, x &amp;lt; -24.21764053}, {-21.79375302 &amp;lt; x, x &amp;lt; -21.07604787}, &lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {-18.65216036 &amp;lt; x, x &amp;lt; -17.93445522},{-15.51056771 &amp;lt; x, x &amp;lt; -14.79286257}, &lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {-12.36897505 &amp;lt; x, x &amp;lt; -11.65126991},{-9.227382401 &amp;lt; x, x &amp;lt; -8.509677260}, &lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; {-6.085789747 &amp;lt; x, x &amp;lt; -5.368084607}&lt;br&gt;&lt;br&gt;&amp;gt; sol := solve({x &amp;gt; -10*Pi, .2 &amp;lt; tan(x), x &amp;lt; 20*Pi, tan(x) &amp;lt; 1.3}, [x]);&lt;br&gt;&amp;gt; nops(sol);&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 30&lt;br&gt;&amp;gt; plot([tan(x), .2, 1.3], x = -10*Pi .. -Pi, discont = true);&lt;br&gt;&lt;br&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;</description>
      <guid>142244</guid>
      <pubDate>Sun, 13 Jan 2013 00:37:03 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
    <item>
      <title>Thank you so much for the answer. But do</title>
      <link>http://www.mapleprimes.com/questions/142240-Create-A-Tangent-Function?ref=Feed:MaplePrimes:Create a tangent function:Comments#answer142245</link>
      <itunes:summary>&lt;p&gt;Thank you so much for the answer. But do you know whether it is possible to do it like the picture?&lt;a href="/view.aspx?sf=142245/451515/Udklip2.JPG"&gt;&lt;img src="/view.aspx?sf=142245/451515/Udklip2.JPG" alt=""&gt;&lt;/a&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;Thank you so much for the answer. But do you know whether it is possible to do it like the picture?&lt;a href="/view.aspx?sf=142245/451515/Udklip2.JPG"&gt;&lt;img src="/view.aspx?sf=142245/451515/Udklip2.JPG" alt=""&gt;&lt;/a&gt;&lt;/p&gt;</description>
      <guid>142245</guid>
      <pubDate>Sun, 13 Jan 2013 00:37:32 Z</pubDate>
      <itunes:author>khalijefars</itunes:author>
      <author>khalijefars</author>
    </item>
    <item>
      <title>this pic is not from the exercise but an example</title>
      <link>http://www.mapleprimes.com/questions/142240-Create-A-Tangent-Function?ref=Feed:MaplePrimes:Create a tangent function:Comments#answer142246</link>
      <itunes:summary>&lt;p&gt;this pic is not from the exercise but an example&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;this pic is not from the exercise but an example&lt;/p&gt;</description>
      <guid>142246</guid>
      <pubDate>Sun, 13 Jan 2013 00:38:14 Z</pubDate>
      <itunes:author>khalijefars</itunes:author>
      <author>khalijefars</author>
    </item>
    <item>
      <title>How about this?</title>
      <link>http://www.mapleprimes.com/questions/142240-Create-A-Tangent-Function?ref=Feed:MaplePrimes:Create a tangent function:Comments#answer142248</link>
      <itunes:summary>&lt;p&gt;&amp;gt; with(plots): a := implicitplot(max(.2-tan(x), tan(x)-1.3, -Pi-x, x-2*Pi, y-tan(x), -y) &amp;lt;= 0, x = -Pi .. 2*Pi, y = 0 .. 5, numpoints = 10^5, filled = true);&lt;br&gt;&amp;gt; b := plot([tan(x), .2, 1.3], x = -Pi .. 2*Pi, discont = true);&lt;br&gt;&amp;gt; display([a, b]);&lt;br&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;See &lt;a href="http://www.maplesoft.com/support/help/search.aspx?term=plots"&gt;?plots&lt;/a&gt; for more details.&lt;br&gt;&lt;br&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;&amp;gt; with(plots): a := implicitplot(max(.2-tan(x), tan(x)-1.3, -Pi-x, x-2*Pi, y-tan(x), -y) &amp;lt;= 0, x = -Pi .. 2*Pi, y = 0 .. 5, numpoints = 10^5, filled = true);&lt;br&gt;&amp;gt; b := plot([tan(x), .2, 1.3], x = -Pi .. 2*Pi, discont = true);&lt;br&gt;&amp;gt; display([a, b]);&lt;br&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;See &lt;a href="http://www.maplesoft.com/support/help/search.aspx?term=plots"&gt;?plots&lt;/a&gt; for more details.&lt;br&gt;&lt;br&gt;&lt;/p&gt;</description>
      <guid>142248</guid>
      <pubDate>Sun, 13 Jan 2013 00:49:28 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
    <item>
      <title>Wonderful!!!!! A lot of thanks!&amp;nbsp;</title>
      <link>http://www.mapleprimes.com/questions/142240-Create-A-Tangent-Function?ref=Feed:MaplePrimes:Create a tangent function:Comments#answer142249</link>
      <itunes:summary>&lt;p&gt;Wonderful!!!!! A lot of thanks!&amp;nbsp;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;Wonderful!!!!! A lot of thanks!&amp;nbsp;&lt;/p&gt;</description>
      <guid>142249</guid>
      <pubDate>Sun, 13 Jan 2013 00:50:37 Z</pubDate>
      <itunes:author>khalijefars</itunes:author>
      <author>khalijefars</author>
    </item>
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