<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0">
  <channel>
    <title>MaplePrimes - answers and comments on Question, How to find the critical points and local maxima and minima by only using the 1st derivative?</title>
    <link>http://www.mapleprimes.com/questions/137544-How-To-Find-The-Critical-Points-And</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
    <generator>Maplesoft Document System</generator>
    <lastBuildDate>Tue, 09 Jun 2026 07:24:53 GMT</lastBuildDate>
    <pubDate>Tue, 09 Jun 2026 07:24:53 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>The latest answers and comments added to the Question, How to find the critical points and local maxima and minima by only using the 1st derivative?</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - answers and comments on Question, How to find the critical points and local maxima and minima by only using the 1st derivative?</title>
      <link>http://www.mapleprimes.com/questions/137544-How-To-Find-The-Critical-Points-And</link>
    </image>
    <item>
      <title>Please check your code</title>
      <link>http://www.mapleprimes.com/questions/137544-How-To-Find-The-Critical-Points-And?ref=Feed:MaplePrimes:How to find the critical points and local maxima and minima by only using the 1st derivative?:Comments#answer137554</link>
      <itunes:summary>&lt;p&gt;Please check this line df:=x-&amp;gt;abs(1,fo(x))((3*x^2)-16*x+5)-0.5. I think&lt;/p&gt;
&lt;p&gt;fo(x) must be&amp;nbsp;,&lt;strong&gt;f0(x).&lt;/strong&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;Please check this line df:=x-&amp;gt;abs(1,fo(x))((3*x^2)-16*x+5)-0.5. I think&lt;/p&gt;
&lt;p&gt;fo(x) must be&amp;nbsp;,&lt;strong&gt;f0(x).&lt;/strong&gt;&lt;/p&gt;</description>
      <guid>137554</guid>
      <pubDate>Thu, 20 Sep 2012 19:53:30 Z</pubDate>
      <itunes:author>toandhsp</itunes:author>
      <author>toandhsp</author>
    </item>
    <item>
      <title>You are on the right way</title>
      <link>http://www.mapleprimes.com/questions/137544-How-To-Find-The-Critical-Points-And?ref=Feed:MaplePrimes:How to find the critical points and local maxima and minima by only using the 1st derivative?:Comments#answer137557</link>
      <itunes:summary>&lt;p&gt;You made a good start. Let us continue. The &lt;a href="http://www.maplesoft.com/support/help/search.aspx?term=CriticalPoints"&gt;?CriticalPoints&lt;/a&gt; command is preferable over the&lt;br&gt;the &lt;a href="http://www.maplesoft.com/support/help/search.aspx?term=ExtermePoints"&gt;?ExtermePoints&lt;/a&gt; command because the endpoints are not local extrema by definition. Therefore,&lt;br&gt;&amp;gt; CP := CriticalPoints(f(x), x = -1 .. 7);&lt;br&gt;[-(7/3)*cos((1/3)*arctan((3/278)*sqrt(3)*sqrt(1495)))+8/3-(7/3)*sin((1/3)*arctan((3/278)*&lt;br&gt;sqrt(3)*sqrt(1495)))*sqrt(3), 8/3-(1/6)*sqrt(202), -(7/3)*cos((1/3)*arctan((3/278)*sqrt(3)*&lt;br&gt;sqrt(1495)))+8/3+(7/3)*sin((1/3)*arctan((3/278)*sqrt(3)*sqrt(1495)))*sqrt(3), 8/3+(1/6)*&lt;br&gt;sqrt(190)]&lt;br&gt;&amp;gt; evalf(CP);&lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; [-0.4530286320, 0.297888267, 1.220859768, 4.964008126]&lt;br&gt;Next, a short code to saturate the maxima and minima.&lt;br&gt;&amp;gt; minima := []: maxima := []:&lt;br&gt;&amp;gt; for j to nops(CP) do if evalf(df(CP[j]-0.1e-3)) &amp;gt; 0 and evalf(df(CP[j]+0.1e-3)) &amp;lt; 0&lt;br&gt;&amp;nbsp;then maxima := [op(maxima), CP[j]] &lt;br&gt;else if evalf(df(CP[j]-0.1e-3)) &amp;lt; 0 and&amp;nbsp; evalf(df(CP[j]+0.1e-3)) &amp;gt; 0&lt;br&gt;&amp;nbsp;then minima := [op(minima), CP[j]] &lt;br&gt;end if:&lt;br&gt;&amp;nbsp;end if:&lt;br&gt;&amp;nbsp;end do;&lt;br&gt;&amp;gt; maxima;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; [8/3-(1/6)*sqrt(202), 8/3+(1/6)*sqrt(190)]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &amp;nbsp;&lt;br&gt;&lt;br&gt;&amp;gt; minima;&lt;br&gt;[-(7/3)*cos((1/3)*arctan((3/278)*sqrt(3)*sqrt(1495)))+8/3-(7/3)*sin((1/3)*arctan((3/278)*&lt;br&gt;sqrt(3)*sqrt(1495)))*sqrt(3), -(7/3)*cos((1/3)*arctan((3/278)*sqrt(3)*sqrt(1495)))+&lt;br&gt;8/3+(7/3)*sin((1/3)*arctan((3/278)*sqrt(3)*sqrt(1495)))*sqrt(3)]&lt;br&gt;&amp;gt; evalf(maxima);&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;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; [0.297888267, 4.964008126]&lt;br&gt;&amp;gt; evalf(minima);&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;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; [-0.4530286320, 1.220859768]&lt;br&gt;&lt;br&gt;The plot&lt;br&gt;&amp;gt; plot(f, -1 .. 7)&lt;br&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br&gt;confirms the obtained outputs.&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=137557/443111/extrema.mw"&gt;extrema.mw&lt;/a&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;You made a good start. Let us continue. The &lt;a href="http://www.maplesoft.com/support/help/search.aspx?term=CriticalPoints"&gt;?CriticalPoints&lt;/a&gt; command is preferable over the&lt;br&gt;the &lt;a href="http://www.maplesoft.com/support/help/search.aspx?term=ExtermePoints"&gt;?ExtermePoints&lt;/a&gt; command because the endpoints are not local extrema by definition. Therefore,&lt;br&gt;&amp;gt; CP := CriticalPoints(f(x), x = -1 .. 7);&lt;br&gt;[-(7/3)*cos((1/3)*arctan((3/278)*sqrt(3)*sqrt(1495)))+8/3-(7/3)*sin((1/3)*arctan((3/278)*&lt;br&gt;sqrt(3)*sqrt(1495)))*sqrt(3), 8/3-(1/6)*sqrt(202), -(7/3)*cos((1/3)*arctan((3/278)*sqrt(3)*&lt;br&gt;sqrt(1495)))+8/3+(7/3)*sin((1/3)*arctan((3/278)*sqrt(3)*sqrt(1495)))*sqrt(3), 8/3+(1/6)*&lt;br&gt;sqrt(190)]&lt;br&gt;&amp;gt; evalf(CP);&lt;br&gt;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; [-0.4530286320, 0.297888267, 1.220859768, 4.964008126]&lt;br&gt;Next, a short code to saturate the maxima and minima.&lt;br&gt;&amp;gt; minima := []: maxima := []:&lt;br&gt;&amp;gt; for j to nops(CP) do if evalf(df(CP[j]-0.1e-3)) &amp;gt; 0 and evalf(df(CP[j]+0.1e-3)) &amp;lt; 0&lt;br&gt;&amp;nbsp;then maxima := [op(maxima), CP[j]] &lt;br&gt;else if evalf(df(CP[j]-0.1e-3)) &amp;lt; 0 and&amp;nbsp; evalf(df(CP[j]+0.1e-3)) &amp;gt; 0&lt;br&gt;&amp;nbsp;then minima := [op(minima), CP[j]] &lt;br&gt;end if:&lt;br&gt;&amp;nbsp;end if:&lt;br&gt;&amp;nbsp;end do;&lt;br&gt;&amp;gt; maxima;&lt;br&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; [8/3-(1/6)*sqrt(202), 8/3+(1/6)*sqrt(190)]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &amp;nbsp;&lt;br&gt;&lt;br&gt;&amp;gt; minima;&lt;br&gt;[-(7/3)*cos((1/3)*arctan((3/278)*sqrt(3)*sqrt(1495)))+8/3-(7/3)*sin((1/3)*arctan((3/278)*&lt;br&gt;sqrt(3)*sqrt(1495)))*sqrt(3), -(7/3)*cos((1/3)*arctan((3/278)*sqrt(3)*sqrt(1495)))+&lt;br&gt;8/3+(7/3)*sin((1/3)*arctan((3/278)*sqrt(3)*sqrt(1495)))*sqrt(3)]&lt;br&gt;&amp;gt; evalf(maxima);&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;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; [0.297888267, 4.964008126]&lt;br&gt;&amp;gt; evalf(minima);&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;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; [-0.4530286320, 1.220859768]&lt;br&gt;&lt;br&gt;The plot&lt;br&gt;&amp;gt; plot(f, -1 .. 7)&lt;br&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br&gt;confirms the obtained outputs.&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=137557/443111/extrema.mw"&gt;extrema.mw&lt;/a&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;</description>
      <guid>137557</guid>
      <pubDate>Thu, 20 Sep 2012 20:38:46 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
    <item>
      <title>Yes you are right. It is ,f0(x)
I typed</title>
      <link>http://www.mapleprimes.com/questions/137544-How-To-Find-The-Critical-Points-And?ref=Feed:MaplePrimes:How to find the critical points and local maxima and minima by only using the 1st derivative?:Comments#comment137556</link>
      <itunes:summary>&lt;p&gt;Yes you are right. It is ,f0(x)&lt;/p&gt;
&lt;p&gt;I typed it wrong here, but that is what maple printed out (for some reason i have to retype everything because i can't copy and paste)&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;Yes you are right. It is ,f0(x)&lt;/p&gt;
&lt;p&gt;I typed it wrong here, but that is what maple printed out (for some reason i have to retype everything because i can't copy and paste)&lt;/p&gt;</description>
      <guid>137556</guid>
      <pubDate>Thu, 20 Sep 2012 20:32:28 Z</pubDate>
      <itunes:author>kverbarg</itunes:author>
      <author>kverbarg</author>
    </item>
    <item>
      <title>what about the list of (x,y)?</title>
      <link>http://www.mapleprimes.com/questions/137544-How-To-Find-The-Critical-Points-And?ref=Feed:MaplePrimes:How to find the critical points and local maxima and minima by only using the 1st derivative?:Comments#comment137563</link>
      <itunes:summary>&lt;p&gt;That helped a lot, thanks! But what about for the list? I need to put out 2 lists, one for the minimas and one for the maximas in (x,y) format&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;That helped a lot, thanks! But what about for the list? I need to put out 2 lists, one for the minimas and one for the maximas in (x,y) format&lt;/p&gt;</description>
      <guid>137563</guid>
      <pubDate>Thu, 20 Sep 2012 21:22:12 Z</pubDate>
      <itunes:author>kverbarg</itunes:author>
      <author>kverbarg</author>
    </item>
    <item>
      <title>No problem</title>
      <link>http://www.mapleprimes.com/questions/137544-How-To-Find-The-Critical-Points-And?ref=Feed:MaplePrimes:How to find the critical points and local maxima and minima by only using the 1st derivative?:Comments#comment137565</link>
      <itunes:summary>&lt;p&gt;&lt;a href="http://www.mapleprimes.com/questions/137544-How-To-Find-The-Critical-Points-And#comment137563"&gt;@kverbarg&lt;/a&gt; It can be done as follows.&lt;/p&gt;
&lt;p&gt;&amp;gt; ListTools:-Transpose([maxima, map(f, maxima)]);&lt;br&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;/p&gt;
&lt;p&gt;I hope you will not have a problem with minima.&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;&lt;a href="http://www.mapleprimes.com/questions/137544-How-To-Find-The-Critical-Points-And#comment137563"&gt;@kverbarg&lt;/a&gt; It can be done as follows.&lt;/p&gt;
&lt;p&gt;&amp;gt; ListTools:-Transpose([maxima, map(f, maxima)]);&lt;br&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;/p&gt;
&lt;p&gt;I hope you will not have a problem with minima.&lt;/p&gt;</description>
      <guid>137565</guid>
      <pubDate>Thu, 20 Sep 2012 21:36:15 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
    <item>
      <title>Thank you!!!</title>
      <link>http://www.mapleprimes.com/questions/137544-How-To-Find-The-Critical-Points-And?ref=Feed:MaplePrimes:How to find the critical points and local maxima and minima by only using the 1st derivative?:Comments#comment137568</link>
      <itunes:summary>&lt;p&gt;&lt;a href="http://www.mapleprimes.com/questions/137544-How-To-Find-The-Critical-Points-And#comment137565"&gt;@Markiyan Hirnyk&lt;/a&gt;&amp;nbsp;Thank you!!!&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;&lt;a href="http://www.mapleprimes.com/questions/137544-How-To-Find-The-Critical-Points-And#comment137565"&gt;@Markiyan Hirnyk&lt;/a&gt;&amp;nbsp;Thank you!!!&lt;/p&gt;</description>
      <guid>137568</guid>
      <pubDate>Thu, 20 Sep 2012 23:01:04 Z</pubDate>
      <itunes:author>Cody</itunes:author>
      <author>Cody</author>
    </item>
  </channel>
</rss>