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    <title>optimization on krtffl.dev</title>
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    <description>Recent content in optimization on krtffl.dev</description>
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      <title>brute-forcing the pit window: when &#39;just try them all&#39; is the right call</title>
      <link>https://krtffl.dev/posts/pit-window-brute-force-search/</link>
      <pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate>
      
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      <description>&lt;p&gt;lights out. and this time the car has to stop.&lt;/p&gt;
&lt;p&gt;two posts ago i drew stintlab&amp;rsquo;s charts in rust on canvas2d and swore a chart was just rectangles and lines. one post ago i fit the &lt;a href=&#34;https://krtffl.dev/posts/ols-regression-collinearity-rust&#34;&gt;tire-degradation model&lt;/a&gt;
 by hand — ordinary least squares, cramer&amp;rsquo;s rule, and a singular-matrix guard that turned a collinearity bug into an honest &lt;code&gt;None&lt;/code&gt;. both of those were setup. this is the payoff: the thing that takes that model and actually makes a decision.&lt;/p&gt;
&lt;p&gt;because a degradation model, on its own, just draws a number — how much slower a tire gets, lap after lap. lovely. now what? a real race is decided in one call from the pit wall: &lt;em&gt;when do you box, and onto what rubber?&lt;/em&gt; stop too early and you throw away tire life; too late and you bleed seconds to a fresher car behind. that call wins races. i wanted to make it automatically, and the algorithm i reached for is the single dumbest one in the book: try every option and keep the best.&lt;/p&gt;
&lt;p&gt;and i&amp;rsquo;m going to argue that&amp;rsquo;s exactly right.&lt;/p&gt;</description>
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