<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Trade-Offs on Aayush Bajaj's Augmenting Infrastructure</title><link>https://abaj.ai/tags/trade-offs/</link><description>Recent content in Trade-Offs on Aayush Bajaj's Augmenting Infrastructure</description><generator>Hugo</generator><language>en</language><copyright>© 2026 Aayush Bajaj</copyright><lastBuildDate>Fri, 10 Jul 2026 08:15:51 +1000</lastBuildDate><atom:link href="https://abaj.ai/tags/trade-offs/index.xml" rel="self" type="application/rss+xml"/><item><title>Multi-objective</title><link>https://abaj.ai/wiki/ccs/programming/paradigms/multi-objective/</link><pubDate>Fri, 10 Jul 2026 07:43:56 +1000</pubDate><guid>https://abaj.ai/wiki/ccs/programming/paradigms/multi-objective/</guid><description>&lt;p>single-objective optimisation is a polite fiction. real decisions trade cost against quality, return against risk, speed against accuracy — and the objectives &lt;em>disagree&lt;/em>, otherwise you would not have listed them separately.&lt;span class="margin-note" data-note="the ordering is named for pareto (1896) though edgeworth had the idea in 1881 — hence the pedantic name edgeworth-pareto optimality">
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multi-objective optimisation refuses to mash them into one number prematurely. the price of that honesty: &amp;ldquo;the optimum&amp;rdquo; stops being a point and becomes a &lt;em>set&lt;/em> — the pareto front — and half the subject is about how to trace it, the other half about how to pick from it.&lt;/p></description></item></channel></rss>