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	<title>Context-Aided Variable Elimination for Requirement Engineering - Revision history</title>
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	<updated>2026-09-06T08:20:28Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<title>Murray: Created page with &quot;{{Paper |Title=Context-Aided Variable Elimination for Requirement Engineering |Authors=Inigo Incer, Albert Benveniste, Richard M. Murray, Alberto Sangiovanni-Vincentelli, Sanjit A. Seshia |Source=Submitted, 2023 Formal Methods in Computer-Aided Design (FMCAD) |Abstract=Deriving system-level specifications from component specifications usually involves the elimination of variables that are not part of the interface of the top-level system. This paper presents algorithms f...&quot;</title>
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		<updated>2023-12-27T20:39:05Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;{{Paper |Title=Context-Aided Variable Elimination for Requirement Engineering |Authors=Inigo Incer, Albert Benveniste, Richard M. Murray, Alberto Sangiovanni-Vincentelli, Sanjit A. Seshia |Source=Submitted, 2023 Formal Methods in Computer-Aided Design (FMCAD) |Abstract=Deriving system-level specifications from component specifications usually involves the elimination of variables that are not part of the interface of the top-level system. This paper presents algorithms f...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{Paper&lt;br /&gt;
|Title=Context-Aided Variable Elimination for Requirement Engineering&lt;br /&gt;
|Authors=Inigo Incer, Albert Benveniste, Richard M. Murray, Alberto Sangiovanni-Vincentelli, Sanjit A. Seshia&lt;br /&gt;
|Source=Submitted, 2023 Formal Methods in Computer-Aided Design (FMCAD)&lt;br /&gt;
|Abstract=Deriving system-level specifications from component specifications usually involves the elimination of variables that are not part of the interface of the top-level system. This paper presents algorithms for eliminating variables from formulas by computing refinements or relaxations of these formulas in a context. We discuss a connection between this problem and optimization and give efficient algorithms to compute refinements and relaxations of linear inequality constraints.&lt;br /&gt;
|URL=https://arxiv.org/pdf/2305.17596.pdf&lt;br /&gt;
|Type=Conference submission&lt;br /&gt;
|ID=2023a&lt;br /&gt;
|Tag=Inc+23-FMCAD&lt;br /&gt;
}}&lt;/div&gt;</summary>
		<author><name>Murray</name></author>
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