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	<title>Comments on: Less is More</title>
	<link>http://blog.intechne.com/2009/01/30/less-is-more/</link>
	<description>Practice-oriented discussion of advanced analytics-driven decision-making</description>
	<pubDate>Mon, 06 Sep 2010 13:36:43 +0000</pubDate>
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		<title>By: Intechne Blog &#187; Blog Archive &#187; Living in Interesting Times</title>
		<link>http://blog.intechne.com/2009/01/30/less-is-more/#comment-888</link>
		<author>Intechne Blog &#187; Blog Archive &#187; Living in Interesting Times</author>
		<pubDate>Sat, 14 Feb 2009 07:37:16 +0000</pubDate>
		<guid>http://blog.intechne.com/2009/01/30/less-is-more/#comment-888</guid>
		<description>[...] 30 January 2009: Less is More [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] 30 January 2009: Less is More [&#8230;]</p>
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		<title>By: Sanjay Saigal</title>
		<link>http://blog.intechne.com/2009/01/30/less-is-more/#comment-882</link>
		<author>Sanjay Saigal</author>
		<pubDate>Tue, 10 Feb 2009 01:45:46 +0000</pubDate>
		<guid>http://blog.intechne.com/2009/01/30/less-is-more/#comment-882</guid>
		<description>Thanks, Dan. At $7k a pop (including maintenance), at the very least Gurobi is will create turbulence in a previously placid market. 

I notice that you have not published deployment fees on your web page. What do you expect those to look like?</description>
		<content:encoded><![CDATA[<p>Thanks, Dan. At $7k a pop (including maintenance), at the very least Gurobi is will create turbulence in a previously placid market. </p>
<p>I notice that you have not published deployment fees on your web page. What do you expect those to look like?</p>
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		<title>By: Daniel H. Fylstra</title>
		<link>http://blog.intechne.com/2009/01/30/less-is-more/#comment-881</link>
		<author>Daniel H. Fylstra</author>
		<pubDate>Tue, 10 Feb 2009 00:39:56 +0000</pubDate>
		<guid>http://blog.intechne.com/2009/01/30/less-is-more/#comment-881</guid>
		<description>Although the first release directly from Gurobi Optimization (with its own APIs and tool set) is planned for April, the Gurobi Solver 1.0 is available in a full commercial release this month (February) as embedded in several modeling systems (AIMMS, Frontline, GAMS, MPL). We have it available for download right now (15 day free trial with no other restrictions) at http://www.solver.com/gurobi. You can actually run the benchmarks cited above yourself if you have the time, or solve your own models in MPS, LP and OSIL format using a little program GurobiEval that we include. You can create models from scratch, and solve them with Gurobi, either in Excel with our modeling system, Risk Solver Platform, or in C, C++, C#, VB6, VB.NET, Java or MATLAB using our Solver Platform SDK.

On the Mittleman test problem set, it appears that CPLEX takes better advantage of parallelization, as Sebastian Pokutto noted.  But on other test problem sets, the opposite may be true.  We don't have a direct comparison to CPLEX, but we have run 50 selected, hard-to-parallelize problems from the MIPLIB against Gurobi and XPRESS-MP with 1 core and 4 cores.  On this test set, Gurobi's outperformance vs. XPRESS-MP was significantly greater on 4 cores than it was on 1 core.  The Gurobi Solver was engineered from the ground up for multi-core processors; while MIP Solver performance is always model-dependent, I'll bet that further testing will show that Gurobi's multi-core outperformance is the pattern rather than the exception.</description>
		<content:encoded><![CDATA[<p>Although the first release directly from Gurobi Optimization (with its own APIs and tool set) is planned for April, the Gurobi Solver 1.0 is available in a full commercial release this month (February) as embedded in several modeling systems (AIMMS, Frontline, GAMS, MPL). We have it available for download right now (15 day free trial with no other restrictions) at <a href="http://www.solver.com/gurobi." rel="nofollow">http://www.solver.com/gurobi.</a> You can actually run the benchmarks cited above yourself if you have the time, or solve your own models in MPS, LP and OSIL format using a little program GurobiEval that we include. You can create models from scratch, and solve them with Gurobi, either in Excel with our modeling system, Risk Solver Platform, or in C, C++, C#, VB6, VB.NET, Java or MATLAB using our Solver Platform SDK.</p>
<p>On the Mittleman test problem set, it appears that CPLEX takes better advantage of parallelization, as Sebastian Pokutto noted.  But on other test problem sets, the opposite may be true.  We don&#8217;t have a direct comparison to CPLEX, but we have run 50 selected, hard-to-parallelize problems from the MIPLIB against Gurobi and XPRESS-MP with 1 core and 4 cores.  On this test set, Gurobi&#8217;s outperformance vs. XPRESS-MP was significantly greater on 4 cores than it was on 1 core.  The Gurobi Solver was engineered from the ground up for multi-core processors; while MIP Solver performance is always model-dependent, I&#8217;ll bet that further testing will show that Gurobi&#8217;s multi-core outperformance is the pattern rather than the exception.</p>
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		<title>By: Gurobi vs. CPLEX &#171; Sebastian Pokutta&#8217;s Blog</title>
		<link>http://blog.intechne.com/2009/01/30/less-is-more/#comment-858</link>
		<author>Gurobi vs. CPLEX &#171; Sebastian Pokutta&#8217;s Blog</author>
		<pubDate>Sat, 31 Jan 2009 16:28:49 +0000</pubDate>
		<guid>http://blog.intechne.com/2009/01/30/less-is-more/#comment-858</guid>
		<description>[...] From the Intechne Blog &#62;&#62;Less is more&#60;&#60;: [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] From the Intechne Blog &gt;&gt;Less is more&lt;&lt;: [&#8230;]</p>
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