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EP011 Blackbox Optimization with NOMAD
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Manage episode 224666527 series 2077692
Content provided by FLOSSforScience. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by FLOSSforScience or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In Episode 11, we interviewed Sébastien Le Digabel about NOMAD a blackbox optimization software. A blackbox is a system which can be viewed in terms of its inputs and outputs, without any knowledge of its internal workings. NOMAD is a software for the optimization of such problems. It implements the Mesh Adaptive Direct Search (MADS) derivative-free optimization algorithm. NOMAD is free and intended to be easy to use. It is designed for solve real-world optimization problems from the industry. It works out of the box, as long as the objective and constraints are provided.
…
continue reading
35 episodes
MP3•Episode home
Manage episode 224666527 series 2077692
Content provided by FLOSSforScience. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by FLOSSforScience or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In Episode 11, we interviewed Sébastien Le Digabel about NOMAD a blackbox optimization software. A blackbox is a system which can be viewed in terms of its inputs and outputs, without any knowledge of its internal workings. NOMAD is a software for the optimization of such problems. It implements the Mesh Adaptive Direct Search (MADS) derivative-free optimization algorithm. NOMAD is free and intended to be easy to use. It is designed for solve real-world optimization problems from the industry. It works out of the box, as long as the objective and constraints are provided.
…
continue reading
35 episodes
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