{"id":4,"date":"2011-12-08T11:55:34","date_gmt":"2011-12-08T11:55:34","guid":{"rendered":"http:\/\/project.inria.fr\/template1\/?page_id=4"},"modified":"2020-05-11T14:59:29","modified_gmt":"2020-05-11T12:59:29","slug":"home","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/adapt\/","title":{"rendered":"Home"},"content":{"rendered":"

A<\/strong>daptive D<\/strong>ynamical A<\/strong>pproximations via P<\/strong>arallel T<\/strong>ensor methods<\/a><\/p>\n

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The project ADAPT has the following objectives:<\/p>\n

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  1. Define and investigate dynamical methods and algorithms that adapt the tensor ranks, formats and terms<\/em> to fulfil error criteria on the solution.<\/li>\n
  2. Introduce a communication avoiding<\/em> paradigm for the parallelisation of tensor construction, completion and multi-linear system solving.<\/li>\n
  3. Apply these methods to Kinetic Theory<\/em> and Uncertainty Quantification.<\/em><\/li>\n<\/ol>\n

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    \"\"<\/a>\"\"<\/a>\"\"<\/a><\/p>","protected":false},"excerpt":{"rendered":"

    Adaptive Dynamical Approximations via Parallel Tensor methods     The project ADAPT has the following objectives: Define and investigate dynamical methods and algorithms that adapt the tensor ranks, formats and terms to fulfil error criteria on the solution. Introduce a communication avoiding paradigm for the parallelisation of tensor construction, completion\u2026<\/p>\n

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