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A Parallelized Variable Fixing Process for Solving Multistage Stochastic Programs with Progressive Hedging

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Published in:Advances in Operations Research
Format: Online Article RSS Article
Published: 2020
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container_title Advances in Operations Research
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:16717
institution FRELIP
journal_source_facet Advances in Operations Research
publishDate 2020
publishDateSort 2020
record_format rss_article
spellingShingle A Parallelized Variable Fixing Process for Solving Multistage Stochastic Programs with Progressive Hedging
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
title A Parallelized Variable Fixing Process for Solving Multistage Stochastic Programs with Progressive Hedging
title_auth A Parallelized Variable Fixing Process for Solving Multistage Stochastic Programs with Progressive Hedging
title_full A Parallelized Variable Fixing Process for Solving Multistage Stochastic Programs with Progressive Hedging
title_fullStr A Parallelized Variable Fixing Process for Solving Multistage Stochastic Programs with Progressive Hedging
title_full_unstemmed A Parallelized Variable Fixing Process for Solving Multistage Stochastic Programs with Progressive Hedging
title_short A Parallelized Variable Fixing Process for Solving Multistage Stochastic Programs with Progressive Hedging
title_sort a parallelized variable fixing process for solving multistage stochastic programs with progressive hedging
topic Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
url https://www.hindawi.com/journals/aor/2020/8965679/