Beberapa Metode pada Masalah Pemrograman Stokastik
Stochastic programming problem is mathematical problem (linear, integer, mixed integer, and nonlinier) with stochastic element lies data. To get reasonable solution and optimal with its stochastic data is needed several method. Applicable method in trouble stochastic programming are L-Shape decompo...
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Department of Mathematics, UIN Sunan Ampel Surabaya
2017
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oai:doaj.org-article:abc4b36790434f9d89b4812b95ef778a2021-12-02T17:17:10ZBeberapa Metode pada Masalah Pemrograman Stokastik2527-31592527-316710.15642/mantik.2017.3.2.83-86https://doaj.org/article/abc4b36790434f9d89b4812b95ef778a2017-10-01T00:00:00Zhttp://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/167https://doaj.org/toc/2527-3159https://doaj.org/toc/2527-3167Stochastic programming problem is mathematical problem (linear, integer, mixed integer, and nonlinier) with stochastic element lies data. To get reasonable solution and optimal with its stochastic data is needed several method. Applicable method in trouble stochastic programming are L-Shape decomposition and lagrange decomposition. Each method can determine optimal solution to troubleshoots stochastic programmingIhda HasbiyatiHasriati HasriatiDepartment of Mathematics, UIN Sunan Ampel SurabayaarticleStochastic programming problems; Robust optimization; Chance-constrained programming; Recourse stochastic programmingMathematicsQA1-939ENMantik: Jurnal Matematika, Vol 3, Iss 2, Pp 83-86 (2017) |
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Stochastic programming problems; Robust optimization; Chance-constrained programming; Recourse stochastic programming Mathematics QA1-939 |
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Stochastic programming problems; Robust optimization; Chance-constrained programming; Recourse stochastic programming Mathematics QA1-939 Ihda Hasbiyati Hasriati Hasriati Beberapa Metode pada Masalah Pemrograman Stokastik |
description |
Stochastic programming problem is mathematical problem (linear, integer, mixed integer, and nonlinier) with stochastic element lies data. To get reasonable solution and optimal with its stochastic data is needed several method. Applicable method in trouble stochastic programming are L-Shape decomposition and lagrange decomposition. Each method can determine optimal solution to troubleshoots stochastic programming |
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article |
author |
Ihda Hasbiyati Hasriati Hasriati |
author_facet |
Ihda Hasbiyati Hasriati Hasriati |
author_sort |
Ihda Hasbiyati |
title |
Beberapa Metode pada Masalah Pemrograman Stokastik |
title_short |
Beberapa Metode pada Masalah Pemrograman Stokastik |
title_full |
Beberapa Metode pada Masalah Pemrograman Stokastik |
title_fullStr |
Beberapa Metode pada Masalah Pemrograman Stokastik |
title_full_unstemmed |
Beberapa Metode pada Masalah Pemrograman Stokastik |
title_sort |
beberapa metode pada masalah pemrograman stokastik |
publisher |
Department of Mathematics, UIN Sunan Ampel Surabaya |
publishDate |
2017 |
url |
https://doaj.org/article/abc4b36790434f9d89b4812b95ef778a |
work_keys_str_mv |
AT ihdahasbiyati beberapametodepadamasalahpemrogramanstokastik AT hasriatihasriati beberapametodepadamasalahpemrogramanstokastik |
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1718381162748968960 |