Model selection and optimization experiment of a feild trial with agricultural data using Python
(2018) In Master's Theses in Mathematical Sciences NUMK01 20172Mathematics (Faculty of Engineering)
 Abstract
 Potato cultivation is vast for many agricultures in southern Sweden. What many might not be aware of, is how much pesticides which are used in the cultivation process. In "Late blight prediction and analysis"[1] predictions of lateblight attacks was modelled on potatocorps using Elastic Net among other methods. This thesis is an algorithmic complement describing Alternate Direction Method of Multipliers (ADMM) and its use for efficient optimization of Elastic Net.
Initially a firm foundation is lied introducing the primal respectively dualproblem and how the relation can be used to define optimization methods. The finale of those is ADMM. Its predecessors are also properly introduced in this thesis.
Then using the same data as... (More)  Potato cultivation is vast for many agricultures in southern Sweden. What many might not be aware of, is how much pesticides which are used in the cultivation process. In "Late blight prediction and analysis"[1] predictions of lateblight attacks was modelled on potatocorps using Elastic Net among other methods. This thesis is an algorithmic complement describing Alternate Direction Method of Multipliers (ADMM) and its use for efficient optimization of Elastic Net.
Initially a firm foundation is lied introducing the primal respectively dualproblem and how the relation can be used to define optimization methods. The finale of those is ADMM. Its predecessors are also properly introduced in this thesis.
Then using the same data as in prediction and analysis" [1], an experiment looking into parameter effects in both ADMM and Elastic Net is conducted. Some intuitions are confirmed, such as penalty effects and similar. Notably is the robustness of ADMM, despite this it can be more or less effective. Example wise it was found that some control parameters in ADMM and Elastic Net has a firm relations and should be properly chosen.
[1] L. Bengtsson, "Late blight prediction and analysis", 2017. Student Paper. (Less)  Popular Abstract
 Potato cultivation is vast for many agricultures in southern Sweden. What many might not be aware of, is how much pesticides which are used in the cultivation process. In "Late blight prediction and analysis"[1] predictions of lateblight attacks was modelled on potatocorps using Elastic Net among other methods. This thesis is an algorithmic complement describing Alternate Direction Method of Multipliers (ADMM) and its use for efficient optimization of Elastic Net.
Initially a firm foundation is lied introducing the primal respectively dualproblem and how the relation can be used to define optimization methods. The finale of those is ADMM. Its predecessors are also properly introduced in this thesis.
Then using the same data as... (More)  Potato cultivation is vast for many agricultures in southern Sweden. What many might not be aware of, is how much pesticides which are used in the cultivation process. In "Late blight prediction and analysis"[1] predictions of lateblight attacks was modelled on potatocorps using Elastic Net among other methods. This thesis is an algorithmic complement describing Alternate Direction Method of Multipliers (ADMM) and its use for efficient optimization of Elastic Net.
Initially a firm foundation is lied introducing the primal respectively dualproblem and how the relation can be used to define optimization methods. The finale of those is ADMM. Its predecessors are also properly introduced in this thesis.
Then using the same data as in prediction and analysis" [1], an experiment looking into parameter effects in both ADMM and Elastic Net is conducted. Some intuitions are confirmed, such as penalty effects and similar. Notably is the robustness of ADMM, despite this it can be more or less effective. Example wise it was found that some control parameters in ADMM and Elastic Net has a firm relations and should be properly chosen.
[1] L. Bengtsson, "Late blight prediction and analysis", 2017. Student Paper. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/studentpapers/record/8938267
 author
 Bengtsson, Lukas ^{LU}
 supervisor

 Claus Führer ^{LU}
 organization
 course
 NUMK01 20172
 year
 2018
 type
 M2  Bachelor Degree
 subject
 keywords
 ADMM, Elastic Net, Model selection, optimization
 publication/series
 Master's Theses in Mathematical Sciences
 report number
 LUNFMS30722017
 ISSN
 14046342
 other publication id
 2017:E47
 language
 English
 id
 8938267
 date added to LUP
 20180607 17:58:19
 date last changed
 20180607 17:58:19
@misc{8938267, abstract = {Potato cultivation is vast for many agricultures in southern Sweden. What many might not be aware of, is how much pesticides which are used in the cultivation process. In "Late blight prediction and analysis"[1] predictions of lateblight attacks was modelled on potatocorps using Elastic Net among other methods. This thesis is an algorithmic complement describing Alternate Direction Method of Multipliers (ADMM) and its use for efficient optimization of Elastic Net. Initially a firm foundation is lied introducing the primal respectively dualproblem and how the relation can be used to define optimization methods. The finale of those is ADMM. Its predecessors are also properly introduced in this thesis. Then using the same data as in prediction and analysis" [1], an experiment looking into parameter effects in both ADMM and Elastic Net is conducted. Some intuitions are confirmed, such as penalty effects and similar. Notably is the robustness of ADMM, despite this it can be more or less effective. Example wise it was found that some control parameters in ADMM and Elastic Net has a firm relations and should be properly chosen. [1] L. Bengtsson, "Late blight prediction and analysis", 2017. Student Paper.}, author = {Bengtsson, Lukas}, issn = {14046342}, keyword = {ADMM,Elastic Net,Model selection,optimization}, language = {eng}, note = {Student Paper}, series = {Master's Theses in Mathematical Sciences}, title = {Model selection and optimization experiment of a feild trial with agricultural data using Python}, year = {2018}, }