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Georgia Southern University
A Conic Quadratic Interior-Point Method for a Class of Stratified Sampling Problems
Abstract
dc:description.abstract<p>The stratified sampling problem is a very important problem that arises in different applications and very often in statistics The purpose of this thesis is to numerically test two interior point methods on the stratified sampling problem. First, a homogeneous conic quadratic interior point method was used to solve the stratified sampling problem as a reformulated conic quadratic problem Then, a nonlinear homogeneous interior point method was used to solve the stratified sampling problem as a reformulated monotone complementarity problem Finally, the methods were compared by CPU time and the number of iterations showing that the first approach works better for problems with higher dimensions.</p>
Degree
thesis:*- Name thesis:degree_name
- Master of Applied Mathematics
- Level thesis:degree_level
- Thesis (restricted to Georgia Southern)
- Discipline thesis:degree_discipline
- Department of Mathematical Sciences
- Year dc:date.available
- 2004
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Slaughter, Verlynda Nicole
- Contributors dc:contributor
-
- Richard Hathaway
- Yingkang Hu
Subjects
dc:subject × 5Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.georgiasouthern.edu/etd_legacy/39
- OAI identifier oai:identifier
- oai:digitalcommons.georgiasouthern.edu:etd_legacy-1188