Term of Award
Master of Applied Mathematics
Document Type and Release Option
Thesis (restricted to Georgia Southern)
Department of Mathematical Sciences
Committee Member 1
Committee Member 2
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.
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Slaughter, Verlynda Nicole, "A Conic Quadratic Interior-Point Method for a Class of Stratified Sampling Problems" (2004). Legacy ETDs. 39.