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Advancing Parametric Optimization by Nathan Adelgren
Advancing Parametric Optimization by Nathan Adelgren
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Advancing Parametric Optimization

On Multiparametric Linear Complementarity Problems with Parameters in General Locations
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Description

The theory presented in this work merges many concepts from mathematical optimization and real algebraic geometry. When unknown or uncertain data in an optimization problem is replaced with parameters, one obtains a multi-parametric optimization problem whose optimal solution comes in the form of a function of the parameters.The theory and methodology presented in this work allows one to solve both Linear Programs and convex Quadratic Programs containing parameters in any location within the problem data as well as multi-objective optimization problems with any number of convex quadratic or linear objectives and linear constraints. Applications of these classes of problems are extremely widespread, ranging from business and economics to chemical and environmental engineering. Prior to this work, no solution procedure existed for these general classes of problems except for the recently proposed algorithms

Author Biography:

​Nathan Adelgren earned his Ph.D. in Mathematical Sciences from Clemson University in 2016. He is currently an Associate Professor in the Department of Mathematics and Computer Science at Edinboro University in Edinboro, PA. His research interests are in the general field of Operations Research and include developing novel solution procedures for nontraditional optimization problems in the form of multicriteria, multiparametric, and mixed-integer programs as well as various combinations of these.
Release date Australia
January 22nd, 2021
Audience
  • Professional & Vocational
Edition
1st ed. 2021
Illustrations
7 Illustrations, color; 1 Illustrations, black and white; XII, 113 p. 8 illus., 7 illus. in color.
Pages
113
ISBN-13
9783030618209
Product ID
33920215

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