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Advancing Parametric Optimization

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Advancing Parametric Optimization

On Multiparametric Linear Complementarity Problems with Parameters in General Locations

Nathan Adelgren

Springer
Collection: SpringerBriefs in Optimization
Publication date : 2021-01-21

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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

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About the book

Author

Nathan Adelgren

Imprint

Springer

Collection

SpringerBriefs in Optimization

Publication date

2021-01-21

Pages

113 pages

Print ISBN

9783030618209

Language

English

Ebook informations

EAN PDF

9783030618216

Price

£54.99

Copy count 1

Print count 11

File size 2079 Ko

Informations accessibility

EAN EPUB

9783030618216

Price

£54.99

Copy count 1

Print count 11

File size 5980 Ko

Informations accessibility

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About author(s)

Nathan Adelgren

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