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Advancing parametric optimization : on multiparametric linear complementarity problems with parameters in general locations / / Nathan Adelgren



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Autore: Adelgren Nathan Visualizza persona
Titolo: Advancing parametric optimization : on multiparametric linear complementarity problems with parameters in general locations / / Nathan Adelgren Visualizza cluster
Pubblicazione: Cham, Switzerland : , : Springer, , [2021]
©2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (XII, 113 p. 8 illus., 7 illus. in color.)
Disciplina: 016.5192
Soggetto topico: Mathematical optimization
Geometry, Algebraic
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 1. Introduction -- 2. Background on mpLCP -- 3. Algebraic Properties of Invariancy Regions -- 4. Phase 2: Partitioning the Parameter Space -- 5. Phase 1: Determining an Initial Feasible Solution -- 6. Further Considerations -- 7. Assessment of Performance -- 8. Conclusion -- Appendix A. Tableaux for Example 2.1 -- Appendix B. Tableaux for Example 2.2 -- References.
Sommario/riassunto: 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.
Titolo autorizzato: Advancing parametric optimization  Visualizza cluster
ISBN: 3-030-61821-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484421303321
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Serie: SpringerBriefs in Optimization, . 2190-8354