| 期刊全称 | Advancing Parametric Optimization | | 期刊简称 | On Multiparametric L | | 影响因子2023 | Nathan Adelgren | | 视频video | | | 发行地址 | Theory merges many concepts from mathematical optimization and algebraic geometry.Answers many natural questions that might occur to the reader.Extensive bibliography provides additional topical resou | | 学科分类 | SpringerBriefs in Optimization | | 图书封面 |  | | 影响因子 | 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 | | Pindex | Book 2021 |
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发表于 2025-3-21 18:39:38
