Share
Advancing Parametric Optimization: On Multiparametric Linear Complementarity Problems With Parameters in General Locations (Springerbriefs in Optimization)
Nathan Adelgren
(Author)
·
Springer
· Paperback
Advancing Parametric Optimization: On Multiparametric Linear Complementarity Problems With Parameters in General Locations (Springerbriefs in Optimization) - Adelgren, Nathan
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Friday, July 19 and
Friday, July 26.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Advancing Parametric Optimization: On Multiparametric Linear Complementarity Problems With Parameters in General Locations (Springerbriefs in Optimization)"
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
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.