Ergebnisse für: nonlinear scalarization

Hier findest Du Bücher, die sich mit nonlinear scalarization beschäftigen.

Buch Cover Scalarization and Separation by Translation Invariant Functions
Christiane Tammer, Petra Weidner
Springer International Publishing
106.99 € · Hardcover
Separation Theorems Vector Optimization Functional Analysis Variational Analysis Decision Making quantitative finance
Like norms, translation invariant functions are a natural and powerful tool for the separation of sets and scalarization. This book provides an extensive foundation for their application. It presents in a unified way new results as well as results which are scattered throughout the literature. The f...
Buch Cover Variable Ordering Structures in Vector Optimization
This book provides an introduction to vector optimization with variable ordering structures, i.e., to optimization problems with a vector-valued objective function where the elements in the objective space are compared based on a variable ordering structure: instead of a partial ordering defined by ...
Buch Cover Scalarization and Separation by Translation Invariant Functions
Like norms, translation invariant functions are a natural and powerful tool for the separation of sets and scalarization. This book provides an extensive foundation for their application. It presents in a unified way new results as well as results which are scattered throughout the literature. The f...
Buch Cover Variable Ordering Structures in Vector Optimization
This book provides an introduction to vector optimization with variable ordering structures, i.e., to optimization problems with a vector-valued objective function where the elements in the objective space are compared based on a variable ordering structure: instead of a partial ordering defined by ...
Buch Cover Variable Ordering Structures in Vector Optimization
This book provides an introduction to vector optimization with variable ordering structures, i.e., to optimization problems with a vector-valued objective function where the elements in the objective space are compared based on a variable ordering structure: instead of a partial ordering defined by ...

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