Ergebnisse für: Semidefinite Optimization
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Semidefinite Optimization has attracted the attention of many researchers over the last twenty years. It has nowadays a huge variety of applications in such different fields as Control, Structural Design, Statistics, or in the relaxation of hard combinatorial problems. In this thesis, we focus on th...
Algorithms for computing lower and upper bounds of global optimal value, as well as enclosures of ε-optimal solutions in semidefinite programming are presented. Suggested verification methods are successfully applied to the electronic structure problem (RDM formulation) to calculate a lower bound o...
Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time interior-point metho...
Semidefinite programming has been described as linear programming for the year 2000. It is an exciting new branch of mathematical programming, due to important applications in control theory, combinatorial optimization and other fields. Moreover, the successful interior point algorithms for linear p...
Semidefinite programming (SDP) is one of the most exciting and active research areas in optimization. It has and continues to attract researchers with very diverse backgrounds, including experts in convex programming, linear algebra, numerical optimization, combinatorial optimization, control th...
Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time interior-point metho...
Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time interior-point metho...
In modern engineering, lightweight construction is used to design load-carrying systems with the smallest possible amount of material (e.g. automobile bodies, airplane carriages, space vehicles). Since load-carrying constructions are often safety-relevant, uncertain events shall not lead to undesira...
Semidefinite programming has been described as linear programming for the year 2000. It is an exciting new branch of mathematical programming, due to important applications in control theory, combinatorial optimization and other fields. Moreover, the successful interior point algorithms for linear p...
Semidefinite programming has been described as linear programming for the year 2000. It is an exciting new branch of mathematical programming, due to important applications in control theory, combinatorial optimization and other fields. Moreover, the successful interior point algorithms for linear p...
Semidefinite programming (SDP) is one of the most exciting and active research areas in optimization. It has and continues to attract researchers with very diverse backgrounds, including experts in convex programming, linear algebra, numerical optimization, combinatorial optimization, control th...
Semidefinite programming (SDP) is one of the most exciting and active research areas in optimization. It has and continues to attract researchers with very diverse backgrounds, including experts in convex programming, linear algebra, numerical optimization, combinatorial optimization, control th...
The fundamental goal of this thesis is to show how structural vibrations in
mechanical systems with uncertain time-dependent inputs can be reduced
by using topology optimization and simultaneously designing optimal feedback
controllers via nonlinear semidefinite programming.
Structural vibrations a...
The fundamental goal of this thesis is to show how structural vibrations in
mechanical systems with uncertain time-dependent inputs can be reduced
by using topology optimization and simultaneously designing optimal feedback
controllers via nonlinear semidefinite programming.
Structural vibrations a...
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Symposium on Combinatorial Optimization, ISCO 2016, held in Vietri sul Mare, Italy, in May 2016. The 38 revised full papers presented in this book were carefully reviewed and selected from 98 submissio...
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Symposium on Combinatorial Optimization, ISCO 2016, held in Vietri sul Mare, Italy, in May 2016. The 38 revised full papers presented in this book were carefully reviewed and selected from 98 submissio...
This book constitutes the
refereed proceedings of the 18th International Conference on Integer
Programming and Combinatorial Optimization, IPCO 2016, held in Liège, Belgium,
in June 2016. The 33 full papers presented were carefully reviewed and selected
from 125 submissions. The conference is a for...