Ergebnisse für: semidefinite programming
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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 programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice. They play a key role in a variety of research areas, such as combinatorial optimization, approximation algorithms, computational complexit...
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...
Mixed-integer semidefinite programming (MISDP) has been an active research area in recent years, with MISDP formulations ap- pearing in many different applications and often being tackled by problem-specific solution approaches. On the contrary, there is still a severe lack in both theory and softwa...
Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice. They play a key role in a variety of research areas, such as combinatorial optimization, approximation algorithms, computational complexit...
Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice. They play a key role in a variety of research areas, such as combinatorial optimization, approximation algorithms, computational complexit...
Die semidefinite Programmierung mit gemischten ganzen Zahlen (MISDP) war in den letzten Jahren ein aktives Forschungsgebiet. MISDP-Formulierungen tauchten in vielen verschiedenen Anwendungen auf und wurden häufig durch problemspezifische Lösungsansätze angegangen. Im Gegenteil, es gibt immer noch...
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...
Mixed-integer semidefinite programming is an evolving field of research. Classical combinatorial optimization problems as well as various different applications can be modeled using semidefinite programs. One such application which can be modeled as semidefinite program (SDP) is the optimization of ...
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...
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...
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...