Add to ORKGThese lecture notes where presented as a course of the CIMPA summer school in Manila, July 20-30, 2009, Semidefinite programming in algebraic combinatorics. This version is an update June 2010
Since the early 1960s, polyhedral methods have played a central role in both the theory and practice...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
Semidefinite programming (SDP) is an extension of linear programming, with vector variables replaced...
Lecture notes for the tutorial at the workshop HPOPT 2008 - 10th International Workshop on High Perf...
This handbook offers a broad, advanced overview of the current state of Semidefinite Programming, in...
This chapter provides the reader with the necessary background for dealing with semidefinite program...
Une nouvelle borne supérieure sur le cardinal des codes de sous-espaces d'un espace vectoriel fini e...
SIGLEAvailable from TIB Hannover: RR 8071(97-10) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - ...
We survey how semidefinite programming can be used for finding good approximative solutions to hard ...
We survey how semidefinite programming can be used for finding good approximative solutions to hard...
We discuss the use of semidefinite programming for combinatorial optimization problems. The main top...
In semidefinite programming one minimizes a linear function subject to the constraint that an affine...
Semidefinite programming (SDP) may be seen as a generalization of linear programming (LP). In partic...
ces, Rice University, Houston, TX, 1990. [74] R.B. Wilson. A simplicial algorithm for concave progra...
Thesis (Ph.D.), Department of Mathematics, Washington State UniversityDepartment of Mathematics, Was...
Since the early 1960s, polyhedral methods have played a central role in both the theory and practice...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
Semidefinite programming (SDP) is an extension of linear programming, with vector variables replaced...
Lecture notes for the tutorial at the workshop HPOPT 2008 - 10th International Workshop on High Perf...
This handbook offers a broad, advanced overview of the current state of Semidefinite Programming, in...
This chapter provides the reader with the necessary background for dealing with semidefinite program...
Une nouvelle borne supérieure sur le cardinal des codes de sous-espaces d'un espace vectoriel fini e...
SIGLEAvailable from TIB Hannover: RR 8071(97-10) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - ...
We survey how semidefinite programming can be used for finding good approximative solutions to hard ...
We survey how semidefinite programming can be used for finding good approximative solutions to hard...
We discuss the use of semidefinite programming for combinatorial optimization problems. The main top...
In semidefinite programming one minimizes a linear function subject to the constraint that an affine...
Semidefinite programming (SDP) may be seen as a generalization of linear programming (LP). In partic...
ces, Rice University, Houston, TX, 1990. [74] R.B. Wilson. A simplicial algorithm for concave progra...
Thesis (Ph.D.), Department of Mathematics, Washington State UniversityDepartment of Mathematics, Was...
Since the early 1960s, polyhedral methods have played a central role in both the theory and practice...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
Semidefinite programming (SDP) is an extension of linear programming, with vector variables replaced...