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Washington StateUniversity
Thesis (Ph.D.), Department of Mathematics, Washington State UniversityDepartment of Mathematics, Washington State Universit
The semidefinite programming is an optimization approach where optimization problems are formulated ...
This handbook offers a broad, advanced overview of the current state of Semidefinite Programming, in...
ces, Rice University, Houston, TX, 1990. [74] R.B. Wilson. A simplicial algorithm for concave progra...
Thesis (Ph.D.), Department of Mathematics, Washington State UniversityStochastic semidefinite progra...
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...
SIGLEAvailable from TIB Hannover: RR 8071(97-10) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - ...
These lecture notes where presented as a course of the CIMPA summer school in Manila, July 20-30, 20...
Semidefinite programming (SDP) is an extension of linear programming, with vector variables replaced...
In this paper we consider the problem of worst-case simulation for a discrete-time system with struc...
An Interior-Point Perspective on Sensitivity Analysis in Semidefinite Programmin
In semidefinite programming one minimizes a linear function subject to the constraint that an affine...
http://deepblue.lib.umich.edu/bitstream/2027.42/3641/5/bbl3540.0001.001.pdfhttp://deepblue.lib.umich...
This paper presents semidefinite programming approaches for computing confidential bounds for the dy...
Proposes a decision making under uncertainty approach for treating linear programming under uncertai...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
This handbook offers a broad, advanced overview of the current state of Semidefinite Programming, in...
ces, Rice University, Houston, TX, 1990. [74] R.B. Wilson. A simplicial algorithm for concave progra...
Thesis (Ph.D.), Department of Mathematics, Washington State UniversityStochastic semidefinite progra...
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...
SIGLEAvailable from TIB Hannover: RR 8071(97-10) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - ...
These lecture notes where presented as a course of the CIMPA summer school in Manila, July 20-30, 20...
Semidefinite programming (SDP) is an extension of linear programming, with vector variables replaced...
In this paper we consider the problem of worst-case simulation for a discrete-time system with struc...
An Interior-Point Perspective on Sensitivity Analysis in Semidefinite Programmin
In semidefinite programming one minimizes a linear function subject to the constraint that an affine...
http://deepblue.lib.umich.edu/bitstream/2027.42/3641/5/bbl3540.0001.001.pdfhttp://deepblue.lib.umich...
This paper presents semidefinite programming approaches for computing confidential bounds for the dy...
Proposes a decision making under uncertainty approach for treating linear programming under uncertai...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
This handbook offers a broad, advanced overview of the current state of Semidefinite Programming, in...
ces, Rice University, Houston, TX, 1990. [74] R.B. Wilson. A simplicial algorithm for concave progra...
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