Semidefinite Programming for Approximate Maximum Likelihood Sinusoidal Parameter Estimation
EURASIP Journal on Advances in Signal Processing, 2009 We study the convex optimization approach for parameter estimation of several sinusoidal models, namely, single complex/real tone, multiple complex sinusoids, and single two-dimensional complex tone, in the presence of additive Gaussian noise.
Kenneth W. K. Lui, H. C. So
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A Reduced Semidefinite Programming Formulation for HA Assignment Problems in Sport Scheduling
Trends in Computational and Applied Mathematics, 2018 Home-Away Assignment problems are naturally cast as quadraticpro gramming models in binary variables. In this work we compare alternative formulations for this kind of problems.
Hugo José Lara +2 more
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On Semidefinite Programming Relaxations of Association Schemes With Application to Combinatorial Optimization Problems [PDF]
AMS classification: 90C22, 20Cxx, 70-08traveling salesman problem;maximum bisection;semidefinite programming;association ...
Klerk, E. de, Pasechnik, D.V.
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Exploiting Group Symmetry in Truss Topology Optimization [PDF]
AMS classification: 90C22, 20Cxx, 70-08truss topology optimization;semidefinite programming;group ...
Bai, Y.Q. +3 more
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Semidefinite Programming and Constraint Programming [PDF]
, 2011 Recently, semidefinite programming relaxations have been applied in constraint programming to take advantage of the high-quality bounds and precise heuristic guidance during the search for a solution. The purpose of this chapter is to present an overview of these developments, and to provide future research prospects.
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Product Theorems Via Semidefinite Programming
, 2008 Typos corrected, some points ...
Lee, Troy, Mittal, Rajat
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International Journal of Electrical Power & Energy SystemsWith the accelerating integration of distributed energy resources (DERs) into grids, enhanced bidirectional interactions between distribution and transmission systems have significantly complicated grid coordination.
Zhe Chen +5 more
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Matrix convex functions with applications to weighted centers for semidefinite programming [PDF]
In this paper, we develop various calculus rules for general smooth matrix-valued functions and for the class of matrix convex (or concave) functions first introduced by Loewner and Kraus in 1930s.
Brinkhuis, J., Luo, Z-Q., Zhang, S.
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Decomposition-Based Method for Sparse Semidefinite Relaxations of Polynomial Optimization Problems [PDF]
We consider polynomial optimization problems pervaded by a sparsity pattern. It has been shown in [1, 2] that the optimal solution of a polynomial programming problem with structured sparsity can be computed by solving a series of semidefinite ...
Berc Rustem +2 more
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On Semidefinite Programming Relaxations of the Travelling Salesman Problem (Replaced by DP 2008-96) [PDF]
AMS classification: 90C22, 20Cxx, 70-08traveling salesman problem;semidefinite programming;quadratic as- signment ...
Klerk, E. de +2 more
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