Results 91 to 100 of about 33,726 (205)
Finite quantum tomography via semidefinite programming
, 2007 Using the the convex semidefinite programming method and superoperator formalism we obtain the finite quantum tomography of some mixed quantum states such as: qudit tomography, N-qubit tomography, phase tomography and coherent spin state tomography ...
A. C. Doherty +26 more
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Adaptive Clustering through Semidefinite Programming
, 2017 We analyze the clustering problem through a flexible probabilistic model that aims to identify an optimal partition on the sample X 1 , ..., X n. We perform exact clustering with high probability using a convex semidefinite estimator that interprets as a
Royer, Martin
core
Online Local Learning via Semidefinite Programming
, 2014 In many online learning problems we are interested in predicting local information about some universe of items. For example, we may want to know whether two items are in the same cluster rather than computing an assignment of items to clusters; we may ...
Blum A., Hazan E., Kulis Brian, Niu Gang
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A Relaxed Interior Point Method for Low-Rank Semidefinite Programming Problems with Applications to Matrix Completion. [PDF]
J Sci Comput, 2021 Bellavia S, Gondzio J, Porcelli M.
europepmc +1 more source
Exploiting Group Symmetry in Semidefinite Programming Relaxations of the Quadratic Assignment Problem [PDF]
We consider semidefinite programming relaxations of the quadratic assignment problem, and show how to exploit group symmetry in the problem data. Thus we are able to compute the best known lower bounds for several instances of quadratic assignment ...
Klerk, E. de, Sotirov, R.
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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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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 Polynomial Optimization Approach to Constant Rebalanced Portfolio Selection [PDF]
We address the multi-period portfolio optimization problem with the constant rebalancing strategy. This problem is formulated as a polynomial optimization problem (POP) by using a mean-variance criterion.
Sotirov, R., Takano, Y.
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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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GloptiPoly 3: moments, optimization and semidefinite programming
, 2007 We describe a major update of our Matlab freeware GloptiPoly for parsing generalized problems of moments and solving them numerically with semidefinite ...
Henrion, Didier +2 more
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