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The physical meaning of g is related to the distribution of relaxation times; for example, in our case if g = 0 this means that the Gaussian distribution will tend to have unique value corresponding to 1D conduction with only one definite relaxation time and no localization of charges.
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The corresponding semi-definite relaxation formulation is written as maximize u, (29a).
Thus it is required to convert the semi-definite relaxation solution to some Boolean solution.
We can perform semi-definite relaxation through removing rank constraint (19e) [45].
Thereafter, the semi-definite relaxation (SDR) method and the penalty function (PenFun) method are adopted to solve the problem efficiently.
A semi-definite relaxation technique is used to transform the nonconvex TLS problem into an equivalent convex semidefinite program (SDP).
For this purpose, we design a bi-level optimization algorithm to search the optimal beamforming vector and jamming vector for the relays via the semi-definite relaxation (SDR).
For this purpose, we design a based bi-level optimization algorithm to search the optimal beamforming vector and jamming vector for the relays via the semi-definite relaxation.
Their approach is based on semi-definite relaxation to these problems in concert with expander flows and has influenced much subsequent research.
Although this problem is non-convex and in general difficult to be solved, we obtain its optimal solution via the technique of semi-definite relaxation (SDR) together with a one-dimensional (1-D) search.
Computer simulations are included to contrast the estimation performance of the proposed semi-definite relaxation methods with the iterative quadratic maximum likelihood technique as well as Cramér-Rao lower bound.
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