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(e) Update by solving the convex problem.
(d) Update by solving the convex problem.
The optimal policy that maximizes throughput in an energy harvesting multi-pair relay channel can be found by solving the convex problem in Equation 3 with K=2.
The SVMs solve the over-fitting issues by introducing kernel function and try to get the global optimal solution by solving the convex optimization problems.
This is accomplished by solving the convex optimization: min f | ∇ f | subject to f i = l i for i ∈ L and ∇ f i ∼ ≤ γ (3).
The proposed probability-dependent gain scheduled controller can be designed by solving the convex optimization problem by means of a set of LMIs, which can be easily solved by using some standard numerical packages.
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When R c =0, the maximum R 0 can be derived by solving the same convex optimization problem as (6). .
It has been shown that the signal can be accurately recovered by solving the following convex minimization program: begin{array}{*{20}l} &min|hat{mathbf{x}}|_{1} &text{s.t.
Let (16a) be satisfied, then (bar lambda _{2,i}^{k + 1}) can be uniquely attained by solving the following convex problem: begin{aligned} bar lambda_{2,i}^{k + 1} &= mathop {arg min }limits_{{{bar lambda }_{2,i}} in {{mathbf{chi }}_{i}}} left{ {f_{i}}left({{{bar lambda }_{2,i}}} right) + frac{1}{{2rho left({{P_{i}} + {S_{i}}} right)}}right.
In these works, the sparse signal is estimated by solving the following convex unconstrained problem min_{mathbf{x}in mathbb{R}^{n}}sigmasumlimits_{i=1}^{m}rho left(frac{y_{i}-mathbf{phi}_{i}^{T}mathbf{x}}{sigma}right)+lambda| mathbf{x}|_{1}, (30).
We propose an iterative linear matrix inequality (LMI) algorithm to find a near optimal noise shaping IIR filter by solving the non-convex design problem.
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