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The design procedure is posed as a quadratic programming problem with linear and quadratic constraints that can be solved using convex optimization packages.
The extension to other convex loss functions, in particular the logit loss function, results in convex optimization problems with linear constraints that can be solved with general convex optimization solvers (Boyd and Vandenberghe, 2004).
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The final problem is reduced to an objective function with a non-negative constraint that can be solved efficiently using the LARS/homotopy algorithm.
The final problem is reduced to an objective function with a non-negative constraint that can be solved efficiently using the LARS/homotopy algorithm, which is, in general, faster than QP [19] and LP [17].
By relaxing the time-window constraints, a relaxation model that can be solved using an off-the-shelf mixed integer programming (MIP) solver is obtained to provide a lower bound on the 3E-LRPTWTBC.
In the case of synchronization verification, the timing constraints can be formulated with equalities/inequalities that can be solved by integer linear programming (ILP) tools.
Multiple constraints in SPMs are considered a problem that can be solved in a nondeterministic polynomial time.
ILP itself is NP-hard, but replacing the integrality constraints on the x and y variables with 0 ≤ x u, y uv ≤ 1 gives an LP that can be solved in polynomial time.
Mr. Allen said, "This is a case that can be solved".
This is a problem that can be solved.
Are insider data breaches a problem that can be solved?
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