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In contrast, we give the robust reformulation and reformulate the problem as a quadratically constrained quadratic program or convex program with a conic quadratic inequality quadratic program, which is tractable in optimization theory.
Therefore, we reformulate the problem monolithically.
In Section 2, we reformulate the problem.
In this section, we will first reformulate the problem.
We reformulate the problem as a system of nonlinear equations and apply Leray-Schauder degree theory.
Therefore, it is convenient to reformulate the problem based directly on this metric.
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Based on the Maximum Principle for parabolic equations and on the time convolution structure, we reformulate the problems under consideration as certain asymmetric games, which become the main object of our study in this paper.
He first reformulated the problem in terms of one of the unknowns, and he then manipulated it as if it were known until an explicit value for the unknown emerged.
The proposed algorithm is based on reformulating the problem as a monotonic optimization problem.
On the other hand, Equation 13 reformulates the problem of Equation 12.
The present paper reformulates the problem in order to relax the stability constraints by invoking appropriate terminal inequalities.
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