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In particular, our results can be applied to relaxation and minimization problems in BV, BD and divergence-free spaces.
We present a theorem which demonstrates that the computation of optimum exact designs corresponds to solving minimization problems in terms of design measures.
Moreover, we also apply our results to a system of convex minimization problems in reflexive Banach spaces.
The purpose of this paper is to propose a modified proximal point algorithm for solving minimization problems in Hadamard spaces.
As a direct consequence of Theorem 3.1, we also obtain the following result concerning a system of convex minimization problems in reflexive Banach spaces: Theorem 3.2.
Indeed, as delay minimization problems in IDNC-based systems are equivalent to a maximum weight clique problems in the IDNC graph, the presented algorithms can be applied to different delay aspects and network settings.
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This results in a minimization problem in which we minimize both and.
The bi-convex minimization problem in Eq. (5) can be solved via coordinate descent without any additional priors or optimization schedule tricks.
The problem is reformulated to a minimization problem in one dimension.
This paper addresses the makespan minimization problem in scheduling flexible job shops whenever there exist separable sequence-dependent setup times.
The optimized local basis functions are obtained by solving a minimization problem in an admissible set determined by a large number of primitive basis functions.
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