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This novel formulation requires less binary variables and continuous variables to formulate a problem, resulting in lower computation times.
In this paper, we formulate a problem of distributed tracking with consensus on a time-varying graph with incomplete data and noisy communication links.
Our first attempts to formulate a problem statement and to identify energy needs indicate that there are many assumptions in current literature.
Motivated by FPGA (Field-Programmable Gate Array) architecture we formulate a problem of cyclic scheduling on one dedicated processor where tasks are constrained by the precedence delays.
To investigate the ability to control a system using the proposed distribution-based control approach, we formulate a problem using the real-valued voter model within the NCP framework described by [3].
To address the semantic gap issues, we formulate a problem on learning contextualized semantics from descriptive terms and propose a novel Siamese architecture to model the contextualized semantics from descriptive terms.
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We focus on methods for formulating a problem rather then for solving an already formulated problem.
In the 'Problem formulation' section, we propose an energy utility function and formulate an optimize problem.
Let us formulate an equilibrium problem for an elastic plate containing a volume rigid inclusion.
After that, we formulate an optimization problem to minimize the overall energy consumption.
We formulate an optimization problem to allocate dependency links using least resources.
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CEO of Professional Science Editing for Scientists @ prosciediting.com