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Bearings' behaviour is described using Reynolds equation, which is solved numerically.
Moreover, the controlling voltage adjustment model is established, which is solved by sensitivity analysis.
A mixed integer formulation is developed which is solved using standard B&B techniques.
This is a bicriteria optimization problem which is solved by formulating a nonlinear mathematical program.
Mathematically the model forms a system of differential-algebraic equations (DAEs), which is solved computationally.
The STATCOM parameter tuning problem is converted to an optimization problem which is solved by ICA.
It is a nonlinear integral equation which is solved by numerical computation.
The problem is formulated as a multiobjective optimisation one, which is solved with an evolutionary algorithm.
This problem gives rise to a generalized eigenvalue formulation which is solved through two approaches.
The problem is formulated as a multiobjective optimization problem, which is solved with an evolutionary algorithm.
A detailed PAH growth model is developed, which is solved using a kinetic Monte Carlo algorithm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com