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Our eigenmode compression pipeline is based on nonlinear optimization of Moving Least Squares (MLS) approximations.
One algorithm based on nonlinear optimization is provided to solve the supply chain network design problem.
Further, the optimization algorithm is presented based on nonlinear optimization program.
The individual geometries of the imaging chains are estimated from the phantom projection images using analytical methods followed by a refinement procedure based on nonlinear optimization.
This procedure of manual fitting was chosen initially to assess the likely success of an automated fitting algorithm based on nonlinear optimization.
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In this paper we present one such method that was designed based on nonlinear global optimization techniques.
In particular, we employ a theoretical methodology proposed by Bianchi and Torriero in [19] based on nonlinear global optimization problems solved through majorization techniques.
The capability of spectral methods to deal with the modal identification of non-stationary systems is enhanced by a curve-fitting procedure based on nonlinear least squares optimization.
Traditionally, classical optimization algorithms based on nonlinear programming or optimal control theories are applied to obtain the solution of such problems.
An adaptive particle swarm optimization based on nonlinear time-varying acceleration coefficients (NTVAC-PSO) is proposed for solving global optimization problems and damping of power system oscillations.
This framework is based on nonlinear programming concepts, including bilevel optimization, and extends the application domain of classical operability approaches to process simulator runs (Aspen Plus) for obtaining the relationship between input and output spaces, in addition to first-principles models.
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CEO of Professional Science Editing for Scientists @ prosciediting.com