Sentence examples for numerical optimization methodology from inspiring English sources

Previously the authors proposed and numerically tested a new fundamental numerical optimization methodology, for determining optimum feasible geometries of a planar re-configurable Gough Stewart machining platform for kinematically prescribed tool paths.

Three responses were simultaneously studied by numerical optimization methodology.

Moreover, the two responses were simultaneously studied by using a numerical optimization methodology.

There were made two applications of the numerical optimization methodology, both on H-shaped adhesively bonded joints subjected to quasi-static load.

Numerical examples illustrating the optimization methodology in the case of thermo-elastic stress loads are presented.

This paper presents a methodology based on numerical optimization techniques for simultaneously optimizing design parameters of a two-link planar rigid manipulator and a nonlinear gain PD controller designed for performing multiple tasks.

Numerical results show that the optimization methodology proposed in this study can find the globally optimum laminate designs even with a high number of design variables.

In this article, using the Fabry Perot resonance condition and numerical optimization, we demonstrate a design methodology of 1D grating structure that provides resonance at a desired wavelength for Transverse Magnetic (TM) polarization.

In presenting the fundamental optimization methodology, relative simple numerical experiments are performed, in order to illustrate the feasibility of the proposed optimization approach to the design problem.

Due to the large dimension of numerical problems to be solved, an optimization methodology was developed employing the method of experimental design and response surface technique.

The optimal values of important variables were determined by response surface methodology (RSM) and numerical optimization.