Sentence examples for simple optimization method from inspiring English sources

Because the resultant sensitivity expression obtained by this procedure already compromises the effects of all the equality displacement constraints, a simple optimization method, such as the optimality criteria method, can then be used to implement an area constraint.

To reduce the computing time needed to select the equalizer length, a simple optimization method is introduced to minimize the kurtosis and smoothness index, respectively.

Comparison of the optimum designs with the initial and industrial design reveals that better than the proposed performance can be obtained by a simple optimization method.

Herein, we present a universal and simple optimization method to simultaneously reduce flow maldistribution, asymmetry, and parasitic pressure in Z-type parallel configurations of fuel cells or fuel cell stacks that has improved scalability relative to previous methods.

Due to the rapid advance of general-purpose graphics processing unit (GPU), it is an active research topic to study performance improvement of non-linear optimization with parallel implementation on GPU, as attested by the much research on parallel implementation of relatively simple optimization methods, such as the conjugate gradient method.

Additionally, a new simple yet efficient optimization method that can jointly optimize the magnitude of the perturbations for a large number of regions is proposed.

The genetic algorithm is a simple and interesting optimization method for a wide variety of computer vision problems.

The gradient (P,S) is derived analytically by functional differentiation of the governing equation with respect to S, where both P and the deflection (W) are considered as functionals of S. It is found that P,S is a functional of W and is not dependent explicitly on S. The P,S is combined with a simple gradient projection optimization method and a finite element program.

In earlier researches, simple but efficient optimization method, e.g., Rachardson-Lucy (RL) algorithm, was adopted to solve the problem [28]; however, the deblurring results often suffer from ringing artifacts.

To find a global minimum for the fit to the data, we first choose to use one of the simpler fit optimization methods: Neldermead.

In the context of the linlog metabolic modeling framework, we implement the identification method by an Expectation-Maximization (EM) algorithm and by a simpler direct numerical optimization method.