Sentence examples for formulated parameters from inspiring English sources

More characteristics in the process were revealed by the newly formulated parameters, which could be seen from the comparison of the results by parameter analysis and numerical simulation.

To obtain this goal, we present known parameters and newly formulated parameters that are based directly on the quantitative phase profile of the cell and are able to uniquely quantify various cell behaviors.

In general, the formulated parameters provides label-free non-contact tools that can be used to obtain insights about cells behavior and help with unsolved problems in cell biology such as individual cell growth regulation [ 14].

It can be used to predict and evaluate different scenarios for LULC change, to formulate parameters and variables and perceive patterns and their correlations (Yang et al., 2012; Kamusoko et al., 2009).

When properly formulated, these parameters predicted number of cycles to crack initiation and location of crack initiation which were in agreement with the experimental counterparts.

The inverse problems are formulated into parameter-identification problems, in which a set of parameters corresponding to the characteristics can be found by minimizing error functions formulated using the measured dynamic behaviors of structures and that computed using forward solvers based on projected candidates of parameters.

To overcome these limitations, parameter estimation for rate equation models of biochemical networks can be formulated as parameter estimation for nonlinear state-space models that consist of two types of variables: state variables (hidden variables) and observed variables, and two types of equations: system equations and observation equations [19].

The obtained stability condition is formulated for parameter-dependent Lyapunov function.

For the most promising design, we formulated a parameter optimization to calculate the most suitable dimensions for the cube and the inertia elements.

The stabilizing conditions with respect to both the classes of Lyapunov functions can be formulated as parameter-dependent linear matrix inequalities (PDLMIs), which can be efficiently solved by the sum-of-squares (SOS) technique.

Here, we formulated the parameter estimation as a nested optimization problem.