"Instead of isolating the specific variables and using one effect, magicians lump everything together, putting illusions on top of illusions," says Martinez-Conde.
By introducing slack variables and using parameter dependent Lyapunov functions, the design conservativeness is reduced compared with other existing MPC approaches.
In addition, a sensitivity analysis is performed using a method that consists of transforming the data parameters into artificial variables, and using the dual associated variables.
In addition, a sensitivity analysis is performed using a method that consists of transforming the data parameters into artificial variables and using the dual associated problem.
Comparative study by Student´s t-test for quantitative variables and using chi square test and Fisher test for qualitative variables.
Data were presented in tables of frequency distribution for discrete variables, and using the average and standard deviation for continuous variables.
Therefore, we checked the underlying structure of the data matrix by analyzing the interrelationships of variables and using the information collected to explain the interrelationships.
We formulated the offline throughput maximization problem and solved it with the aid of added slack variables and using an iterative algorithm.
By introducing an auxiliary function of two variables and using a Riccati transformation, we establish some Kamenev type (cf. Philos [24]) interval oscillation criteria.
By defining new variables and using the linear chain trick technique, the original model (1.2) can be rewritten as the equivalent ordinary differential equations (2.2) without delay.
SVM models, on the other hand, are sensitive to the number of input variables, and using a smaller descriptor set have, in general, better predictive power than larger descriptor sets.
