Since extraneous variables were minimized, strong internal validity was assured.
In addition, because our analysis examined the change in efficiency over time, rather than the level of efficiency, and many characteristics of health centers (e.g., ownership, economic situation where heath centers are located) did not change over time, possible biases from omitted variables were minimized.
Closed-loop optimal control therefore becomes feasible because the number of optimization variables is minimized.
The error between the experimental and model contact variables was minimized to 5.4%.
The considered model is a seven DOF full-car vertical model subject to unknown ground disturbances whose effects on the estimated state variables are minimized using the H∞ framework.
By the m-block partition algorithm, the dependencies among groups of state variables are minimized and switching activity is further reduced by assigning the codes of the states in the same group considering the state transition probability among the states.
Industrial water networks are designed in the first part by a multiobjective optimization strategy, where fresh water, regenerated water flow rates as well as the number of network connections (integer variables) are minimized.
In conclusion, we found that it is possible and beneficial to identify a specific extent, where the redundancy in the predictor variables is minimized and the explanatory power of the pure fractions (or single groups) maximized, when examining landscape structure effects on local plant species richness.
The first one addresses the problem of algorithm organization and transformation so that the life spans of temporary variables are minimized.
The main task of the data assimilation algorithm is to receive the output from sensors and change parameters in the model until the difference between the output of the model and the measured variables is minimized.
In the proposed method, for assisting the economic aspects of the process improvement, the type of controllable factors was accounted for, and using this approach, the overall output quality of the process was maximized while the usage of input variables was minimized.
