The gasoline engine was originally selected for automobiles because it could operate more flexibly over a wide range of speeds, and the power developed for a given weight engine was reasonable; it could be produced by economical mass-production methods; and it used a readily available, moderately priced fuel.
An object in the O-O approach is a neurocomputing model of a structural component developed for a given set of parameterized design variables, loading, and "smart" connectors.
In this study, a new duct is developed, for a given turbine design, that reduces the variation in torque over a cycle by appropriately directing the flow upstream and downstream the turbine while increasing power conversion.
In particular, a mixed-integer nonlinear model is first developed for a given service frequency and ship type; two linearization techniques are subsequently presented to approximate this model with a mixed-integer linear program; and the branch-and-bound approach controls the approximation error below a specified tolerance.
After confidence conclusions are developed for a given outcome, conclusions for multiple outcomes are developed.
The restricted sense we adopt here relates to the technical support that has been developed for a given policy to run smoothly: 'material' or bureaucratic tools [ 39], or formal procedures (such as the 'logical framework') [ 40].
By controlling the size, shape, surface, and agglomeration state of the NPs, specific ion release profiles can be developed for any given application.
The latter exercise enables categorisation of models with respect to their performance if more than one model is available, or developed, for any given task.
Algorithms can be specifically developed for any given concept or content area using established natural language processing and linguistic concordance techniques.
Variations on univariate feature-selection methods and choice of classification algorithm have only a modest impact on predictor performance, and several statistically equally good predictors can be developed for any given classification problem.
