Sentence examples for expensive functions from inspiring English sources

Advanced knowledge from the fields of simulation and optimisation of expensive functions can be very useful when systematically applied to GP.

In this algorithm, the surrogate models are used to generate computationally inexpensive approximations to computationally expensive functions that quantify a decision-maker's safety and travel time objectives.

There are at least two important factors to be considered with any interactive method: computationally expensive functions and aspects of human behavior.

The optimization method employed is a tailored version of the surrogate management framework, a method that was developed previously for expensive functions with little or no gradient information.

For such expensive functions, it is much cheaper to search for zeros of fN, which can be evaluated in O(N) operations, than to iterate or look for sign changes on a fine grid with f itself.

Thus, time-efficient approximate model is particularly important for expensive function evaluation.

The method replaces the expensive function evaluations by a rapidly computable approximator based on a Gaussian process (GP) interpolator.

The proposed ANN based surrogate is nearly 1.5 times as efficient as Kriging model in terms of number of expensive function evaluations.

Results showed that a large increase in the allowable step size may be used with increased accuracy over the Euler method with the need for fewer expensive function evaluations.

Our strategy of replacing f by fN is similar to Lanczos economization of power series, which also replaces an expensive function by a Chebyshev approximation that is more rapidly evaluated.

Consequently, using the Bayesian likelihood optimized the local Bayes factor but gave a worse global Bayes factor than the maximum likelihood approach, which also has less expensive function evaluations.