Sentence examples for increase the computational cost from inspiring English sources

The phrase "increase the computational cost" is correct and usable in written English.
It can be used in contexts related to computer science, algorithms, or any situation where the efficiency or resource usage of a process is being discussed.
Example: "Implementing this new feature will likely increase the computational cost of our application."
Alternatives: "raise the computational expense" or "escalate the processing cost."

Exact(15)

The modifications do not dramatically increase the computational cost of simulation.

However, in situations related with (optimal) acoustic design, the need to evaluate multiple simulations may increase the computational cost.

Both of these lead to large number of function evaluations which can significantly increase the computational cost.

Adding more and more structures reduces only marginally the average ΔNGDT, but with the drawback that in a hypothetical algorithm one would have to consider a very large number of branches which would increase the computational cost.

Employing numerical derivatives in an iteration not only increase the computational cost, but also deteriorate the convergence rate and robustness of the iteration due to their numerical error.

These datasets typically feature many degrees of freedom, which tends to increase the computational cost of statistical methods and complicate interpretation.

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Similar(45)

This fact imposes the evaluation of complex functions for the computation of their coefficients which increases the computational cost when they are implemented in variable step-size.

Without a so-called stopping criterion, the computer simulation just keeps on going and this inevitably increases the computational cost.

Moreover, those methods all need to perform the main computation by the kernel function in linear feature space, which increases the computational cost.

This significantly increases the computational cost of any analysis.

This complexity increased the computational cost of the models demanding the development of efficient solution techniques.

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