The phrase "an exact computation" is correct and usable in written English.
You can use it when referring to a precise calculation or numerical result in mathematical or technical contexts.
Example: "To ensure accuracy in our results, we need to perform an exact computation of the data collected during the experiment."
Alternatives: "a precise calculation" or "an accurate computation".
The method leads, in the time domain, to an exact computation formulae for the unknown frequency parameter.
In particular, we consider the class of curves with Pythagorean structures, because they provide an exact computation of fundamental geometric quantities.
But, an exact computation of fitness may not be really necessary as long as a proper rank is approximately preserved in the evolution's scheme of the survival of the fittest.
We design approximation algorithms for min set cover achieving ratios that cannot be achieved in polynomial time (unless problems in NP could be solved by slightly super-polynomial algorithms) with worst-case complexity much lower (though super-polynomial) than those of an exact computation.
Using ideas and results from polynomial time approximation and exact computation we design approximation algorithms for several NP-hard combinatorial problems achieving ratios that cannot be achieved in polynomial time (unless a very unlikely complexity conjecture is confirmed) with worst-case complexity much lower (though super-polynomial) than that of an exact computation.
Both algorithms assume only local communication between nodes in immediate neighborhoods and, to achieve an exact computation of the global weights, require only a finite number of iterative message exchanges between nodes in the time interval between two consecutive sensor measurements.
We investigate this direct approach in Section 4. Finally, in Section 6 we propose a Chernoff bound to, which is useful when the CLT assumption is not accurate or when the exact computation presents computational difficulties.
A fast and exact computation of harmonic references is more than crucial for any active filter control strategy, especially during the transient time and frequency domains.
However, VCG relies on exact computation of an optimal allocation of resources, a problem which is often computationally intractable, and VCG that uses an approximate allocation algorithm no longer guarantees truthful revelation of preferences.
Second, exact computation on an l1-gain index of a stochastically stable positive discrete-time Markov jump linear system with time-delay is presented, and a necessary and sufficient condition for the l1-gain performance is derived in the form of linear programming.
Computational results show that the procedure is significantly faster than the exact computation and provides an extremely accurate approximation.
