The phrase "adapt algorithm" is correct and usable in written English.
You can use it when discussing the modification or adjustment of an algorithm to better suit specific needs or conditions.
Example: "To improve the performance of our software, we need to adapt the algorithm to handle larger datasets more efficiently."
Alternatives: "modify algorithm" or "adjust algorithm".
Thus, to adapt algorithm PARS for the independence condition, one must substitute rules (1') and (2') for rules (1), (2), and (3) to aggregate children's events under Ai, using (1') when (7) holds and (2') otherwise.
By repeating this trick for all ℓ j, it is then possible to adapt Algorithm 1 to compute all with a complexity O(ℓ r × n × | | × L) (ℓ r being the length of the longest sequence), which is a dramatic improvement.
Additional information is provided in the title space of each plot and include the model name, the ADAPT algorithm, the number of iterations necessary for model convergence, and the model description read from the *.run file (Supplementary Data online).
With this, we conclude we can adapt algorithms made for small-scale plagiarism detection to a commercial-scale system.
These data will enable research into whether synthetic imagery may be used to adapt algorithms to new domains.
The adapted algorithm was tested in a mobile AR-prototype application using iPhone.
The adapted algorithm proved valid for measuring spatio-temporal parameters for ski-mountaineering on treadmill.
The third adapted algorithm, called CHPSOLS, combines the fundamental ideas of HPSOLS and CPSOLS in a single algorithm.
The second adapted, algorithm called CPSOLS, is a competitive algorithm which allocates extra function evaluations to the best performing LSA.
The adapted algorithm, called RelaxMCD, is then compared by means of simulations with FASTMCD and the Feasible Subset Algorithm, both benchmark algorithms for computing MCD.
The first adapted algorithm, called HPSOLS, is aimed at improving PSOLS by stopping the local search in LSAs that are not contributing much to the search process.
