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This simple memorizing of individual items and procedures known as rote learning is relatively easy to implement on a computer.
Among the several other known iterative schemes, we list the following two which are easy to implement on a computer: Set a 0 = 1 / 2 and s 0 = 5 ( 5 − 2 ).
For presenting an analytical method to compute the distribution function for single-class dynamic PERT network, the method of Kulkarni and Adlakha (1986) will be used because this method presents an analytical, simple, and easy approach to implement on a computer and a computationally stable algorithm to evaluate the distribution function of the project completion time.
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The described RQA-based algorithm is easily implemented on a modern personal computer in real-time.
This would certainly be indeterministic, but probabilistic and stochastic processes can be standardly implemented on a computer, hence they are definitely computable.
This trigonometric set can be easily implemented on a computer.
Idealized strategies cannot be implemented on a computer.
The above mentioned approximations are implemented on a computer.
The proposed method is computationally efficient and the algorithm can be easily implemented on a computer.
An algorithm is implemented on a computer to determine a so-called focal basis.
Finally, the proposed optimal and approximate algorithms are implemented on a computer using Microsoft VC++6.0.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com