Sentence examples for unfeasible amount from inspiring English sources

Everything from agaric (fungus) to zedoary (turmeric) is there, taking in Chinese rhubarb, star anise, myrrh, sloes and an unfeasible amount of saffron along the way.

Errors are then propagated, so that common strategies to reconstruct this functional require an unfeasible amount of particles when dealing with nonlinear reactive transport problems.

Lucas maintained he pushed the Italian Mafia aside and earned 1 million dollars a day selling his poison on Harlem street corners, an unfeasible amount for the times.

Italian Prime Minister Matteo Renzi has argued that the rules leave countries like Italy "isolated," while the Greek migration minister Yiannis Mouzalas has complained EU policy is trapping unfeasible amounts of people in Greece.

As a consequence of the latter, we conclude that even if an optimal data set is used and the restrictions imposed by the use of term orders are overcome, the reverse engineering problem remains unfeasible, unless experimentally impracticable amounts of data are available.

Disadvantages of conventional genetic algorithm for network reconfiguration that a large amount of unfeasible solutions are created after crossover and mutation, which result in very low searching efficiency, are completely overcome.

The disadvantages of conventional genetic algorithm for distribution network reconfiguration that a large amount of unfeasible solutions are created in the process of crossover and mutation is completely overcome.

Although potentially valuable, such an analysis is unfeasible for practical reasons, given the amount of labor required to manually digitize a video.

However, storing data in this way has another disadvantage: it requires the data to fit in the collective memory of the cluster so that the framework can be effective; this approach is unfeasible for tasks that have a large amount of data.

Simply performing physical layer simulations of the radio links between all terminals and base-stations is unfeasible for system level investigations because of the vast amount of computational power required.

Our analysis shows that, although global targeted strategies are the most efficient in mitigating epidemics with a limited amount of resources, they can also be unfeasible due to partial knowledge of the population and conflicts with individual rights.