Sentence examples similar to a large amount of problems from inspiring English sources

The phrase "a large amount of problems" is not correct in standard English
The correct expression should use "number" instead of "amount" since "problems" is countable. Example: "The project faced a large number of problems that needed to be addressed."

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But the PS4 version has a large amount of reported problems as well, and somehow, some way, Assassin's Creed Unity seems to perform best on Xbox One (though it isn't completely glitch free there either).

A computational experiment with a large amount of randomly generated problem instances is designed to compare the performance of the algorithms.

A large amount of literature on this problem has been published and nearly all of the authors used mathematical programming (MP) methods for solution.

But he points out that being unable to visit quite a large amount of the globe does create problems for Russians under EU travel restrictions.

From this, there was a large amount of literature as regards the problems of subelliptic PDEs on the Carnot-Carathéodory metric space.

Further, if a problem occurs, a large amount of time and manpower are required for repair because of problems related to manual repair systems.

"When I was appointed, the prime minister specially said to me, 'We have some very real problems in our steel industry, and I want you to devote a large amount of your time to solving those problems as much as you can'".

"I think Vince could have done more: sorry, but that is my view," she said, adding, "When I was appointed, the prime minister specially said to me, 'We have some very real problems in our steel industry, and I want you to devote a large amount of your time to solving those problems as much as you can'".

His family believed he had been exploited by drug dealers, and questioned the decision to give someone with his history of problems such a large amount of money.

A large amount of simulation experiments on a set of problem instances generated based on the benchmark Steiner tree problems in the OR-library reveals that the landscape of the DCLC-MRP is highly instance dependent with different landscape features.

A large amount of literature deals with this problem, by applying a variety of different techniques, which we briefly review in Section 2; most approaches however share a common high-level structure: (i) extraction of features from the video data,   (ii) if necessary, dimensionality reduction of feature vectors, by means of techniques such as PCA,   (iii) classification of the sequence.  .

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