the same principle but using vs finite-precision encoding

These two phrases are not directly comparable as they convey different ideas. 'The same principle but using' introduces a comparison or contrast between two concepts, while 'finite-precision encoding' refers to a specific technical term related to data representation. They serve different purposes and are used in distinct contexts.

Last updated: March 17, 2024 • 649 views

the same principle but using

This phrase is correct and commonly used in English to introduce a comparison or contrast between two concepts.

This phrase is typically used to highlight similarities or differences between two ideas, methods, or approaches.

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Interwiki links on wikis based on free links, such as Wikipedia, typically follow the same principle, but using the delimiters that would be used for internal links.
We follow the same principle, but using only a small sample of words (around 120) to achieve the same result. Among all the words you check in the second step ...
Mar 19, 2013 ... "It is the same principle but using it for different industry," Han says. "Because you can move the ions away or draw them in, you can use the ...
Jul 16, 2013 ... Arcada's newly developed technology is based partly on the same principle, but using a minor modification has transformed production ...

finite-precision encoding

This phrase is correct and commonly used in technical contexts to refer to the representation of numbers with limited precision.

This term is used in computer science, mathematics, and engineering to describe the process of representing real numbers with a fixed number of digits.

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There are also logical reasons why certain things don't work such as finite precision, encoding issues, and design limitations of certain tools.
counterexamples in a finite precision encoding is not always straightforward. 6 Experimental Evaluation. Using industry-standard practices, we generated twelve ...
Floating-point numbers are a finite precision encoding of real numbers. Floating- point operations are not closed: their result may have an absolute value greater ...
Floating-point numbers are a finite precision encoding of real numbers. Floating- point operations are not closed and may throw exceptions: their result may have ...

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the same principle but using vs finite-precision encoding