I don't know vs we typically mean that the quantitative measure of the solution found by the approximation algorithm is within some known factor of the optimal solution’s quantitative measure

The two phrases are not comparable as they serve different purposes. "I don't know" is a common expression used to indicate a lack of knowledge or uncertainty, while the second phrase is a technical explanation related to approximation algorithms. They are used in completely different contexts and cannot be compared for correctness.

Last updated: March 15, 2024 • 710 views

This phrase is correct and commonly used in English to express uncertainty or lack of knowledge.

"I don't know"

This phrase is used when someone is unsure about something or lacks information on a particular topic.

Examples:

I don't know the answer to that question.
She said she didn't know where the keys were.
Do you know what time the meeting starts? - I don't know.
I don't know if I can make it to the party.
He doesn't know how to fix the problem.

Show examples from the web [+]

May 29, 2014 ... I Don't Know - Med School Parody of "Let It Go" from Frozen (University of Chicago Pritzker SOM). Beanie Meadow. SubscribeSubscribed ...
Feb 6, 2015 ... I Don't Know. TomSka. SubscribeSubscribedUnsubscribe .... Elli Phantastic 3 weeks ago. I don't know what to say...hmm. Read more Show ...
And though it feels tempting, avoid saying “I don't know.” What feels like a conclusive statement to you actually sounds like ellipses to your team. It leaves them ...
Feb 16, 2015 ... And though it feels tempting, avoid saying “I don't know.” What feels like a conclusive statement to you actually sounds like ellipses to your team ...

This phrase is correct in the context of discussing approximation algorithms and their performance metrics.

"we typically mean that the quantitative measure of the solution found by the approximation algorithm is within some known factor of the optimal solution’s quantitative measure"

This phrase is used in technical discussions to explain the relationship between the solution found by an approximation algorithm and the optimal solution.

Show examples from the web [+]

May 1, 2014 ... Problem 1. Hand-compile the following C fragments into Beta assembly language. You can assume that the necessary storage allocation for ...

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I don't know vs we typically mean that the quantitative measure of the solution found by the approximation algorithm is within some known factor of the optimal solution’s quantitative measure

"I don't know"

"we typically mean that the quantitative measure of the solution found by the approximation algorithm is within some known factor of the optimal solution’s quantitative measure"

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