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looking for inversed double values

score 41 · Answer 1 · 2015-06-10 10:25:05

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looking for inversed double values

41 views Asked by codem At 10 June 2015 at 10:25

score 145 · Answer 2 · 2015-06-11 16:48:48

Is float better than double sometimes?

145 views Asked by In78 At 11 June 2015 at 16:48

score 440 · Answer 3 · 2015-06-11 01:31:55

Can std::uniform_real_distribution<double>(0,1) return a value greater than 0.99999999999999994?

440 views Asked by starpax At 11 June 2015 at 01:31

score 3970 · Answer 4 · 2015-06-24 09:10:54

For-loop with double in Java

3.9k views Asked by Tizianoreica At 24 June 2015 at 09:10

score 120 · Answer 5 · 2014-11-08 03:11:31

NaN, Java trouble

120 views Asked by Sourisivre At 08 November 2014 at 03:11

score 361 · Answer 6 · 2014-11-13 05:34:32

determine the current precision/epsilon of a floating point variable

361 views Asked by morescientistthancoderfornow At 13 November 2014 at 05:34

score 58 · Answer 7 · 2014-11-15 05:09:19

Double float precision convert it to hexadecimal

58 views Asked by Chmaykel At 15 November 2014 at 05:09

score 236 · Answer 8 · 2014-11-19 18:01:38

Isn't double able to represent any 2^n number without precision issues? n is natural

236 views Asked by LyingOnTheSky At 19 November 2014 at 18:01

score 3972 · Answer 9 · 2013-12-01 16:22:09

precision in python upto 50 decimal places

3.9k views Asked by user103260 At 01 December 2013 at 16:22

score 3358 · Answer 10 · 2013-12-01 19:49:21

Handling loss of precision in subtracting two doubles that are close to each other

3.3k views Asked by Mike Warren At 01 December 2013 at 19:49

TechQA.

List Question

looking for inversed double values

Is float better than double sometimes?

Can std::uniform_real_distribution<double>(0,1) return a value greater than 0.99999999999999994?

For-loop with double in Java

NaN, Java trouble

determine the current precision/epsilon of a floating point variable

Double float precision convert it to hexadecimal

Isn't double able to represent any 2^n number without precision issues? n is natural

precision in python upto 50 decimal places

Handling loss of precision in subtracting two doubles that are close to each other

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