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Question

How to reproduce floating point cos(x)!=cos(x)

score 199 · Answer 1 · 2015-06-11 16:30:15

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How to reproduce floating point cos(x)!=cos(x)

199 views Asked by userbb At 11 June 2015 at 16:30

score 186 · Answer 2 · 2015-06-11 16:48:48

Is float better than double sometimes?

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

score 143 · Answer 3 · 2015-06-11 08:47:48

denormal flushing in floating point arithmetic, function approximation

143 views Asked by user8469759 At 11 June 2015 at 08:47

score 212 · Answer 4 · 2015-06-15 10:09:01

Why are these two calculations which are exactly same giving different results in Fortran using gfortran?

212 views Asked by Yogesh Yadav At 15 June 2015 at 10:09

score 363 · Answer 5 · 2015-06-16 18:51:48

Can an executable in Linux influence the floating point precision within a linked dynamic library?

363 views Asked by Coert Metz At 16 June 2015 at 18:51

score 159 · Answer 6 · 2015-06-11 09:20:13

C/C++ compare to Nan (different behaviors on different floating point model)

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score 1156 · Answer 7 · 2015-06-19 16:40:27

Numpy sum function returns 1.67772e+07

1.1k views Asked by Arnaud BUBBLE At 19 June 2015 at 16:40

score 200 · Answer 8 · 2015-06-23 14:45:17

Trying to understand why mathematical operations between Python Decimal datatype and float datatype are unsupported

200 views Asked by AKKO At 23 June 2015 at 14:45

score 511 · Answer 9 · 2015-06-25 16:17:05

php sum zero value to float number

511 views Asked by SauronZ At 25 June 2015 at 16:17

score 781 · Answer 10 · 2015-06-26 07:34:40

Why optimization flag (-O3) doesn't speed up quadruple precision calculations?

781 views Asked by Alex Koksin At 26 June 2015 at 07:34

TechQA.

List Question

How to reproduce floating point cos(x)!=cos(x)

Is float better than double sometimes?

denormal flushing in floating point arithmetic, function approximation

Why are these two calculations which are exactly same giving different results in Fortran using gfortran?

Can an executable in Linux influence the floating point precision within a linked dynamic library?

C/C++ compare to Nan (different behaviors on different floating point model)

Numpy sum function returns 1.67772e+07

Trying to understand why mathematical operations between Python Decimal datatype and float datatype are unsupported

php sum zero value to float number

Why optimization flag (-O3) doesn't speed up quadruple precision calculations?

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